From 406e548ca04cfdbbe84ffbccfad44c794bca23f6 Mon Sep 17 00:00:00 2001
From: Xiang Yan <xiangyan@microsoft.com>
Date: Fri, 18 Dec 2020 10:14:51 -0800
Subject: [PATCH 01/10] add aad support for metrics advisor

---
 .../metricsadvisor/_metrics_advisor_client.py | 27 ++++++++++++++-----
 1 file changed, 21 insertions(+), 6 deletions(-)

diff --git a/sdk/metricsadvisor/azure-ai-metricsadvisor/azure/ai/metricsadvisor/_metrics_advisor_client.py b/sdk/metricsadvisor/azure-ai-metricsadvisor/azure/ai/metricsadvisor/_metrics_advisor_client.py
index 87c09c0a3f11..69bb43af115b 100644
--- a/sdk/metricsadvisor/azure-ai-metricsadvisor/azure/ai/metricsadvisor/_metrics_advisor_client.py
+++ b/sdk/metricsadvisor/azure-ai-metricsadvisor/azure/ai/metricsadvisor/_metrics_advisor_client.py
@@ -9,6 +9,7 @@
 from typing import List, Union, Dict, Any, cast, TYPE_CHECKING, overload
 
 from azure.core.tracing.decorator import distributed_trace
+from azure.core.pipeline.policies import BearerTokenCredentialPolicy
 from ._metrics_advisor_key_credential import MetricsAdvisorKeyCredential
 from ._metrics_advisor_key_credential_policy import MetricsAdvisorKeyCredentialPolicy
 from ._generated.models import (
@@ -79,12 +80,26 @@ def __init__(self, endpoint, credential, **kwargs):
 
         self._endpoint = endpoint
 
-        self._client = AzureCognitiveServiceMetricsAdvisorRESTAPIOpenAPIV2(
-            endpoint=endpoint,
-            sdk_moniker=SDK_MONIKER,
-            authentication_policy=MetricsAdvisorKeyCredentialPolicy(credential),
-            **kwargs
-        )
+        if isinstance(credential, MetricsAdvisorKeyCredentialPolicy):
+            self._client = AzureCognitiveServiceMetricsAdvisorRESTAPIOpenAPIV2(
+                endpoint=endpoint,
+                sdk_moniker=SDK_MONIKER,
+                authentication_policy=MetricsAdvisorKeyCredentialPolicy(credential),
+                **kwargs
+            )
+        else:
+            scope = endpoint.strip("/") + "/.default"
+            if hasattr(credential, "get_token"):
+                credential_policy = BearerTokenCredentialPolicy(credential, scope)
+            else:
+                raise TypeError("Please provide an instance from azure-identity "
+                                "or a class that implement the 'get_token protocol")
+            self._client = AzureCognitiveServiceMetricsAdvisorRESTAPIOpenAPIV2(
+                endpoint=endpoint,
+                sdk_moniker=SDK_MONIKER,
+                authentication_policy=credential_policy,
+                **kwargs
+            )
 
     def __repr__(self):
         # type: () -> str

From cafd93dc2525487f51774989504532eb64ea7a0c Mon Sep 17 00:00:00 2001
From: Xiang Yan <xiangyan@microsoft.com>
Date: Sat, 26 Dec 2020 11:55:48 -0800
Subject: [PATCH 02/10] async aad

---
 .../_metrics_advisor_administration_client.py |    32 +-
 .../metricsadvisor/_metrics_advisor_client.py |     7 +-
 ...ics_advisor_administration_client_async.py |    30 +-
 .../aio/_metrics_advisor_client_async.py      |    30 +-
 .../sample_authentication_async.py            |    22 +
 .../samples/sample_authentication.py          |    24 +
 .../async_tests/base_testcase_aad_async.py    |   464 +
 ..._alert_config_multiple_configurations.yaml |   280 +
 ...fig_series_group_alert_direction_both.yaml |   275 +
 ...fig_series_group_alert_direction_down.yaml |   275 +
 ...onfig_series_group_alert_direction_up.yaml |   274 +
 ...onfig_series_group_severity_condition.yaml |   275 +
 ..._create_alert_config_snooze_condition.yaml |   275 +
 ...ert_config_top_n_alert_direction_both.yaml |   275 +
 ...ert_config_top_n_alert_direction_down.yaml |   274 +
 ...alert_config_top_n_alert_direction_up.yaml |   274 +
 ...alert_config_top_n_severity_condition.yaml |   274 +
 ...fig_whole_series_alert_direction_both.yaml |   274 +
 ...fig_whole_series_alert_direction_down.yaml |   274 +
 ...onfig_whole_series_alert_direction_up.yaml |   274 +
 ...onfig_whole_series_severity_condition.yaml |   274 +
 ...fig_aad_async.test_list_alert_configs.yaml |    28 +
 ....test_update_alert_config_with_kwargs.yaml |   272 +
 ...c.test_update_alert_config_with_model.yaml |   273 +
 ...te_alert_config_with_model_and_kwargs.yaml |   270 +
 ...anomaly_alert_by_resetting_properties.yaml |   261 +
 ..._alert_config_multiple_configurations.yaml |   177 +-
 ...fig_series_group_alert_direction_both.yaml |   173 +-
 ...fig_series_group_alert_direction_down.yaml |   173 +-
 ...onfig_series_group_alert_direction_up.yaml |   173 +-
 ...onfig_series_group_severity_condition.yaml |   167 +-
 ..._create_alert_config_snooze_condition.yaml |   171 +-
 ...ert_config_top_n_alert_direction_both.yaml |   173 +-
 ...ert_config_top_n_alert_direction_down.yaml |   173 +-
 ...alert_config_top_n_alert_direction_up.yaml |   173 +-
 ...alert_config_top_n_severity_condition.yaml |   171 +-
 ...fig_whole_series_alert_direction_both.yaml |   173 +-
 ...fig_whole_series_alert_direction_down.yaml |   171 +-
 ...onfig_whole_series_alert_direction_up.yaml |   173 +-
 ...onfig_whole_series_severity_condition.yaml |   171 +-
 ..._config_async.test_list_alert_configs.yaml |    15 +-
 ....test_update_alert_config_with_kwargs.yaml |   179 +-
 ...c.test_update_alert_config_with_model.yaml |   179 +-
 ...te_alert_config_with_model_and_kwargs.yaml |   177 +-
 ...anomaly_alert_by_resetting_properties.yaml |   171 +-
 ...test_get_data_feed_ingestion_progress.yaml |    27 +
 ....test_list_data_feed_ingestion_status.yaml |    33 +
 ..._data_feed_ingestion_status_with_skip.yaml |    62 +
 ...sync.test_refresh_data_feed_ingestion.yaml |    30 +
 ...test_get_data_feed_ingestion_progress.yaml |    12 +-
 ....test_list_data_feed_ingestion_status.yaml |    10 +-
 ..._data_feed_ingestion_status_with_skip.yaml |    20 +-
 ...sync.test_refresh_data_feed_ingestion.yaml |    10 +-
 ...test_create_data_feed_from_sql_server.yaml |   123 +
 ...ed_from_sql_server_with_custom_values.yaml |   124 +
 ...e_data_feed_with_application_insights.yaml |    94 +
 ...test_create_data_feed_with_azure_blob.yaml |    86 +
 ...create_data_feed_with_azure_cosmos_db.yaml |    88 +
 ...est_create_data_feed_with_azure_table.yaml |    87 +
 ...t_create_data_feed_with_data_explorer.yaml |    89 +
 ...c.test_create_data_feed_with_datalake.yaml |    88 +
 ...t_create_data_feed_with_elasticsearch.yaml |    89 +
 ...reate_data_feed_with_http_request_get.yaml |    85 +
 ...eate_data_feed_with_http_request_post.yaml |    87 +
 ...c.test_create_data_feed_with_influxdb.yaml |    88 +
 ...nc.test_create_data_feed_with_mongodb.yaml |    89 +
 ...sync.test_create_data_feed_with_mysql.yaml |    87 +
 ...test_create_data_feed_with_postgresql.yaml |    87 +
 ...ad_async.test_create_simple_data_feed.yaml |    84 +
 ..._feeds_aad_async.test_list_data_feeds.yaml |    57 +
 ...t_list_data_feeds_with_data_feed_name.yaml |    28 +
 ...list_data_feeds_with_granularity_type.yaml |    57 +
 ..._async.test_list_data_feeds_with_skip.yaml |   106 +
 ...test_list_data_feeds_with_source_type.yaml |    39 +
 ...sync.test_list_data_feeds_with_status.yaml |    27 +
 ...date_data_feed_by_reseting_properties.yaml |   162 +
 ...ync.test_update_data_feed_with_kwargs.yaml |   162 +
 ...sync.test_update_data_feed_with_model.yaml |   163 +
 ...pdate_data_feed_with_model_and_kwargs.yaml |   163 +
 ...test_create_data_feed_from_sql_server.yaml |    74 +-
 ...ed_from_sql_server_with_custom_values.yaml |    74 +-
 ...e_data_feed_with_application_insights.yaml |    42 +-
 ...test_create_data_feed_with_azure_blob.yaml |    42 +-
 ...create_data_feed_with_azure_cosmos_db.yaml |    42 +-
 ...est_create_data_feed_with_azure_table.yaml |    42 +-
 ...t_create_data_feed_with_data_explorer.yaml |    42 +-
 ...c.test_create_data_feed_with_datalake.yaml |    42 +-
 ...t_create_data_feed_with_elasticsearch.yaml |    42 +-
 ...reate_data_feed_with_http_request_get.yaml |    42 +-
 ...eate_data_feed_with_http_request_post.yaml |    42 +-
 ...c.test_create_data_feed_with_influxdb.yaml |    42 +-
 ...nc.test_create_data_feed_with_mongodb.yaml |    42 +-
 ...sync.test_create_data_feed_with_mysql.yaml |    42 +-
 ...test_create_data_feed_with_postgresql.yaml |    42 +-
 ...ds_async.test_create_simple_data_feed.yaml |    42 +-
 ...data_feeds_async.test_list_data_feeds.yaml |    26 +-
 ...t_list_data_feeds_with_data_feed_name.yaml |    12 +-
 ...list_data_feeds_with_granularity_type.yaml |    26 +-
 ..._async.test_list_data_feeds_with_skip.yaml |    50 +-
 ...test_list_data_feeds_with_source_type.yaml |    24 +-
 ...sync.test_list_data_feeds_with_status.yaml |    10 +-
 ...date_data_feed_by_reseting_properties.yaml |   118 +-
 ...ync.test_update_data_feed_with_kwargs.yaml |   108 +-
 ...sync.test_update_data_feed_with_model.yaml |   108 +-
 ...pdate_data_feed_with_model_and_kwargs.yaml |   108 +-
 ...onfig_multiple_series_and_group_conds.yaml |   171 +
 ...eate_ad_config_whole_series_detection.yaml |   199 +
 ...ad_config_with_series_and_group_conds.yaml |   156 +
 ...aad_async.test_list_detection_configs.yaml |    35 +
 ...ection_config_by_resetting_properties.yaml |   210 +
 ...t_update_detection_config_with_kwargs.yaml |   230 +
 ...st_update_detection_config_with_model.yaml |   230 +
 ...etection_config_with_model_and_kwargs.yaml |   230 +
 ...onfig_multiple_series_and_group_conds.yaml |    89 +-
 ...eate_ad_config_whole_series_detection.yaml |   119 +-
 ...ad_config_with_series_and_group_conds.yaml |    89 +-
 ...fig_async.test_list_detection_configs.yaml |    22 +-
 ...ection_config_by_resetting_properties.yaml |   125 +-
 ...t_update_detection_config_with_kwargs.yaml |   125 +-
 ...st_update_detection_config_with_model.yaml |   125 +-
 ...etection_config_with_model_and_kwargs.yaml |   125 +-
 ...ooks_aad_async.test_create_email_hook.yaml |   108 +
 ..._hooks_aad_async.test_create_web_hook.yaml |   108 +
 .../test_hooks_aad_async.test_list_hooks.yaml |    31 +
 ...te_email_hook_by_resetting_properties.yaml |   136 +
 ...nc.test_update_email_hook_with_kwargs.yaml |   136 +
 ...ync.test_update_email_hook_with_model.yaml |   137 +
 ...date_email_hook_with_model_and_kwargs.yaml |   136 +
 ...date_web_hook_by_resetting_properties.yaml |   139 +
 ...sync.test_update_web_hook_with_kwargs.yaml |   138 +
 ...async.test_update_web_hook_with_model.yaml |   139 +
 ...update_web_hook_with_model_and_kwargs.yaml |   139 +
 ...st_hooks_async.test_create_email_hook.yaml |    56 +-
 ...test_hooks_async.test_create_web_hook.yaml |    56 +-
 .../test_hooks_async.test_list_hooks.yaml     |    14 +-
 ...te_email_hook_by_resetting_properties.yaml |    72 +-
 ...nc.test_update_email_hook_with_kwargs.yaml |    72 +-
 ...ync.test_update_email_hook_with_model.yaml |    72 +-
 ...date_email_hook_with_model_and_kwargs.yaml |    72 +-
 ...date_web_hook_by_resetting_properties.yaml |    72 +-
 ...sync.test_update_web_hook_with_kwargs.yaml |    72 +-
 ...async.test_update_web_hook_with_model.yaml |    72 +-
 ...update_web_hook_with_model_and_kwargs.yaml |    72 +-
 ..._live_async.test_add_anomaly_feedback.yaml |    33 +
 ..._async.test_add_change_point_feedback.yaml |    33 +
 ..._live_async.test_add_comment_feedback.yaml |    33 +
 ...d_live_async.test_add_period_feedback.yaml |    33 +
 ...ient_aad_live_async.test_get_feedback.yaml |    28 +
 ...lient_aad_live_async.test_list_alerts.yaml |    32 +
 ...e_async.test_list_anomalies_for_alert.yaml |    28 +
 ...anomalies_for_detection_configuration.yaml |  1127 +
 ...live_async.test_list_dimension_values.yaml |    37 +
 ...ent_aad_live_async.test_list_feedback.yaml | 16731 ++++++++++++++
 ...e_async.test_list_incident_root_cause.yaml |    27 +
 ...e_async.test_list_incidents_for_alert.yaml |    28 +
 ...incidents_for_detection_configuration.yaml |   599 +
 ...ync.test_list_metric_dimension_values.yaml |   152 +
 ...test_list_metric_enriched_series_data.yaml |    32 +
 ...nc.test_list_metric_enrichment_status.yaml |    31 +
 ...c.test_list_metric_series_definitions.yaml |  3111 +++
 ...e_async.test_list_metrics_series_data.yaml |    33 +
 ..._live_async.test_add_anomaly_feedback.yaml |    12 +-
 ..._async.test_add_change_point_feedback.yaml |    12 +-
 ..._live_async.test_add_comment_feedback.yaml |    12 +-
 ...t_live_async.test_add_period_feedback.yaml |    12 +-
 ...r_client_live_async.test_get_feedback.yaml |    10 +-
 ...or_client_live_async.test_list_alerts.yaml |    10 +-
 ...e_async.test_list_anomalies_for_alert.yaml |    10 +-
 ...anomalies_for_detection_configuration.yaml |   615 +-
 ...live_async.test_list_dimension_values.yaml |    20 +-
 ..._client_live_async.test_list_feedback.yaml | 16294 ++++++++++++-
 ...e_async.test_list_incident_root_cause.yaml |    16 +-
 ...e_async.test_list_incidents_for_alert.yaml |    14 +-
 ...incidents_for_detection_configuration.yaml |   423 +-
 ...ync.test_list_metric_dimension_values.yaml |    50 +-
 ...test_list_metric_enriched_series_data.yaml |    10 +-
 ...nc.test_list_metric_enrichment_status.yaml |    14 +-
 ...c.test_list_metric_series_definitions.yaml |   710 +-
 ...e_async.test_list_metrics_series_data.yaml |    10 +-
 .../test_alert_config_aad_async.py            |  1100 +
 .../test_data_feed_ingestion_aad_async.py     |    71 +
 .../async_tests/test_data_feeds_aad_async.py  |  1096 +
 .../test_detection_config_aad_async.py        |   826 +
 .../tests/async_tests/test_hooks_aad_async.py |   279 +
 ...t_metrics_advisor_client_aad_live_async.py |   237 +
 .../test_metrics_advisor_client_live_async.py |     2 +-
 .../tests/base_testcase_aad.py                |   461 +
 ..._alert_config_multiple_configurations.yaml |   163 +-
 ...fig_series_group_alert_direction_both.yaml |   159 +-
 ...fig_series_group_alert_direction_down.yaml |   159 +-
 ...onfig_series_group_alert_direction_up.yaml |   159 +-
 ...onfig_series_group_severity_condition.yaml |   153 +-
 ..._create_alert_config_snooze_condition.yaml |   157 +-
 ...ert_config_top_n_alert_direction_both.yaml |   159 +-
 ...ert_config_top_n_alert_direction_down.yaml |   159 +-
 ...alert_config_top_n_alert_direction_up.yaml |   159 +-
 ...alert_config_top_n_severity_condition.yaml |   157 +-
 ...fig_whole_series_alert_direction_both.yaml |   159 +-
 ...fig_whole_series_alert_direction_down.yaml |   159 +-
 ...onfig_whole_series_alert_direction_up.yaml |   159 +-
 ...onfig_whole_series_severity_condition.yaml |   157 +-
 ..._alert_config.test_list_alert_configs.yaml |    15 +-
 ....test_update_alert_config_with_kwargs.yaml |   167 +-
 ...g.test_update_alert_config_with_model.yaml |   167 +-
 ...te_alert_config_with_model_and_kwargs.yaml |   165 +-
 ...anomaly_alert_by_resetting_properties.yaml |   159 +-
 ..._alert_config_multiple_configurations.yaml |   393 +
 ...fig_series_group_alert_direction_both.yaml |   388 +
 ...fig_series_group_alert_direction_down.yaml |   388 +
 ...onfig_series_group_alert_direction_up.yaml |   387 +
 ...onfig_series_group_severity_condition.yaml |   388 +
 ..._create_alert_config_snooze_condition.yaml |   388 +
 ...ert_config_top_n_alert_direction_both.yaml |   388 +
 ...ert_config_top_n_alert_direction_down.yaml |   387 +
 ...alert_config_top_n_alert_direction_up.yaml |   387 +
 ...alert_config_top_n_severity_condition.yaml |   387 +
 ...fig_whole_series_alert_direction_both.yaml |   387 +
 ...fig_whole_series_alert_direction_down.yaml |   387 +
 ...onfig_whole_series_alert_direction_up.yaml |   387 +
 ...onfig_whole_series_severity_condition.yaml |   387 +
 ...rt_config_aad.test_list_alert_configs.yaml |    39 +
 ....test_update_alert_config_with_kwargs.yaml |   371 +
 ...d.test_update_alert_config_with_model.yaml |   372 +
 ...te_alert_config_with_model_and_kwargs.yaml |   369 +
 ...anomaly_alert_by_resetting_properties.yaml |   360 +
 ...test_get_data_feed_ingestion_progress.yaml |    12 +-
 ....test_list_data_feed_ingestion_status.yaml |    10 +-
 ..._data_feed_ingestion_status_with_skip.yaml |    20 +-
 ...tion.test_refresh_data_feed_ingestion.yaml |    10 +-
 ...test_get_data_feed_ingestion_progress.yaml |    38 +
 ....test_list_data_feed_ingestion_status.yaml |    44 +
 ..._data_feed_ingestion_status_with_skip.yaml |    84 +
 ..._aad.test_refresh_data_feed_ingestion.yaml |    40 +
 ...test_create_data_feed_from_sql_server.yaml |    68 +-
 ...ed_from_sql_server_with_custom_values.yaml |    69 +-
 ...e_data_feed_with_application_insights.yaml |    38 +-
 ...test_create_data_feed_with_azure_blob.yaml |    38 +-
 ...create_data_feed_with_azure_cosmos_db.yaml |    38 +-
 ...est_create_data_feed_with_azure_table.yaml |    38 +-
 ...t_create_data_feed_with_data_explorer.yaml |    38 +-
 ...s.test_create_data_feed_with_datalake.yaml |    38 +-
 ...t_create_data_feed_with_elasticsearch.yaml |    38 +-
 ...reate_data_feed_with_http_request_get.yaml |    38 +-
 ...eate_data_feed_with_http_request_post.yaml |    38 +-
 ...s.test_create_data_feed_with_influxdb.yaml |    38 +-
 ...ds.test_create_data_feed_with_mongodb.yaml |    38 +-
 ...eeds.test_create_data_feed_with_mysql.yaml |    38 +-
 ...test_create_data_feed_with_postgresql.yaml |    38 +-
 ...ta_feeds.test_create_simple_data_feed.yaml |    38 +-
 .../test_data_feeds.test_list_data_feeds.yaml |    26 +-
 ...t_list_data_feeds_with_data_feed_name.yaml |    12 +-
 ...list_data_feeds_with_granularity_type.yaml |    26 +-
 ..._feeds.test_list_data_feeds_with_skip.yaml |    50 +-
 ...test_list_data_feeds_with_source_type.yaml |    24 +-
 ...eeds.test_list_data_feeds_with_status.yaml |    10 +-
 ...date_data_feed_by_reseting_properties.yaml |   110 +-
 ...eds.test_update_data_feed_with_kwargs.yaml |   100 +-
 ...eeds.test_update_data_feed_with_model.yaml |   100 +-
 ...pdate_data_feed_with_model_and_kwargs.yaml |   100 +-
 ...test_create_data_feed_from_sql_server.yaml |   168 +
 ...ed_from_sql_server_with_custom_values.yaml |   168 +
 ...e_data_feed_with_application_insights.yaml |   128 +
 ...test_create_data_feed_with_azure_blob.yaml |   120 +
 ...create_data_feed_with_azure_cosmos_db.yaml |   122 +
 ...est_create_data_feed_with_azure_table.yaml |   121 +
 ...t_create_data_feed_with_data_explorer.yaml |   123 +
 ...d.test_create_data_feed_with_datalake.yaml |   122 +
 ...t_create_data_feed_with_elasticsearch.yaml |   123 +
 ...reate_data_feed_with_http_request_get.yaml |   119 +
 ...eate_data_feed_with_http_request_post.yaml |   121 +
 ...d.test_create_data_feed_with_influxdb.yaml |   122 +
 ...ad.test_create_data_feed_with_mongodb.yaml |   123 +
 ..._aad.test_create_data_feed_with_mysql.yaml |   121 +
 ...test_create_data_feed_with_postgresql.yaml |   121 +
 ...eeds_aad.test_create_simple_data_feed.yaml |   118 +
 ...t_data_feeds_aad.test_list_data_feeds.yaml |    68 +
 ...t_list_data_feeds_with_data_feed_name.yaml |    39 +
 ...list_data_feeds_with_granularity_type.yaml |    68 +
 ...ds_aad.test_list_data_feeds_with_skip.yaml |   128 +
 ...test_list_data_feeds_with_source_type.yaml |    50 +
 ..._aad.test_list_data_feeds_with_status.yaml |    38 +
 ...date_data_feed_by_reseting_properties.yaml |   217 +
 ...aad.test_update_data_feed_with_kwargs.yaml |   217 +
 ..._aad.test_update_data_feed_with_model.yaml |   218 +
 ...pdate_data_feed_with_model_and_kwargs.yaml |   218 +
 ...onfig_multiple_series_and_group_conds.yaml |    83 +-
 ...eate_ad_config_whole_series_detection.yaml |   109 +-
 ...ad_config_with_series_and_group_conds.yaml |    83 +-
 ...on_config.test_list_detection_configs.yaml |    22 +-
 ...ection_config_by_resetting_properties.yaml |   115 +-
 ...t_update_detection_config_with_kwargs.yaml |   115 +-
 ...st_update_detection_config_with_model.yaml |   128 +-
 ...etection_config_with_model_and_kwargs.yaml |   115 +-
 ...onfig_multiple_series_and_group_conds.yaml |   227 +
 ...eate_ad_config_whole_series_detection.yaml |   278 +
 ...ad_config_with_series_and_group_conds.yaml |   212 +
 ...onfig_aad.test_list_detection_configs.yaml |    46 +
 ...ection_config_by_resetting_properties.yaml |   287 +
 ...t_update_detection_config_with_kwargs.yaml |   307 +
 ...st_update_detection_config_with_model.yaml |   307 +
 ...etection_config_with_model_and_kwargs.yaml |   307 +
 .../test_hooks.test_create_email_hook.yaml    |    50 +-
 .../test_hooks.test_create_web_hook.yaml      |    50 +-
 .../test_hooks.test_list_hooks.yaml           |    14 +-
 ...te_email_hook_by_resetting_properties.yaml |    64 +-
 ...ks.test_update_email_hook_with_kwargs.yaml |    64 +-
 ...oks.test_update_email_hook_with_model.yaml |    64 +-
 ...date_email_hook_with_model_and_kwargs.yaml |    64 +-
 ...date_web_hook_by_resetting_properties.yaml |    64 +-
 ...ooks.test_update_web_hook_with_kwargs.yaml |    64 +-
 ...hooks.test_update_web_hook_with_model.yaml |    64 +-
 ...update_web_hook_with_model_and_kwargs.yaml |    64 +-
 ...test_hooks_aad.test_create_email_hook.yaml |   153 +
 .../test_hooks_aad.test_create_web_hook.yaml  |   153 +
 .../test_hooks_aad.test_list_hooks.yaml       |    42 +
 ...te_email_hook_by_resetting_properties.yaml |   191 +
 ...ad.test_update_email_hook_with_kwargs.yaml |   191 +
 ...aad.test_update_email_hook_with_model.yaml |   192 +
 ...date_email_hook_with_model_and_kwargs.yaml |   191 +
 ...date_web_hook_by_resetting_properties.yaml |   194 +
 ..._aad.test_update_web_hook_with_kwargs.yaml |   193 +
 ...s_aad.test_update_web_hook_with_model.yaml |   194 +
 ...update_web_hook_with_model_and_kwargs.yaml |   194 +
 ...nt_aad_live.test_add_anomaly_feedback.yaml |    44 +
 ...d_live.test_add_change_point_feedback.yaml |    44 +
 ...nt_aad_live.test_add_comment_feedback.yaml |    44 +
 ...ent_aad_live.test_add_period_feedback.yaml |    44 +
 ...sor_client_aad_live.test_get_feedback.yaml |    39 +
 ...isor_client_aad_live.test_list_alerts.yaml |    43 +
 ...ad_live.test_list_anomalies_for_alert.yaml |    39 +
 ...anomalies_for_detection_configuration.yaml |  1149 +
 ...t_aad_live.test_list_dimension_values.yaml |    48 +
 ...or_client_aad_live.test_list_feedback.yaml | 19084 ++++++++++++++++
 ...ad_live.test_list_incident_root_cause.yaml |    38 +
 ...ad_live.test_list_incidents_for_alert.yaml |    39 +
 ...incidents_for_detection_configuration.yaml |   610 +
 ...ive.test_list_metric_dimension_values.yaml |   207 +
 ...test_list_metric_enriched_series_data.yaml |    43 +
 ...ve.test_list_metric_enrichment_status.yaml |    42 +
 ...e.test_list_metric_series_definitions.yaml |  3892 ++++
 ...ad_live.test_list_metrics_series_data.yaml |    44 +
 ...client_live.test_add_anomaly_feedback.yaml |    12 +-
 ...t_live.test_add_change_point_feedback.yaml |    12 +-
 ...client_live.test_add_comment_feedback.yaml |    12 +-
 ..._client_live.test_add_period_feedback.yaml |    12 +-
 ...advisor_client_live.test_get_feedback.yaml |    10 +-
 ..._advisor_client_live.test_list_alerts.yaml |    10 +-
 ...nt_live.test_list_anomalies_for_alert.yaml |    10 +-
 ...anomalies_for_detection_configuration.yaml |   680 +-
 ...lient_live.test_list_dimension_values.yaml |    20 +-
 ...dvisor_client_live.test_list_feedback.yaml | 18446 ++++++++++++++-
 ...nt_live.test_list_incident_root_cause.yaml |    16 +-
 ...nt_live.test_list_incidents_for_alert.yaml |    16 +-
 ...incidents_for_detection_configuration.yaml |   423 +-
 ...ive.test_list_metric_dimension_values.yaml |    50 +-
 ...test_list_metric_enriched_series_data.yaml |    10 +-
 ...ve.test_list_metric_enrichment_status.yaml |    14 +-
 ...e.test_list_metric_series_definitions.yaml |   710 +-
 ...nt_live.test_list_metrics_series_data.yaml |    10 +-
 .../tests/test_alert_config_aad.py            |  1060 +
 .../tests/test_data_feed_ingestion_aad.py     |    57 +
 .../tests/test_data_feeds_aad.py              |  1028 +
 .../tests/test_detection_config_aad.py        |   806 +
 .../tests/test_hooks_aad.py                   |   255 +
 .../test_metrics_advisor_client_aad_live.py   |   163 +
 .../tests/test_metrics_advisor_client_live.py |     2 +-
 366 files changed, 121845 insertions(+), 8809 deletions(-)
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 create mode 100644 sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_data_feeds_aad.test_create_data_feed_with_mysql.yaml
 create mode 100644 sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_data_feeds_aad.test_create_data_feed_with_postgresql.yaml
 create mode 100644 sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_data_feeds_aad.test_create_simple_data_feed.yaml
 create mode 100644 sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_data_feeds_aad.test_list_data_feeds.yaml
 create mode 100644 sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_data_feeds_aad.test_list_data_feeds_with_data_feed_name.yaml
 create mode 100644 sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_data_feeds_aad.test_list_data_feeds_with_granularity_type.yaml
 create mode 100644 sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_data_feeds_aad.test_list_data_feeds_with_skip.yaml
 create mode 100644 sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_data_feeds_aad.test_list_data_feeds_with_source_type.yaml
 create mode 100644 sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_data_feeds_aad.test_list_data_feeds_with_status.yaml
 create mode 100644 sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_data_feeds_aad.test_update_data_feed_by_reseting_properties.yaml
 create mode 100644 sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_data_feeds_aad.test_update_data_feed_with_kwargs.yaml
 create mode 100644 sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_data_feeds_aad.test_update_data_feed_with_model.yaml
 create mode 100644 sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_data_feeds_aad.test_update_data_feed_with_model_and_kwargs.yaml
 create mode 100644 sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_detection_config_aad.test_create_ad_config_multiple_series_and_group_conds.yaml
 create mode 100644 sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_detection_config_aad.test_create_ad_config_whole_series_detection.yaml
 create mode 100644 sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_detection_config_aad.test_create_ad_config_with_series_and_group_conds.yaml
 create mode 100644 sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_detection_config_aad.test_list_detection_configs.yaml
 create mode 100644 sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_detection_config_aad.test_update_detection_config_by_resetting_properties.yaml
 create mode 100644 sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_detection_config_aad.test_update_detection_config_with_kwargs.yaml
 create mode 100644 sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_detection_config_aad.test_update_detection_config_with_model.yaml
 create mode 100644 sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_detection_config_aad.test_update_detection_config_with_model_and_kwargs.yaml
 create mode 100644 sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_hooks_aad.test_create_email_hook.yaml
 create mode 100644 sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_hooks_aad.test_create_web_hook.yaml
 create mode 100644 sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_hooks_aad.test_list_hooks.yaml
 create mode 100644 sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_hooks_aad.test_update_email_hook_by_resetting_properties.yaml
 create mode 100644 sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_hooks_aad.test_update_email_hook_with_kwargs.yaml
 create mode 100644 sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_hooks_aad.test_update_email_hook_with_model.yaml
 create mode 100644 sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_hooks_aad.test_update_email_hook_with_model_and_kwargs.yaml
 create mode 100644 sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_hooks_aad.test_update_web_hook_by_resetting_properties.yaml
 create mode 100644 sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_hooks_aad.test_update_web_hook_with_kwargs.yaml
 create mode 100644 sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_hooks_aad.test_update_web_hook_with_model.yaml
 create mode 100644 sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_hooks_aad.test_update_web_hook_with_model_and_kwargs.yaml
 create mode 100644 sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_metrics_advisor_client_aad_live.test_add_anomaly_feedback.yaml
 create mode 100644 sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_metrics_advisor_client_aad_live.test_add_change_point_feedback.yaml
 create mode 100644 sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_metrics_advisor_client_aad_live.test_add_comment_feedback.yaml
 create mode 100644 sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_metrics_advisor_client_aad_live.test_add_period_feedback.yaml
 create mode 100644 sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_metrics_advisor_client_aad_live.test_get_feedback.yaml
 create mode 100644 sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_metrics_advisor_client_aad_live.test_list_alerts.yaml
 create mode 100644 sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_metrics_advisor_client_aad_live.test_list_anomalies_for_alert.yaml
 create mode 100644 sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_metrics_advisor_client_aad_live.test_list_anomalies_for_detection_configuration.yaml
 create mode 100644 sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_metrics_advisor_client_aad_live.test_list_dimension_values.yaml
 create mode 100644 sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_metrics_advisor_client_aad_live.test_list_feedback.yaml
 create mode 100644 sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_metrics_advisor_client_aad_live.test_list_incident_root_cause.yaml
 create mode 100644 sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_metrics_advisor_client_aad_live.test_list_incidents_for_alert.yaml
 create mode 100644 sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_metrics_advisor_client_aad_live.test_list_incidents_for_detection_configuration.yaml
 create mode 100644 sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_metrics_advisor_client_aad_live.test_list_metric_dimension_values.yaml
 create mode 100644 sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_metrics_advisor_client_aad_live.test_list_metric_enriched_series_data.yaml
 create mode 100644 sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_metrics_advisor_client_aad_live.test_list_metric_enrichment_status.yaml
 create mode 100644 sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_metrics_advisor_client_aad_live.test_list_metric_series_definitions.yaml
 create mode 100644 sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_metrics_advisor_client_aad_live.test_list_metrics_series_data.yaml
 create mode 100644 sdk/metricsadvisor/azure-ai-metricsadvisor/tests/test_alert_config_aad.py
 create mode 100644 sdk/metricsadvisor/azure-ai-metricsadvisor/tests/test_data_feed_ingestion_aad.py
 create mode 100644 sdk/metricsadvisor/azure-ai-metricsadvisor/tests/test_data_feeds_aad.py
 create mode 100644 sdk/metricsadvisor/azure-ai-metricsadvisor/tests/test_detection_config_aad.py
 create mode 100644 sdk/metricsadvisor/azure-ai-metricsadvisor/tests/test_hooks_aad.py
 create mode 100644 sdk/metricsadvisor/azure-ai-metricsadvisor/tests/test_metrics_advisor_client_aad_live.py

diff --git a/sdk/metricsadvisor/azure-ai-metricsadvisor/azure/ai/metricsadvisor/_metrics_advisor_administration_client.py b/sdk/metricsadvisor/azure-ai-metricsadvisor/azure/ai/metricsadvisor/_metrics_advisor_administration_client.py
index 5617e66c0c55..b38ba57a0386 100644
--- a/sdk/metricsadvisor/azure-ai-metricsadvisor/azure/ai/metricsadvisor/_metrics_advisor_administration_client.py
+++ b/sdk/metricsadvisor/azure-ai-metricsadvisor/azure/ai/metricsadvisor/_metrics_advisor_administration_client.py
@@ -17,6 +17,7 @@
 import datetime
 import six
 from azure.core.tracing.decorator import distributed_trace
+from azure.core.pipeline.policies import BearerTokenCredentialPolicy
 from ._generated._azure_cognitive_service_metrics_advisor_restapi_open_ap_iv2 \
     import AzureCognitiveServiceMetricsAdvisorRESTAPIOpenAPIV2 as _Client
 from ._generated.models import (
@@ -52,6 +53,7 @@
     IngestionStatusQueryOptions as _IngestionStatusQueryOptions,
 )
 from ._version import SDK_MONIKER
+from ._metrics_advisor_key_credential import MetricsAdvisorKeyCredential
 from ._metrics_advisor_key_credential_policy import MetricsAdvisorKeyCredentialPolicy
 from ._helpers import (
     convert_to_generated_data_feed_type,
@@ -85,7 +87,6 @@
 
 if TYPE_CHECKING:
     from azure.core.paging import ItemPaged
-    from ._metrics_advisor_key_credential import MetricsAdvisorKeyCredential
     from ._generated.models import IngestionStatus as DataFeedIngestionStatus
     from .models._models import (
         MetricAlertConfiguration,
@@ -153,7 +154,8 @@ class MetricsAdvisorAdministrationClient(object):  # pylint:disable=too-many-pub
     :param str endpoint: Supported Cognitive Services endpoints (protocol and hostname,
         for example: https://:code:`<resource-name>`.cognitiveservices.azure.com).
     :param credential: An instance of ~azure.ai.metricsadvisor.MetricsAdvisorKeyCredential.
-        Requires both subscription key and API key.
+        which requires both subscription key and API key. Or an object which can provide an access
+        token for the vault, such as a credential from :mod:`azure.identity`
     :type credential: ~azure.ai.metricsadvisor.MetricsAdvisorKeyCredential
 
     .. admonition:: Example:
@@ -179,12 +181,26 @@ def __init__(self, endpoint, credential, **kwargs):
 
         self._endpoint = endpoint
 
-        self._client = _Client(
-            endpoint=endpoint,
-            sdk_moniker=SDK_MONIKER,
-            authentication_policy=MetricsAdvisorKeyCredentialPolicy(credential),
-            **kwargs
-        )
+        if isinstance(credential, MetricsAdvisorKeyCredential):
+            self._client = _Client(
+                endpoint=endpoint,
+                sdk_moniker=SDK_MONIKER,
+                authentication_policy=MetricsAdvisorKeyCredentialPolicy(credential),
+                **kwargs
+            )
+        else:
+            scope = "https://cognitiveservices.azure.com/.default"
+            if hasattr(credential, "get_token"):
+                credential_policy = BearerTokenCredentialPolicy(credential, scope)
+            else:
+                raise TypeError("Please provide an instance from azure-identity "
+                                "or a class that implement the 'get_token protocol")
+            self._client = _Client(
+                endpoint=endpoint,
+                sdk_moniker=SDK_MONIKER,
+                authentication_policy=credential_policy,
+                **kwargs
+            )
 
     def __repr__(self):
         # type: () -> str
diff --git a/sdk/metricsadvisor/azure-ai-metricsadvisor/azure/ai/metricsadvisor/_metrics_advisor_client.py b/sdk/metricsadvisor/azure-ai-metricsadvisor/azure/ai/metricsadvisor/_metrics_advisor_client.py
index 69bb43af115b..7e2afe4f88c8 100644
--- a/sdk/metricsadvisor/azure-ai-metricsadvisor/azure/ai/metricsadvisor/_metrics_advisor_client.py
+++ b/sdk/metricsadvisor/azure-ai-metricsadvisor/azure/ai/metricsadvisor/_metrics_advisor_client.py
@@ -60,7 +60,8 @@ class MetricsAdvisorClient(object):
     :param str endpoint: Supported Cognitive Services endpoints (protocol and hostname,
         for example: https://:code:`<resource-name>`.cognitiveservices.azure.com).
     :param credential: An instance of ~azure.ai.metricsadvisor.MetricsAdvisorKeyCredential.
-        Requires both subscription key and API key.
+        which requires both subscription key and API key. Or an object which can provide an access
+        token for the vault, such as a credential from :mod:`azure.identity`
     :type credential: ~azure.ai.metricsadvisor.MetricsAdvisorKeyCredential
     :keyword Pipeline pipeline: If omitted, the standard pipeline is used.
     :keyword HttpTransport transport: If omitted, the standard pipeline is used.
@@ -80,7 +81,7 @@ def __init__(self, endpoint, credential, **kwargs):
 
         self._endpoint = endpoint
 
-        if isinstance(credential, MetricsAdvisorKeyCredentialPolicy):
+        if isinstance(credential, MetricsAdvisorKeyCredential):
             self._client = AzureCognitiveServiceMetricsAdvisorRESTAPIOpenAPIV2(
                 endpoint=endpoint,
                 sdk_moniker=SDK_MONIKER,
@@ -88,7 +89,7 @@ def __init__(self, endpoint, credential, **kwargs):
                 **kwargs
             )
         else:
-            scope = endpoint.strip("/") + "/.default"
+            scope = "https://cognitiveservices.azure.com/.default"
             if hasattr(credential, "get_token"):
                 credential_policy = BearerTokenCredentialPolicy(credential, scope)
             else:
diff --git a/sdk/metricsadvisor/azure-ai-metricsadvisor/azure/ai/metricsadvisor/aio/_metrics_advisor_administration_client_async.py b/sdk/metricsadvisor/azure-ai-metricsadvisor/azure/ai/metricsadvisor/aio/_metrics_advisor_administration_client_async.py
index 446d81ee309c..5be4b46bcddc 100644
--- a/sdk/metricsadvisor/azure-ai-metricsadvisor/azure/ai/metricsadvisor/aio/_metrics_advisor_administration_client_async.py
+++ b/sdk/metricsadvisor/azure-ai-metricsadvisor/azure/ai/metricsadvisor/aio/_metrics_advisor_administration_client_async.py
@@ -18,6 +18,7 @@
 from azure.core.tracing.decorator import distributed_trace
 from azure.core.tracing.decorator_async import distributed_trace_async
 from azure.core.async_paging import AsyncItemPaged
+from azure.core.pipeline.policies import AsyncBearerTokenCredentialPolicy
 from .._generated.aio import AzureCognitiveServiceMetricsAdvisorRESTAPIOpenAPIV2 as _ClientAsync
 from .._generated.models import (
     AnomalyAlertingConfiguration as _AnomalyAlertingConfiguration,
@@ -65,7 +66,8 @@ class MetricsAdvisorAdministrationClient(object):  # pylint:disable=too-many-pub
     :param str endpoint: Supported Cognitive Services endpoints (protocol and hostname,
         for example: https://:code:`<resource-name>`.cognitiveservices.azure.com).
     :param credential: An instance of ~azure.ai.metricsadvisor.MetricsAdvisorKeyCredential.
-        Requires both subscription key and API key.
+        which requires both subscription key and API key. Or an object which can provide an access
+        token for the vault, such as a credential from :mod:`azure.identity`
     :type credential: ~azure.ai.metricsadvisor.MetricsAdvisorKeyCredential
 
     .. admonition:: Example:
@@ -89,12 +91,26 @@ def __init__(self, endpoint: str, credential: MetricsAdvisorKeyCredential, **kwa
 
         self._endpoint = endpoint
 
-        self._client = _ClientAsync(
-            endpoint=endpoint,
-            sdk_moniker=SDK_MONIKER,
-            authentication_policy=MetricsAdvisorKeyCredentialPolicy(credential),
-            **kwargs
-        )
+        if isinstance(credential, MetricsAdvisorKeyCredential):
+            self._client = _ClientAsync(
+                endpoint=endpoint,
+                sdk_moniker=SDK_MONIKER,
+                authentication_policy=MetricsAdvisorKeyCredentialPolicy(credential),
+                **kwargs
+            )
+        else:
+            scope = "https://cognitiveservices.azure.com/.default"
+            if hasattr(credential, "get_token"):
+                credential_policy = AsyncBearerTokenCredentialPolicy(credential, scope)
+            else:
+                raise TypeError("Please provide an instance from azure-identity "
+                                "or a class that implement the 'get_token protocol")
+            self._client = _ClientAsync(
+                endpoint=endpoint,
+                sdk_moniker=SDK_MONIKER,
+                authentication_policy=credential_policy,
+                **kwargs
+            )
 
     def __repr__(self):
         # type: () -> str
diff --git a/sdk/metricsadvisor/azure-ai-metricsadvisor/azure/ai/metricsadvisor/aio/_metrics_advisor_client_async.py b/sdk/metricsadvisor/azure-ai-metricsadvisor/azure/ai/metricsadvisor/aio/_metrics_advisor_client_async.py
index c037498ebf2e..4b056a1c003e 100644
--- a/sdk/metricsadvisor/azure-ai-metricsadvisor/azure/ai/metricsadvisor/aio/_metrics_advisor_client_async.py
+++ b/sdk/metricsadvisor/azure-ai-metricsadvisor/azure/ai/metricsadvisor/aio/_metrics_advisor_client_async.py
@@ -12,6 +12,7 @@
 from azure.core.tracing.decorator import distributed_trace
 from azure.core.tracing.decorator_async import distributed_trace_async
 from azure.core.async_paging import AsyncItemPaged
+from azure.core.pipeline.policies import AsyncBearerTokenCredentialPolicy
 from .._metrics_advisor_key_credential import MetricsAdvisorKeyCredential
 from .._metrics_advisor_key_credential_policy import MetricsAdvisorKeyCredentialPolicy
 from .._generated.models import (
@@ -59,7 +60,8 @@ class MetricsAdvisorClient(object):
     :param str endpoint: Supported Cognitive Services endpoints (protocol and hostname,
         for example: https://:code:`<resource-name>`.cognitiveservices.azure.com).
     :param credential: An instance of ~azure.ai.metricsadvisor.MetricsAdvisorKeyCredential.
-        Requires both subscription key and API key.
+        which requires both subscription key and API key. Or an object which can provide an access
+        token for the vault, such as a credential from :mod:`azure.identity`
     :type credential: ~azure.ai.metricsadvisor.MetricsAdvisorKeyCredential
     :keyword Pipeline pipeline: If omitted, the standard pipeline is used.
     :keyword HttpTransport transport: If omitted, the standard pipeline is used.
@@ -79,12 +81,26 @@ def __init__(self, endpoint, credential, **kwargs):
 
         self._endpoint = endpoint
 
-        self._client = AzureCognitiveServiceMetricsAdvisorRESTAPIOpenAPIV2(
-            endpoint=endpoint,
-            sdk_moniker=SDK_MONIKER,
-            authentication_policy=MetricsAdvisorKeyCredentialPolicy(credential),
-            **kwargs
-        )
+        if isinstance(credential, MetricsAdvisorKeyCredential):
+            self._client = AzureCognitiveServiceMetricsAdvisorRESTAPIOpenAPIV2(
+                endpoint=endpoint,
+                sdk_moniker=SDK_MONIKER,
+                authentication_policy=MetricsAdvisorKeyCredentialPolicy(credential),
+                **kwargs
+            )
+        else:
+            scope = "https://cognitiveservices.azure.com/.default"
+            if hasattr(credential, "get_token"):
+                credential_policy = AsyncBearerTokenCredentialPolicy(credential, scope)
+            else:
+                raise TypeError("Please provide an instance from azure-identity "
+                                "or a class that implement the 'get_token protocol")
+            self._client = AzureCognitiveServiceMetricsAdvisorRESTAPIOpenAPIV2(
+                endpoint=endpoint,
+                sdk_moniker=SDK_MONIKER,
+                authentication_policy=credential_policy,
+                **kwargs
+            )
 
     def __repr__(self):
         # type: () -> str
diff --git a/sdk/metricsadvisor/azure-ai-metricsadvisor/samples/async_samples/sample_authentication_async.py b/sdk/metricsadvisor/azure-ai-metricsadvisor/samples/async_samples/sample_authentication_async.py
index 512da10d6f8e..8f9ff7e9af79 100644
--- a/sdk/metricsadvisor/azure-ai-metricsadvisor/samples/async_samples/sample_authentication_async.py
+++ b/sdk/metricsadvisor/azure-ai-metricsadvisor/samples/async_samples/sample_authentication_async.py
@@ -54,6 +54,28 @@ async def authentication_administration_client_with_metrics_advisor_credential_a
     # [END administration_client_with_metrics_advisor_credential_async]
 
 
+async def authentication_client_with_aad_async():
+    # [START authentication_client_with_aad_async]
+    from azure.identity.aio import DefaultAzureCredential
+    from azure.ai.metricsadvisor.aio import MetricsAdvisorClient
+
+    service_endpoint = os.getenv("METRICS_ADVISOR_ENDPOINT")
+    credential = DefaultAzureCredential()
+    client = MetricsAdvisorClient(service_endpoint, credential)
+    # [END authentication_client_with_aad_async]
+
+
+async def authentication_administration_client_with_aad_async():
+    # [START authentication_administration_client_with_aad_async]
+    from azure.identity.aio import DefaultAzureCredential
+    from azure.ai.metricsadvisor.aio import MetricsAdvisorAdministrationClient
+
+    service_endpoint = os.getenv("METRICS_ADVISOR_ENDPOINT")
+    credential = DefaultAzureCredential()
+    client = MetricsAdvisorAdministrationClient(service_endpoint, credential)
+    # [END authentication_administration_client_with_aad_async]
+
+
 async def main():
     await authentication_client_with_metrics_advisor_credential_async()
     await authentication_administration_client_with_metrics_advisor_credential_async()
diff --git a/sdk/metricsadvisor/azure-ai-metricsadvisor/samples/sample_authentication.py b/sdk/metricsadvisor/azure-ai-metricsadvisor/samples/sample_authentication.py
index c67a8cc4527a..a4d6e4bd5c98 100644
--- a/sdk/metricsadvisor/azure-ai-metricsadvisor/samples/sample_authentication.py
+++ b/sdk/metricsadvisor/azure-ai-metricsadvisor/samples/sample_authentication.py
@@ -51,6 +51,30 @@ def authentication_administration_client_with_metrics_advisor_credential():
     # [END administration_client_with_metrics_advisor_credential]
 
 
+def authentication_client_with_aad():
+    # [START authentication_client_with_aad]
+    from azure.ai.metricsadvisor import MetricsAdvisorClient
+    from azure.identity import DefaultAzureCredential
+
+    service_endpoint = os.getenv("METRICS_ADVISOR_ENDPOINT")
+    credential = DefaultAzureCredential()
+    client = MetricsAdvisorClient(service_endpoint, credential)
+    # [END authentication_client_with_aad]
+
+
+def authentication_administration_client_with_aad():
+    # [START administration_client_with_aad]
+    from azure.ai.metricsadvisor import MetricsAdvisorAdministrationClient
+    from azure.identity import DefaultAzureCredential
+
+    service_endpoint = os.getenv("METRICS_ADVISOR_ENDPOINT")
+    credential = DefaultAzureCredential()
+    client = MetricsAdvisorAdministrationClient(service_endpoint, credential)
+    # [END administration_client_with_aad]
+
+
 if __name__ == '__main__':
     authentication_client_with_metrics_advisor_credential()
     authentication_administration_client_with_metrics_advisor_credential()
+    authentication_client_with_aad()
+    authentication_administration_client_with_aad()
diff --git a/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/async_tests/base_testcase_aad_async.py b/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/async_tests/base_testcase_aad_async.py
new file mode 100644
index 000000000000..c687cf66ae25
--- /dev/null
+++ b/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/async_tests/base_testcase_aad_async.py
@@ -0,0 +1,464 @@
+# coding=utf-8
+# -------------------------------------------------------------------------
+# Copyright (c) Microsoft Corporation. All rights reserved.
+# Licensed under the MIT License. See License.txt in the project root for
+# license information.
+# --------------------------------------------------------------------------
+
+import asyncio
+import functools
+import datetime
+
+from azure_devtools.scenario_tests.utilities import trim_kwargs_from_test_function
+from devtools_testutils import AzureTestCase
+from azure_devtools.scenario_tests import (
+    ReplayableTest,
+    create_random_name
+)
+from azure.ai.metricsadvisor import (
+    MetricsAdvisorKeyCredential,
+)
+from azure.ai.metricsadvisor.aio import (
+    MetricsAdvisorClient,
+    MetricsAdvisorAdministrationClient,
+)
+from azure.ai.metricsadvisor.models import (
+    SQLServerDataFeed,
+    DataFeedSchema,
+    DataFeedMetric,
+    DataFeedDimension,
+    DataFeedGranularity,
+    DataFeedIngestionSettings,
+    DataFeedMissingDataPointFillSettings,
+    DataFeedRollupSettings,
+    DataFeedOptions,
+    MetricAlertConfiguration,
+    MetricAnomalyAlertScope,
+    MetricAnomalyAlertConditions,
+    MetricBoundaryCondition,
+    TopNGroupScope,
+    SeverityCondition,
+    MetricDetectionCondition,
+    MetricSeriesGroupDetectionCondition,
+    MetricSingleSeriesDetectionCondition,
+    SmartDetectionCondition,
+    SuppressCondition,
+    ChangeThresholdCondition,
+    HardThresholdCondition,
+    EmailNotificationHook,
+    WebNotificationHook,
+)
+from azure.identity.aio import DefaultAzureCredential
+
+class MockCredential():
+    async def get_token(self, *scopes, **kwargs):
+        from azure.core.credentials import AccessToken
+        return AccessToken("fake-token", 0)
+
+class TestMetricsAdvisorAdministrationClientBaseAsync(AzureTestCase):
+    FILTER_HEADERS = ReplayableTest.FILTER_HEADERS + ['Ocp-Apim-Subscription-Key', 'x-api-key']
+
+    def __init__(self, method_name):
+        super(TestMetricsAdvisorAdministrationClientBaseAsync, self).__init__(method_name)
+        self.vcr.match_on = ["path", "method", "query"]
+        if self.is_live:
+            service_endpoint = self.get_settings_value("METRICS_ADVISOR_ENDPOINT")
+            self.sql_server_connection_string = self.get_settings_value("METRICS_ADVISOR_SQL_SERVER_CONNECTION_STRING")
+            self.azure_table_connection_string = self.get_settings_value("METRICS_ADVISOR_AZURE_TABLE_CONNECTION_STRING")
+            self.azure_blob_connection_string = self.get_settings_value("METRICS_ADVISOR_AZURE_BLOB_CONNECTION_STRING")
+            self.azure_cosmosdb_connection_string = self.get_settings_value("METRICS_ADVISOR_COSMOS_DB_CONNECTION_STRING")
+            self.http_request_get_url = self.get_settings_value("METRICS_ADVISOR_HTTP_GET_URL")
+            self.http_request_post_url = self.get_settings_value("METRICS_ADVISOR_HTTP_POST_URL")
+            self.application_insights_api_key = self.get_settings_value("METRICS_ADVISOR_APPLICATION_INSIGHTS_API_KEY")
+            self.azure_data_explorer_connection_string = self.get_settings_value("METRICS_ADVISOR_AZURE_DATA_EXPLORER_CONNECTION_STRING")
+            self.influxdb_connection_string = self.get_settings_value("METRICS_ADVISOR_INFLUX_DB_CONNECTION_STRING")
+            self.influxdb_password = self.get_settings_value("METRICS_ADVISOR_INFLUX_DB_PASSWORD")
+            self.azure_datalake_account_key = self.get_settings_value("METRICS_ADVISOR_AZURE_DATALAKE_ACCOUNT_KEY")
+            self.mongodb_connection_string = self.get_settings_value("METRICS_ADVISOR_AZURE_MONGO_DB_CONNECTION_STRING")
+            self.mysql_connection_string = self.get_settings_value("METRICS_ADVISOR_MYSQL_CONNECTION_STRING")
+            self.postgresql_connection_string = self.get_settings_value("METRICS_ADVISOR_POSTGRESQL_CONNECTION_STRING")
+            self.elasticsearch_auth_header = self.get_settings_value("METRICS_ADVISOR_ELASTICSEARCH_AUTH_HEADER")
+            self.anomaly_detection_configuration_id = self.get_settings_value("METRICS_ADVISOR_ANOMALY_DETECTION_CONFIGURATION_ID")
+            self.data_feed_id = self.get_settings_value("METRICS_ADVISOR_DATA_FEED_ID")
+            self.metric_id = self.get_settings_value("METRICS_ADVISOR_METRIC_ID")
+            credential = DefaultAzureCredential()
+            self.scrubber.register_name_pair(
+                self.sql_server_connection_string,
+                "connectionstring"
+            )
+            self.scrubber.register_name_pair(
+                self.azure_table_connection_string,
+                "connectionstring"
+            )
+            self.scrubber.register_name_pair(
+                self.azure_blob_connection_string,
+                "connectionstring"
+            )
+            self.scrubber.register_name_pair(
+                self.azure_cosmosdb_connection_string,
+                "connectionstring"
+            )
+            self.scrubber.register_name_pair(
+                self.http_request_get_url,
+                "connectionstring"
+            )
+            self.scrubber.register_name_pair(
+                self.http_request_post_url,
+                "connectionstring"
+            )
+            self.scrubber.register_name_pair(
+                self.application_insights_api_key,
+                "connectionstring"
+            )
+            self.scrubber.register_name_pair(
+                self.azure_data_explorer_connection_string,
+                "connectionstring"
+            )
+            self.scrubber.register_name_pair(
+                self.influxdb_connection_string,
+                "connectionstring"
+            )
+            self.scrubber.register_name_pair(
+                self.influxdb_password,
+                "connectionstring"
+            )
+            self.scrubber.register_name_pair(
+                self.azure_datalake_account_key,
+                "connectionstring"
+            )
+            self.scrubber.register_name_pair(
+                self.mongodb_connection_string,
+                "connectionstring"
+            )
+            self.scrubber.register_name_pair(
+                self.mysql_connection_string,
+                "connectionstring"
+            )
+            self.scrubber.register_name_pair(
+                self.postgresql_connection_string,
+                "connectionstring"
+            )
+            self.scrubber.register_name_pair(
+                self.elasticsearch_auth_header,
+                "connectionstring"
+            )
+            self.scrubber.register_name_pair(
+                self.metric_id,
+                "metric_id"
+            )
+            self.scrubber.register_name_pair(
+                self.data_feed_id,
+                "data_feed_id"
+            )
+            self.scrubber.register_name_pair(
+                self.anomaly_detection_configuration_id,
+                "anomaly_detection_configuration_id"
+            )
+        else:
+            service_endpoint = "https://endpointname.cognitiveservices.azure.com"
+            self.sql_server_connection_string = "SQL_SERVER_CONNECTION_STRING"
+            self.azure_table_connection_string = "AZURE_TABLE_CONNECTION_STRING"
+            self.azure_blob_connection_string = "AZURE_BLOB_CONNECTION_STRING"
+            self.azure_cosmosdb_connection_string = "COSMOS_DB_CONNECTION_STRING"
+            self.http_request_get_url = "METRICS_ADVISOR_HTTP_GET_URL"
+            self.http_request_post_url = "METRICS_ADVISOR_HTTP_POST_URL"
+            self.application_insights_api_key = "METRICS_ADVISOR_APPLICATION_INSIGHTS_API_KEY"
+            self.azure_data_explorer_connection_string = "METRICS_ADVISOR_AZURE_DATA_EXPLORER_CONNECTION_STRING"
+            self.influxdb_connection_string = "METRICS_ADVISOR_INFLUXDB_CONNECTION_STRING"
+            self.influxdb_password = "METRICS_ADVISOR_INFLUXDB_PASSWORD"
+            self.azure_datalake_account_key = "METRICS_ADVISOR_AZURE_DATALAKE_ACCOUNT_KEY"
+            self.mongodb_connection_string = "METRICS_ADVISOR_AZURE_MONGODB_CONNECTION_STRING"
+            self.mysql_connection_string = "METRICS_ADVISOR_MYSQL_CONNECTION_STRING"
+            self.postgresql_connection_string = "METRICS_ADVISOR_POSTGRESQL_CONNECTION_STRING"
+            self.elasticsearch_auth_header = "METRICS_ADVISOR_ELASTICSEARCH_AUTH"
+            self.anomaly_detection_configuration_id = "anomaly_detection_configuration_id"
+            self.data_feed_id = "data_feed_id"
+            self.metric_id = "metric_id"
+            credential = MockCredential()
+        self.admin_client = MetricsAdvisorAdministrationClient(service_endpoint, credential)
+
+    async def _create_data_feed(self, name):
+        name = create_random_name(name)
+        return await self.admin_client.create_data_feed(
+            name=name,
+            source=SQLServerDataFeed(
+                connection_string=self.sql_server_connection_string,
+                query="select * from adsample2 where Timestamp = @StartTime"
+            ),
+            granularity="Daily",
+            schema=DataFeedSchema(
+                metrics=[
+                    DataFeedMetric(name="cost"),
+                    DataFeedMetric(name="revenue")
+                ],
+                dimensions=[
+                    DataFeedDimension(name="category"),
+                    DataFeedDimension(name="city")
+                ],
+            ),
+            ingestion_settings="2019-10-01T00:00:00Z",
+        )
+
+    async def _create_data_feed_and_detection_config(self, name):
+        data_feed = await self._create_data_feed(name)
+        detection_config_name = create_random_name(name)
+        detection_config = await self.admin_client.create_detection_configuration(
+            name=detection_config_name,
+            metric_id=data_feed.metric_ids[0],
+            description="testing",
+            whole_series_detection_condition=MetricDetectionCondition(
+                smart_detection_condition=SmartDetectionCondition(
+                    sensitivity=50,
+                    anomaly_detector_direction="Both",
+                    suppress_condition=SuppressCondition(
+                        min_number=50,
+                        min_ratio=50
+                    )
+                )
+            )
+        )
+        return detection_config, data_feed
+
+    async def _create_data_feed_for_update(self, name):
+        data_feed_name = create_random_name(name)
+        return await self.admin_client.create_data_feed(
+            name=data_feed_name,
+            source=SQLServerDataFeed(
+                connection_string=self.sql_server_connection_string,
+                query=u"select * from adsample2 where Timestamp = @StartTime"
+            ),
+            granularity=DataFeedGranularity(
+                granularity_type="Daily",
+            ),
+            schema=DataFeedSchema(
+                metrics=[
+                    DataFeedMetric(name="cost", display_name="display cost", description="the cost"),
+                    DataFeedMetric(name="revenue", display_name="display revenue", description="the revenue")
+                ],
+                dimensions=[
+                    DataFeedDimension(name="category", display_name="display category"),
+                    DataFeedDimension(name="city", display_name="display city")
+                ],
+                timestamp_column="Timestamp"
+            ),
+            ingestion_settings=DataFeedIngestionSettings(
+                ingestion_begin_time=datetime.datetime(2019, 10, 1),
+                data_source_request_concurrency=0,
+                ingestion_retry_delay=-1,
+                ingestion_start_offset=-1,
+                stop_retry_after=-1,
+            ),
+            options=DataFeedOptions(
+                admin_emails=["yournamehere@microsoft.com"],
+                data_feed_description="my first data feed",
+                missing_data_point_fill_settings=DataFeedMissingDataPointFillSettings(
+                    fill_type="SmartFilling"
+                ),
+                rollup_settings=DataFeedRollupSettings(
+                    rollup_type="NoRollup",
+                    rollup_method="None",
+                ),
+                viewer_emails=["viewers"],
+                access_mode="Private",
+                action_link_template="action link template"
+            )
+
+        )
+
+    async def _create_alert_config_for_update(self, name):
+        detection_config, data_feed = await self._create_data_feed_and_detection_config(name)
+        alert_config_name = create_random_name(name)
+        alert_config = await self.admin_client.create_alert_configuration(
+            name=alert_config_name,
+            cross_metrics_operator="AND",
+            metric_alert_configurations=[
+                MetricAlertConfiguration(
+                    detection_configuration_id=detection_config.id,
+                    alert_scope=MetricAnomalyAlertScope(
+                        scope_type="TopN",
+                        top_n_group_in_scope=TopNGroupScope(
+                            top=5,
+                            period=10,
+                            min_top_count=9
+                        )
+                    ),
+                    alert_conditions=MetricAnomalyAlertConditions(
+                        metric_boundary_condition=MetricBoundaryCondition(
+                            direction="Both",
+                            companion_metric_id=data_feed.metric_ids[0],
+                            lower=1.0,
+                            upper=5.0
+                        )
+                    )
+                ),
+                MetricAlertConfiguration(
+                    detection_configuration_id=detection_config.id,
+                    alert_scope=MetricAnomalyAlertScope(
+                        scope_type="SeriesGroup",
+                        series_group_in_scope={'city': 'Shenzhen'}
+                    ),
+                    alert_conditions=MetricAnomalyAlertConditions(
+                        severity_condition=SeverityCondition(
+                            min_alert_severity="Low",
+                            max_alert_severity="High"
+                        )
+                    )
+                ),
+                MetricAlertConfiguration(
+                    detection_configuration_id=detection_config.id,
+                    alert_scope=MetricAnomalyAlertScope(
+                        scope_type="WholeSeries"
+                    ),
+                    alert_conditions=MetricAnomalyAlertConditions(
+                        severity_condition=SeverityCondition(
+                            min_alert_severity="Low",
+                            max_alert_severity="High"
+                        )
+                    )
+                )
+            ],
+            hook_ids=[]
+        )
+        return alert_config, data_feed, detection_config
+
+    async def _create_detection_config_for_update(self, name):
+        data_feed = await self._create_data_feed(name)
+        detection_config_name = create_random_name("testupdated")
+        detection_config = await self.admin_client.create_detection_configuration(
+            name=detection_config_name,
+            metric_id=data_feed.metric_ids[0],
+            description="My test metric anomaly detection configuration",
+            whole_series_detection_condition=MetricDetectionCondition(
+                cross_conditions_operator="AND",
+                smart_detection_condition=SmartDetectionCondition(
+                    sensitivity=50,
+                    anomaly_detector_direction="Both",
+                    suppress_condition=SuppressCondition(
+                        min_number=50,
+                        min_ratio=50
+                    )
+                ),
+                hard_threshold_condition=HardThresholdCondition(
+                    anomaly_detector_direction="Both",
+                    suppress_condition=SuppressCondition(
+                        min_number=5,
+                        min_ratio=5
+                    ),
+                    lower_bound=0,
+                    upper_bound=100
+                ),
+                change_threshold_condition=ChangeThresholdCondition(
+                    change_percentage=50,
+                    shift_point=30,
+                    within_range=True,
+                    anomaly_detector_direction="Both",
+                    suppress_condition=SuppressCondition(
+                        min_number=2,
+                        min_ratio=2
+                    )
+                )
+            ),
+            series_detection_conditions=[MetricSingleSeriesDetectionCondition(
+                series_key={"city": "Shenzhen", "category": "Jewelry"},
+                smart_detection_condition=SmartDetectionCondition(
+                    anomaly_detector_direction="Both",
+                    sensitivity=63,
+                    suppress_condition=SuppressCondition(
+                        min_number=1,
+                        min_ratio=100
+                    )
+                )
+            )],
+            series_group_detection_conditions=[MetricSeriesGroupDetectionCondition(
+                series_group_key={"city": "Sao Paulo"},
+                smart_detection_condition=SmartDetectionCondition(
+                    anomaly_detector_direction="Both",
+                    sensitivity=63,
+                    suppress_condition=SuppressCondition(
+                        min_number=1,
+                        min_ratio=100
+                    )
+                )
+            )]
+        )
+        return detection_config, data_feed
+
+    async def _create_email_hook_for_update(self, name):
+        return await self.admin_client.create_hook(
+            hook=EmailNotificationHook(
+                name=name,
+                emails_to_alert=["yournamehere@microsoft.com"],
+                description="my email hook",
+                external_link="external link"
+            )
+        )
+
+    async def _create_web_hook_for_update(self, name):
+        return await self.admin_client.create_hook(
+            hook=WebNotificationHook(
+                name=name,
+                endpoint="https://httpbin.org/post",
+                description="my web hook",
+                external_link="external link",
+                username="krista",
+                password="123"
+            )
+        )
+
+
+class TestMetricsAdvisorClientBaseAsync(AzureTestCase):
+    FILTER_HEADERS = ReplayableTest.FILTER_HEADERS + ['Ocp-Apim-Subscription-Key', 'x-api-key']
+
+    def __init__(self, method_name):
+        super(TestMetricsAdvisorClientBaseAsync, self).__init__(method_name)
+        self.vcr.match_on = ["path", "method", "query"]
+        if self.is_live:
+            service_endpoint = self.get_settings_value("METRICS_ADVISOR_ENDPOINT")
+            self.anomaly_detection_configuration_id = self.get_settings_value("METRICS_ADVISOR_ANOMALY_DETECTION_CONFIGURATION_ID")
+            self.anomaly_alert_configuration_id = self.get_settings_value("METRICS_ADVISOR_ANOMALY_ALERT_CONFIGURATION_ID")
+            self.metric_id = self.get_settings_value("METRICS_ADVISOR_METRIC_ID")
+            self.incident_id = self.get_settings_value("METRICS_ADVISOR_INCIDENT_ID")
+            self.dimension_name = self.get_settings_value("METRICS_ADVISOR_DIMENSION_NAME")
+            self.feedback_id = self.get_settings_value("METRICS_ADVISOR_FEEDBACK_ID")
+            self.alert_id = self.get_settings_value("METRICS_ADVISOR_ALERT_ID")
+            credential = DefaultAzureCredential()
+            self.scrubber.register_name_pair(
+                self.anomaly_detection_configuration_id,
+                "anomaly_detection_configuration_id"
+            )
+            self.scrubber.register_name_pair(
+                self.anomaly_alert_configuration_id,
+                "anomaly_alert_configuration_id"
+            )
+            self.scrubber.register_name_pair(
+                self.metric_id,
+                "metric_id"
+            )
+            self.scrubber.register_name_pair(
+                self.incident_id,
+                "incident_id"
+            )
+            self.scrubber.register_name_pair(
+                self.dimension_name,
+                "dimension_name"
+            )
+            self.scrubber.register_name_pair(
+                self.feedback_id,
+                "feedback_id"
+            )
+            self.scrubber.register_name_pair(
+                self.alert_id,
+                "alert_id"
+            )
+        else:
+            service_endpoint = "https://endpointname.cognitiveservices.azure.com"
+            self.anomaly_detection_configuration_id = "anomaly_detection_configuration_id"
+            self.anomaly_alert_configuration_id = "anomaly_alert_configuration_id"
+            self.metric_id = "metric_id"
+            self.incident_id = "incident_id"
+            self.dimension_name = "dimension_name"
+            self.feedback_id = "feedback_id"
+            self.alert_id = "alert_id"
+            credential = MockCredential()
+
+        self.client = MetricsAdvisorClient(service_endpoint, credential)
diff --git a/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/async_tests/recordings/test_alert_config_aad_async.test_create_alert_config_multiple_configurations.yaml b/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/async_tests/recordings/test_alert_config_aad_async.test_create_alert_config_multiple_configurations.yaml
new file mode 100644
index 000000000000..ebd17c311050
--- /dev/null
+++ b/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/async_tests/recordings/test_alert_config_aad_async.test_create_alert_config_multiple_configurations.yaml
@@ -0,0 +1,280 @@
+interactions:
+- request:
+    body: '{"dataSourceType": "SqlServer", "dataFeedName": "multipleojipuxxrz224tglf",
+      "granularityName": "Daily", "metrics": [{"metricName": "cost"}, {"metricName":
+      "revenue"}], "dimension": [{"dimensionName": "category"}, {"dimensionName":
+      "city"}], "dataStartFrom": "2019-10-01T00:00:00.000Z", "startOffsetInSeconds":
+      0, "maxConcurrency": -1, "minRetryIntervalInSeconds": -1, "stopRetryAfterInSeconds":
+      -1, "dataSourceParameter": {"connectionString": "connectionstring", "query":
+      "select\u202f*\u202ffrom\u202fadsample2\u202fwhere\u202fTimestamp\u202f=\u202f@StartTime"}}'
+    headers:
+      Accept:
+      - application/json
+      Content-Length:
+      - '779'
+      Content-Type:
+      - application/json
+      User-Agent:
+      - azsdk-python-ai-metricsadvisor/1.0.0b3 Python/3.8.6 (Windows-10-10.0.19041-SP0)
+    method: POST
+    uri: https://js-metrics-advisor.cognitiveservices.azure.com/metricsadvisor/v1.0/dataFeeds
+  response:
+    body:
+      string: ''
+    headers:
+      apim-request-id: 5d809f16-b3c1-4968-9bbc-bd176f93b1f3
+      content-length: '0'
+      date: Sat, 26 Dec 2020 19:35:59 GMT
+      location: https://js-metrics-advisor.cognitiveservices.azure.com/metricsadvisor/v1.0/dataFeeds/af0427ce-122b-4e5d-a8a2-b93394eba685
+      strict-transport-security: max-age=31536000; includeSubDomains; preload
+      x-content-type-options: nosniff
+      x-envoy-upstream-service-time: '848'
+      x-request-id: 5d809f16-b3c1-4968-9bbc-bd176f93b1f3
+    status:
+      code: 201
+      message: Created
+    url: https://js-metrics-advisor.cognitiveservices.azure.com//metricsadvisor/v1.0/dataFeeds
+- request:
+    body: null
+    headers:
+      Accept:
+      - application/json
+      User-Agent:
+      - azsdk-python-ai-metricsadvisor/1.0.0b3 Python/3.8.6 (Windows-10-10.0.19041-SP0)
+    method: GET
+    uri: https://js-metrics-advisor.cognitiveservices.azure.com/metricsadvisor/v1.0/dataFeeds/af0427ce-122b-4e5d-a8a2-b93394eba685
+  response:
+    body:
+      string: "{\"dataFeedId\":\"af0427ce-122b-4e5d-a8a2-b93394eba685\",\"dataFeedName\":\"multipleojipuxxrz224tglf\",\"metrics\":[{\"metricId\":\"c3f069c5-c7d7-4254-95a8-7d72ffd8d31e\",\"metricName\":\"cost\",\"metricDisplayName\":\"cost\",\"metricDescription\":\"\"},{\"metricId\":\"a6ec1a1a-45eb-42a7-9310-f970d08b9fca\",\"metricName\":\"revenue\",\"metricDisplayName\":\"revenue\",\"metricDescription\":\"\"}],\"dimension\":[{\"dimensionName\":\"category\",\"dimensionDisplayName\":\"category\"},{\"dimensionName\":\"city\",\"dimensionDisplayName\":\"city\"}],\"dataStartFrom\":\"2019-10-01T00:00:00Z\",\"dataSourceType\":\"SqlServer\",\"timestampColumn\":\"\",\"startOffsetInSeconds\":0,\"maxQueryPerMinute\":30.0,\"granularityName\":\"Daily\",\"granularityAmount\":null,\"allUpIdentification\":null,\"needRollup\":\"NoRollup\",\"fillMissingPointType\":\"PreviousValue\",\"fillMissingPointValue\":0.0,\"rollUpMethod\":\"None\",\"rollUpColumns\":[],\"dataFeedDescription\":\"\",\"stopRetryAfterInSeconds\":-1,\"minRetryIntervalInSeconds\":-1,\"maxConcurrency\":-1,\"viewMode\":\"Private\",\"admins\":[\"f850650c-1fcf-4489-b46f-71af2e30d360\"],\"viewers\":[],\"creator\":\"f850650c-1fcf-4489-b46f-71af2e30d360\",\"status\":\"Active\",\"createdTime\":\"2020-12-26T19:35:59Z\",\"isAdmin\":true,\"actionLinkTemplate\":\"\",\"dataSourceParameter\":{\"connectionString\":\"connectionstring\",\"query\":\"select\u202F*\u202Ffrom\u202Fadsample2\u202Fwhere\u202FTimestamp\u202F=\u202F@StartTime\"}}"
+    headers:
+      apim-request-id: c3981fec-6afc-4d0d-a831-07ff77a1a7df
+      content-length: '1525'
+      content-type: application/json; charset=utf-8
+      date: Sat, 26 Dec 2020 19:35:59 GMT
+      strict-transport-security: max-age=31536000; includeSubDomains; preload
+      x-content-type-options: nosniff
+      x-envoy-upstream-service-time: '210'
+      x-request-id: c3981fec-6afc-4d0d-a831-07ff77a1a7df
+    status:
+      code: 200
+      message: OK
+    url: https://js-metrics-advisor.cognitiveservices.azure.com//metricsadvisor/v1.0/dataFeeds/af0427ce-122b-4e5d-a8a2-b93394eba685
+- request:
+    body: '{"name": "multipleylqxhblsl5c75627", "description": "testing", "metricId":
+      "c3f069c5-c7d7-4254-95a8-7d72ffd8d31e", "wholeMetricConfiguration": {"smartDetectionCondition":
+      {"sensitivity": 50.0, "anomalyDetectorDirection": "Both", "suppressCondition":
+      {"minNumber": 50, "minRatio": 50.0}}}}'
+    headers:
+      Accept:
+      - application/json
+      Content-Length:
+      - '288'
+      Content-Type:
+      - application/json
+      User-Agent:
+      - azsdk-python-ai-metricsadvisor/1.0.0b3 Python/3.8.6 (Windows-10-10.0.19041-SP0)
+    method: POST
+    uri: https://js-metrics-advisor.cognitiveservices.azure.com/metricsadvisor/v1.0/enrichment/anomalyDetection/configurations
+  response:
+    body:
+      string: ''
+    headers:
+      apim-request-id: 5b4a2558-fa04-4fda-9f57-cc4a4040fd49
+      content-length: '0'
+      date: Sat, 26 Dec 2020 19:36:00 GMT
+      location: https://js-metrics-advisor.cognitiveservices.azure.com/metricsadvisor/v1.0/enrichment/anomalyDetection/configurations/376c821e-c6a0-49fa-b5c6-ea3f7654ebb8
+      strict-transport-security: max-age=31536000; includeSubDomains; preload
+      x-content-type-options: nosniff
+      x-envoy-upstream-service-time: '838'
+      x-request-id: 5b4a2558-fa04-4fda-9f57-cc4a4040fd49
+    status:
+      code: 201
+      message: Created
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new file mode 100644
index 000000000000..92e47c9919a5
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diff --git a/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/async_tests/recordings/test_alert_config_aad_async.test_create_alert_config_top_n_alert_direction_up.yaml b/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/async_tests/recordings/test_alert_config_aad_async.test_create_alert_config_top_n_alert_direction_up.yaml
new file mode 100644
index 000000000000..b58553794af2
--- /dev/null
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new file mode 100644
index 000000000000..3f64b4abc84b
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new file mode 100644
index 000000000000..7f056b46d792
--- /dev/null
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new file mode 100644
index 000000000000..20173dba257c
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new file mode 100644
index 000000000000..48b738d3d3d0
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index a125f89212dc..1ec5c8b7bd3e 100644
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index 2b946bc49ea5..ce15ee947a3f 100644
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new file mode 100644
index 000000000000..6af9958ff00a
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+++ b/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/async_tests/recordings/test_data_feeds_aad_async.test_create_data_feed_with_application_insights.yaml
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diff --git a/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/async_tests/recordings/test_data_feeds_aad_async.test_create_data_feed_with_azure_cosmos_db.yaml b/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/async_tests/recordings/test_data_feeds_aad_async.test_create_data_feed_with_azure_cosmos_db.yaml
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new file mode 100644
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new file mode 100644
index 000000000000..e2f66d646f4e
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new file mode 100644
index 000000000000..97fd42138c2e
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new file mode 100644
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+  response:
+    body:
+      string: "{\"value\":[{\"dataFeedId\":\"0878ef33-d3c0-4868-a556-c0287d971180\",\"dataFeedName\":\"updatehlgw2i4smv3ngmdqej\",\"metrics\":[{\"metricId\":\"97adb289-7ce7-41a8-a476-bc6131de2e00\",\"metricName\":\"cost\",\"metricDisplayName\":\"display
+        cost\",\"metricDescription\":\"the cost\"},{\"metricId\":\"eecc41f9-518e-4186-bb6b-b18ee53c7ecf\",\"metricName\":\"revenue\",\"metricDisplayName\":\"display
+        revenue\",\"metricDescription\":\"the revenue\"}],\"dimension\":[{\"dimensionName\":\"category\",\"dimensionDisplayName\":\"display
+        category\"},{\"dimensionName\":\"city\",\"dimensionDisplayName\":\"display
+        city\"}],\"dataStartFrom\":\"2019-10-01T00:00:00Z\",\"dataSourceType\":\"SqlServer\",\"timestampColumn\":\"Timestamp\",\"startOffsetInSeconds\":-1,\"maxQueryPerMinute\":30.0,\"granularityName\":\"Daily\",\"granularityAmount\":null,\"allUpIdentification\":null,\"needRollup\":\"NoRollup\",\"fillMissingPointType\":\"SmartFilling\",\"fillMissingPointValue\":0.0,\"rollUpMethod\":\"None\",\"rollUpColumns\":[],\"dataFeedDescription\":\"my
+        first data feed\",\"stopRetryAfterInSeconds\":-1,\"minRetryIntervalInSeconds\":-1,\"maxConcurrency\":0,\"viewMode\":\"Private\",\"admins\":[\"yournamehere@microsoft.com\",\"f850650c-1fcf-4489-b46f-71af2e30d360\"],\"viewers\":[\"viewers\"],\"creator\":\"f850650c-1fcf-4489-b46f-71af2e30d360\",\"status\":\"Active\",\"createdTime\":\"2020-12-26T19:11:43Z\",\"isAdmin\":true,\"actionLinkTemplate\":\"action
+        link template\",\"dataSourceParameter\":{\"connectionString\":\"connectionstring\",\"query\":\"select\u202F*\u202Ffrom\u202Fadsample2\u202Fwhere\u202FTimestamp\u202F=\u202F@StartTime\"}},{\"dataFeedId\":\"bd1533c3-b9a4-44f1-9a49-59d3ea4f5f4d\",\"dataFeedName\":\"js-test-appInsightsFeed-160530608834108103\",\"metrics\":[{\"metricId\":\"c5ed1cbf-6f8b-4c63-83f9-8fdbeb3099c3\",\"metricName\":\"cost\",\"metricDisplayName\":\"cost\",\"metricDescription\":\"\"},{\"metricId\":\"cd69f758-a534-458e-96b9-2ed9c798476a\",\"metricName\":\"revenue\",\"metricDisplayName\":\"revenue\",\"metricDescription\":\"\"}],\"dimension\":[{\"dimensionName\":\"category\",\"dimensionDisplayName\":\"category\"},{\"dimensionName\":\"city\",\"dimensionDisplayName\":\"city\"}],\"dataStartFrom\":\"2020-08-21T00:00:00Z\",\"dataSourceType\":\"AzureApplicationInsights\",\"timestampColumn\":\"\",\"startOffsetInSeconds\":0,\"maxQueryPerMinute\":30.0,\"granularityName\":\"Daily\",\"granularityAmount\":null,\"allUpIdentification\":\"__CUSTOM_SUM__\",\"needRollup\":\"NeedRollup\",\"fillMissingPointType\":\"CustomValue\",\"fillMissingPointValue\":555.0,\"rollUpMethod\":\"Sum\",\"rollUpColumns\":[],\"dataFeedDescription\":\"Data
+        feed description\",\"stopRetryAfterInSeconds\":-1,\"minRetryIntervalInSeconds\":-1,\"maxConcurrency\":-1,\"viewMode\":\"Private\",\"admins\":[\"kaghiya@microsoft.com\"],\"viewers\":[],\"creator\":\"kaghiya@microsoft.com\",\"status\":\"Active\",\"createdTime\":\"2020-11-13T22:21:31Z\",\"isAdmin\":true,\"actionLinkTemplate\":\"\",\"dataSourceParameter\":{\"apiKey\":\"connectionstring\",\"query\":\"let
+        gran=60m; let starttime=datetime(@StartTime); let endtime=starttime + gran;
+        requests |?where?timestamp?>=?starttime?and?timestamp?<?endtime |?summarize?request_count?=?count(),?duration_avg_ms?=?avg(duration),?duration_95th_ms?=?percentile(duration,?95),?duration_max_ms?=?max(duration)?by?resultCode\",\"azureCloud\":\"Azure\",\"applicationId\":\"3706fe8b-98f1-47c7-bf69-b73b6e53274d\"}},{\"dataFeedId\":\"2169ef15-ae74-4fe6-bce1-1bb7c58217a4\",\"dataFeedName\":\"js-test-appInsightsFeed-160530606466100954\",\"metrics\":[{\"metricId\":\"be0316fc-9106-4d02-b1b7-2248614ce8ff\",\"metricName\":\"cost\",\"metricDisplayName\":\"cost\",\"metricDescription\":\"\"},{\"metricId\":\"465c2be4-3a00-4178-a6a9-41fcb4432cf4\",\"metricName\":\"revenue\",\"metricDisplayName\":\"revenue\",\"metricDescription\":\"\"}],\"dimension\":[{\"dimensionName\":\"category\",\"dimensionDisplayName\":\"category\"},{\"dimensionName\":\"city\",\"dimensionDisplayName\":\"city\"}],\"dataStartFrom\":\"2020-08-21T00:00:00Z\",\"dataSourceType\":\"AzureApplicationInsights\",\"timestampColumn\":\"\",\"startOffsetInSeconds\":0,\"maxQueryPerMinute\":30.0,\"granularityName\":\"Daily\",\"granularityAmount\":null,\"allUpIdentification\":\"__CUSTOM_SUM__\",\"needRollup\":\"NeedRollup\",\"fillMissingPointType\":\"CustomValue\",\"fillMissingPointValue\":555.0,\"rollUpMethod\":\"Sum\",\"rollUpColumns\":[],\"dataFeedDescription\":\"Data
+        feed description\",\"stopRetryAfterInSeconds\":-1,\"minRetryIntervalInSeconds\":-1,\"maxConcurrency\":-1,\"viewMode\":\"Private\",\"admins\":[\"kaghiya@microsoft.com\"],\"viewers\":[],\"creator\":\"kaghiya@microsoft.com\",\"status\":\"Active\",\"createdTime\":\"2020-11-13T22:21:10Z\",\"isAdmin\":true,\"actionLinkTemplate\":\"\",\"dataSourceParameter\":{\"apiKey\":\"connectionstring\",\"query\":\"let
+        gran=60m; let starttime=datetime(@StartTime); let endtime=starttime + gran;
+        requests |?where?timestamp?>=?starttime?and?timestamp?<?endtime |?summarize?request_count?=?count(),?duration_avg_ms?=?avg(duration),?duration_95th_ms?=?percentile(duration,?95),?duration_max_ms?=?max(duration)?by?resultCode\",\"azureCloud\":\"Azure\",\"applicationId\":\"3706fe8b-98f1-47c7-bf69-b73b6e53274d\"}},{\"dataFeedId\":\"9d85a33d-7de0-411d-aa0f-f1940b7973b6\",\"dataFeedName\":\"test_datafeed_1605050124034\",\"metrics\":[{\"metricId\":\"49205ee4-255c-4c4e-8d8d-d94b87896ff9\",\"metricName\":\"cost\",\"metricDisplayName\":\"cost\",\"metricDescription\":\"Metric2
+        description\"},{\"metricId\":\"590d7610-ae2a-41ab-8504-c509e724afc5\",\"metricName\":\"revenue\",\"metricDisplayName\":\"revenue\",\"metricDescription\":\"Metric1
+        description\"}],\"dimension\":[{\"dimensionName\":\"category\",\"dimensionDisplayName\":\"category
+        display\"},{\"dimensionName\":\"city\",\"dimensionDisplayName\":\"city display\"}],\"dataStartFrom\":\"2020-06-01T00:00:00Z\",\"dataSourceType\":\"SqlServer\",\"timestampColumn\":\"\",\"startOffsetInSeconds\":0,\"maxQueryPerMinute\":30.0,\"granularityName\":\"Daily\",\"granularityAmount\":null,\"allUpIdentification\":\"__CUSTOM_SUM__\",\"needRollup\":\"NeedRollup\",\"fillMissingPointType\":\"SmartFilling\",\"fillMissingPointValue\":0.0,\"rollUpMethod\":\"Sum\",\"rollUpColumns\":[],\"dataFeedDescription\":\"\",\"stopRetryAfterInSeconds\":-1,\"minRetryIntervalInSeconds\":-1,\"maxConcurrency\":-1,\"viewMode\":\"Private\",\"admins\":[\"kaghiya@microsoft.com\",\"xyz@example.com\"],\"viewers\":[],\"creator\":\"kaghiya@microsoft.com\",\"status\":\"Active\",\"createdTime\":\"2020-11-10T23:15:25Z\",\"isAdmin\":true,\"actionLinkTemplate\":\"\",\"dataSourceParameter\":{\"connectionString\":\"connectionstring;\",\"query\":\"select
+        * from adsample2 where Timestamp = @StartTime\"}},{\"dataFeedId\":\"7b9edf98-78b6-4ddd-b44a-2bac83cae6b3\",\"dataFeedName\":\"js-test-appInsightsFeed-160497041382000529\",\"metrics\":[{\"metricId\":\"988eb02a-f67b-4200-b96e-48250890a621\",\"metricName\":\"Metric1\",\"metricDisplayName\":\"Metric1\",\"metricDescription\":\"\"},{\"metricId\":\"b51dbae1-009c-4fae-a24b-32cae2822706\",\"metricName\":\"Metric2\",\"metricDisplayName\":\"Metric2\",\"metricDescription\":\"\"}],\"dimension\":[{\"dimensionName\":\"Dim1\",\"dimensionDisplayName\":\"Dim1
+        display\"},{\"dimensionName\":\"Dim2\",\"dimensionDisplayName\":\"Dim2 display\"}],\"dataStartFrom\":\"2020-08-21T00:00:00Z\",\"dataSourceType\":\"AzureApplicationInsights\",\"timestampColumn\":\"\",\"startOffsetInSeconds\":0,\"maxQueryPerMinute\":30.0,\"granularityName\":\"Daily\",\"granularityAmount\":null,\"allUpIdentification\":\"__CUSTOM_SUM__\",\"needRollup\":\"NeedRollup\",\"fillMissingPointType\":\"CustomValue\",\"fillMissingPointValue\":555.0,\"rollUpMethod\":\"Sum\",\"rollUpColumns\":[],\"dataFeedDescription\":\"Data
+        feed description\",\"stopRetryAfterInSeconds\":-1,\"minRetryIntervalInSeconds\":-1,\"maxConcurrency\":-1,\"viewMode\":\"Private\",\"admins\":[\"kaghiya@microsoft.com\"],\"viewers\":[],\"creator\":\"kaghiya@microsoft.com\",\"status\":\"Active\",\"createdTime\":\"2020-11-10T01:07:45Z\",\"isAdmin\":true,\"actionLinkTemplate\":\"\",\"dataSourceParameter\":{\"apiKey\":\"connectionstring\",\"query\":\"let
+        gran=60m; let starttime=datetime(@StartTime); let endtime=starttime + gran;
+        requests |?where?timestamp?>=?starttime?and?timestamp?<?endtime |?summarize?request_count?=?count(),?duration_avg_ms?=?avg(duration),?duration_95th_ms?=?percentile(duration,?95),?duration_max_ms?=?max(duration)?by?resultCode\",\"azureCloud\":\"Azure\",\"applicationId\":\"3706fe8b-98f1-47c7-bf69-b73b6e53274d\"}},{\"dataFeedId\":\"94a55268-a300-4909-b25a-fadb446a0308\",\"dataFeedName\":\"js-test-appInsightsFeed-160496970249406144\",\"metrics\":[{\"metricId\":\"2c7aa84e-8caa-4715-bebc-fcfd80f68015\",\"metricName\":\"Metric1\",\"metricDisplayName\":\"Metric1\",\"metricDescription\":\"\"},{\"metricId\":\"b820536b-e92c-4a03-aeab-854710cb5277\",\"metricName\":\"Metric2\",\"metricDisplayName\":\"Metric2\",\"metricDescription\":\"\"}],\"dimension\":[{\"dimensionName\":\"Dim1\",\"dimensionDisplayName\":\"Dim1
+        display\"},{\"dimensionName\":\"Dim2\",\"dimensionDisplayName\":\"Dim2 display\"}],\"dataStartFrom\":\"2020-08-21T00:00:00Z\",\"dataSourceType\":\"AzureApplicationInsights\",\"timestampColumn\":\"\",\"startOffsetInSeconds\":0,\"maxQueryPerMinute\":30.0,\"granularityName\":\"Daily\",\"granularityAmount\":null,\"allUpIdentification\":\"__CUSTOM_SUM__\",\"needRollup\":\"NeedRollup\",\"fillMissingPointType\":\"CustomValue\",\"fillMissingPointValue\":555.0,\"rollUpMethod\":\"Sum\",\"rollUpColumns\":[],\"dataFeedDescription\":\"Data
+        feed description\",\"stopRetryAfterInSeconds\":-1,\"minRetryIntervalInSeconds\":-1,\"maxConcurrency\":-1,\"viewMode\":\"Private\",\"admins\":[\"kaghiya@microsoft.com\"],\"viewers\":[],\"creator\":\"kaghiya@microsoft.com\",\"status\":\"Active\",\"createdTime\":\"2020-11-10T00:57:07Z\",\"isAdmin\":true,\"actionLinkTemplate\":\"\",\"dataSourceParameter\":{\"apiKey\":\"connectionstring\",\"query\":\"let
+        gran=60m; let starttime=datetime(@StartTime); let endtime=starttime + gran;
+        requests |?where?timestamp?>=?starttime?and?timestamp?<?endtime |?summarize?request_count?=?count(),?duration_avg_ms?=?avg(duration),?duration_95th_ms?=?percentile(duration,?95),?duration_max_ms?=?max(duration)?by?resultCode\",\"azureCloud\":\"Azure\",\"applicationId\":\"3706fe8b-98f1-47c7-bf69-b73b6e53274d\"}},{\"dataFeedId\":\"b1e83213-bf36-4104-9116-ad62f445c3f6\",\"dataFeedName\":\"js-test-appInsightsFeed-160496963066701727\",\"metrics\":[{\"metricId\":\"4047a2c2-c936-4b25-9339-e485dd35565d\",\"metricName\":\"Metric1\",\"metricDisplayName\":\"Metric1\",\"metricDescription\":\"\"},{\"metricId\":\"f41f51c8-2e1e-4945-ad73-7d9f7b666341\",\"metricName\":\"Metric2\",\"metricDisplayName\":\"Metric2\",\"metricDescription\":\"\"}],\"dimension\":[{\"dimensionName\":\"Dim1\",\"dimensionDisplayName\":\"Dim1
+        display\"},{\"dimensionName\":\"Dim2\",\"dimensionDisplayName\":\"Dim2 display\"}],\"dataStartFrom\":\"2020-08-21T00:00:00Z\",\"dataSourceType\":\"AzureApplicationInsights\",\"timestampColumn\":\"\",\"startOffsetInSeconds\":0,\"maxQueryPerMinute\":30.0,\"granularityName\":\"Daily\",\"granularityAmount\":null,\"allUpIdentification\":\"__CUSTOM_SUM__\",\"needRollup\":\"NeedRollup\",\"fillMissingPointType\":\"CustomValue\",\"fillMissingPointValue\":555.0,\"rollUpMethod\":\"Sum\",\"rollUpColumns\":[],\"dataFeedDescription\":\"Data
+        feed description\",\"stopRetryAfterInSeconds\":-1,\"minRetryIntervalInSeconds\":-1,\"maxConcurrency\":-1,\"viewMode\":\"Private\",\"admins\":[\"kaghiya@microsoft.com\"],\"viewers\":[],\"creator\":\"kaghiya@microsoft.com\",\"status\":\"Active\",\"createdTime\":\"2020-11-10T00:53:52Z\",\"isAdmin\":true,\"actionLinkTemplate\":\"\",\"dataSourceParameter\":{\"apiKey\":\"connectionstring\",\"query\":\"let
+        gran=60m; let starttime=datetime(@StartTime); let endtime=starttime + gran;
+        requests |?where?timestamp?>=?starttime?and?timestamp?<?endtime |?summarize?request_count?=?count(),?duration_avg_ms?=?avg(duration),?duration_95th_ms?=?percentile(duration,?95),?duration_max_ms?=?max(duration)?by?resultCode\",\"azureCloud\":\"Azure\",\"applicationId\":\"3706fe8b-98f1-47c7-bf69-b73b6e53274d\"}},{\"dataFeedId\":\"d9bb5d8a-4ade-4b41-a912-a3f82ee93c14\",\"dataFeedName\":\"SqlServerDatafeed\",\"metrics\":[{\"metricId\":\"81582df6-0272-40bf-994d-eb497b74d13b\",\"metricName\":\"cost\",\"metricDisplayName\":\"cost\",\"metricDescription\":\"\"},{\"metricId\":\"507eaf33-3a65-4664-a7d6-5cdcc2dda6ff\",\"metricName\":\"revenue\",\"metricDisplayName\":\"revenue\",\"metricDescription\":\"\"}],\"dimension\":[{\"dimensionName\":\"category\",\"dimensionDisplayName\":\"category\"},{\"dimensionName\":\"city\",\"dimensionDisplayName\":\"city\"}],\"dataStartFrom\":\"2020-08-11T00:00:00Z\",\"dataSourceType\":\"SqlServer\",\"timestampColumn\":\"timestamp\",\"startOffsetInSeconds\":0,\"maxQueryPerMinute\":30.0,\"granularityName\":\"Daily\",\"granularityAmount\":null,\"allUpIdentification\":\"__SUM__\",\"needRollup\":\"NeedRollup\",\"fillMissingPointType\":\"SmartFilling\",\"fillMissingPointValue\":0.0,\"rollUpMethod\":\"Sum\",\"rollUpColumns\":[],\"dataFeedDescription\":\"\",\"stopRetryAfterInSeconds\":-1,\"minRetryIntervalInSeconds\":-1,\"maxConcurrency\":-1,\"viewMode\":\"Private\",\"admins\":[\"johanste@microsoft.com\",\"yumeng@microsoft.com\",\"xiangyan@microsoft.com\",\"savaity@microsoft.com\",\"anuchan@microsoft.com\",\"chriss@microsoft.com\",\"kaolsze@microsoft.com\",\"camaiaor@microsoft.com\",\"krpratic@microsoft.com\",\"elraikhm@microsoft.com\",\"kaghiya@microsoft.com\",\"mayurid@microsoft.com\"],\"viewers\":[],\"creator\":\"savaity@microsoft.com\",\"status\":\"Active\",\"createdTime\":\"2020-10-16T17:35:24Z\",\"isAdmin\":true,\"actionLinkTemplate\":\"\",\"dataSourceParameter\":{\"connectionString\":\"connectionstring;\",\"query\":\"select
+        * from adsample2 where Timestamp = @StartTime\"}},{\"dataFeedId\":\"b23b7c41-4c49-4ad6-a0b8-cbb91f11cd33\",\"dataFeedName\":\"BlobDataFeed\",\"metrics\":[{\"metricId\":\"27b31c03-7057-4322-bb44-4ab780251528\",\"metricName\":\"Metric1\",\"metricDisplayName\":\"Metric1\",\"metricDescription\":\"\"},{\"metricId\":\"1c957231-7597-4023-8dbb-7de182929e21\",\"metricName\":\"Metric2\",\"metricDisplayName\":\"Metric2\",\"metricDescription\":\"\"}],\"dimension\":[{\"dimensionName\":\"Dim1\",\"dimensionDisplayName\":\"Dim1\"},{\"dimensionName\":\"Dim2\",\"dimensionDisplayName\":\"Dim2\"}],\"dataStartFrom\":\"2020-08-09T00:00:00Z\",\"dataSourceType\":\"AzureBlob\",\"timestampColumn\":\"Timestamp\",\"startOffsetInSeconds\":0,\"maxQueryPerMinute\":30.0,\"granularityName\":\"Daily\",\"granularityAmount\":null,\"allUpIdentification\":null,\"needRollup\":\"NoRollup\",\"fillMissingPointType\":\"SmartFilling\",\"fillMissingPointValue\":0.0,\"rollUpMethod\":\"None\",\"rollUpColumns\":[],\"dataFeedDescription\":\"\",\"stopRetryAfterInSeconds\":-1,\"minRetryIntervalInSeconds\":-1,\"maxConcurrency\":-1,\"viewMode\":\"Private\",\"admins\":[\"kaghiya@microsoft.com\",\"savaity@microsoft.com\",\"krpratic@microsoft.com\",\"stevencl@microsoft.com\",\"mayurid@microsoft.com\",\"johanste@microsoft.com\",\"anuchan@microsoft.com\",\"xiangyan@microsoft.com\",\"chriss@microsoft.com\",\"camaiaor@microsoft.com\",\"kaolsze@microsoft.com\",\"yumeng@microsoft.com\",\"elraikhm@microsoft.com\"],\"viewers\":[],\"creator\":\"savaity@microsoft.com\",\"status\":\"Active\",\"createdTime\":\"2020-10-16T17:34:40Z\",\"isAdmin\":true,\"actionLinkTemplate\":\"\",\"dataSourceParameter\":{\"container\":\"adsample\",\"connectionString\":\"connectionstring\",\"blobTemplate\":\"%Y/%m/%d/%h/JsonFormatV2.json\",\"jsonFormatVersion\":\"V2\"}},{\"dataFeedId\":\"data_feed_id\",\"dataFeedName\":\"azsqlDatafeed\",\"metrics\":[{\"metricId\":\"metric_id\",\"metricName\":\"cost\",\"metricDisplayName\":\"cost\",\"metricDescription\":\"\"},{\"metricId\":\"a98a72e6-18ab-4dab-bac4-3db605691bca\",\"metricName\":\"revenue\",\"metricDisplayName\":\"revenue\",\"metricDescription\":\"\"}],\"dimension\":[{\"dimensionName\":\"category\",\"dimensionDisplayName\":\"category\"},{\"dimensionName\":\"city\",\"dimensionDisplayName\":\"city\"}],\"dataStartFrom\":\"2020-08-30T00:00:00Z\",\"dataSourceType\":\"SqlServer\",\"timestampColumn\":\"timestamp\",\"startOffsetInSeconds\":0,\"maxQueryPerMinute\":30.0,\"granularityName\":\"Daily\",\"granularityAmount\":null,\"allUpIdentification\":\"__SUM__\",\"needRollup\":\"NeedRollup\",\"fillMissingPointType\":\"SmartFilling\",\"fillMissingPointValue\":0.0,\"rollUpMethod\":\"Sum\",\"rollUpColumns\":[],\"dataFeedDescription\":\"\",\"stopRetryAfterInSeconds\":-1,\"minRetryIntervalInSeconds\":-1,\"maxConcurrency\":-1,\"viewMode\":\"Private\",\"admins\":[\"elraikhm@microsoft.com\",\"savaity@microsoft.com\",\"xiangyan@microsoft.com\",\"kaghiya@microsoft.com\",\"camaiaor@microsoft.com\",\"chriss@microsoft.com\",\"yumeng@microsoft.com\",\"krpratic@microsoft.com\",\"anuchan@microsoft.com\"],\"viewers\":[],\"creator\":\"kaghiya@microsoft.com\",\"status\":\"Active\",\"createdTime\":\"2020-10-05T18:56:43Z\",\"isAdmin\":true,\"actionLinkTemplate\":\"\",\"dataSourceParameter\":{\"connectionString\":\"connectionstring;\",\"query\":\"select
+        * from adsample2 where Timestamp = @StartTime\"}},{\"dataFeedId\":\"a4030af9-4419-4d3a-a2cc-49022cf54914\",\"dataFeedName\":\"testDataFeed1\",\"metrics\":[{\"metricId\":\"efa9adb3-7342-494b-a6f1-427021e75ad6\",\"metricName\":\"Metric1\",\"metricDisplayName\":\"Metric1\",\"metricDescription\":\"\"},{\"metricId\":\"a1948021-0002-4c37-be71-eaaa29f1e2e7\",\"metricName\":\"Metric2\",\"metricDisplayName\":\"Metric2\",\"metricDescription\":\"\"}],\"dimension\":[{\"dimensionName\":\"Dim1\",\"dimensionDisplayName\":\"Dim1\"},{\"dimensionName\":\"Dim2\",\"dimensionDisplayName\":\"Dim2\"}],\"dataStartFrom\":\"2020-01-01T00:00:00Z\",\"dataSourceType\":\"AzureBlob\",\"timestampColumn\":\"Timestamp\",\"startOffsetInSeconds\":0,\"maxQueryPerMinute\":30.0,\"granularityName\":\"Daily\",\"granularityAmount\":null,\"allUpIdentification\":\"__SUM__\",\"needRollup\":\"NeedRollup\",\"fillMissingPointType\":\"SmartFilling\",\"fillMissingPointValue\":0.0,\"rollUpMethod\":\"Sum\",\"rollUpColumns\":[],\"dataFeedDescription\":\"\",\"stopRetryAfterInSeconds\":-1,\"minRetryIntervalInSeconds\":-1,\"maxConcurrency\":-1,\"viewMode\":\"Private\",\"admins\":[\"camaiaor@microsoft.com\",\"chriss@microsoft.com\",\"anuchan@microsoft.com\",\"kaghiya@microsoft.com\",\"xiangyan@microsoft.com\",\"krpratic@microsoft.com\",\"yumeng@microsoft.com\",\"savaity@microsoft.com\"],\"viewers\":[],\"creator\":\"kaghiya@microsoft.com\",\"status\":\"Active\",\"createdTime\":\"2020-10-02T19:20:53Z\",\"isAdmin\":true,\"actionLinkTemplate\":\"\",\"dataSourceParameter\":{\"container\":\"adsample\",\"connectionString\":\"connectionstring\",\"blobTemplate\":\"%Y/%m/%d/%h/JsonFormatV2.json\",\"jsonFormatVersion\":\"v2\"}}],\"@nextLink\":null}"
+    headers:
+      apim-request-id: b890eedc-0176-47c5-9366-b34669f70523
+      content-length: '18905'
+      content-type: application/json; charset=utf-8
+      date: Sat, 26 Dec 2020 19:38:24 GMT
+      strict-transport-security: max-age=31536000; includeSubDomains; preload
+      x-content-type-options: nosniff
+      x-envoy-upstream-service-time: '97'
+      x-request-id: b890eedc-0176-47c5-9366-b34669f70523
+    status:
+      code: 200
+      message: OK
+    url: https://js-metrics-advisor.cognitiveservices.azure.com//metricsadvisor/v1.0/dataFeeds
+version: 1
diff --git a/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/async_tests/recordings/test_data_feeds_aad_async.test_list_data_feeds_with_data_feed_name.yaml b/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/async_tests/recordings/test_data_feeds_aad_async.test_list_data_feeds_with_data_feed_name.yaml
new file mode 100644
index 000000000000..aa134ff7dc0e
--- /dev/null
+++ b/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/async_tests/recordings/test_data_feeds_aad_async.test_list_data_feeds_with_data_feed_name.yaml
@@ -0,0 +1,28 @@
+interactions:
+- request:
+    body: null
+    headers:
+      Accept:
+      - application/json
+      User-Agent:
+      - azsdk-python-ai-metricsadvisor/1.0.0b3 Python/3.8.6 (Windows-10-10.0.19041-SP0)
+    method: GET
+    uri: https://js-metrics-advisor.cognitiveservices.azure.com/metricsadvisor/v1.0/dataFeeds?dataFeedName=azsqlDatafeed
+  response:
+    body:
+      string: '{"value":[{"dataFeedId":"data_feed_id","dataFeedName":"azsqlDatafeed","metrics":[{"metricId":"metric_id","metricName":"cost","metricDisplayName":"cost","metricDescription":""},{"metricId":"a98a72e6-18ab-4dab-bac4-3db605691bca","metricName":"revenue","metricDisplayName":"revenue","metricDescription":""}],"dimension":[{"dimensionName":"category","dimensionDisplayName":"category"},{"dimensionName":"city","dimensionDisplayName":"city"}],"dataStartFrom":"2020-08-30T00:00:00Z","dataSourceType":"SqlServer","timestampColumn":"timestamp","startOffsetInSeconds":0,"maxQueryPerMinute":30.0,"granularityName":"Daily","granularityAmount":null,"allUpIdentification":"__SUM__","needRollup":"NeedRollup","fillMissingPointType":"SmartFilling","fillMissingPointValue":0.0,"rollUpMethod":"Sum","rollUpColumns":[],"dataFeedDescription":"","stopRetryAfterInSeconds":-1,"minRetryIntervalInSeconds":-1,"maxConcurrency":-1,"viewMode":"Private","admins":["elraikhm@microsoft.com","savaity@microsoft.com","xiangyan@microsoft.com","kaghiya@microsoft.com","camaiaor@microsoft.com","anuchan@microsoft.com","chriss@microsoft.com","yumeng@microsoft.com","krpratic@microsoft.com"],"viewers":[],"creator":"kaghiya@microsoft.com","status":"Active","createdTime":"2020-10-05T18:56:43Z","isAdmin":true,"actionLinkTemplate":"","dataSourceParameter":{"connectionString":"connectionstring;","query":"select
+        * from adsample2 where Timestamp = @StartTime"}}],"@nextLink":null}'
+    headers:
+      apim-request-id: 7a7238f6-3f70-4907-b9d6-630677aeb30d
+      content-length: '1708'
+      content-type: application/json; charset=utf-8
+      date: Sat, 26 Dec 2020 19:38:24 GMT
+      strict-transport-security: max-age=31536000; includeSubDomains; preload
+      x-content-type-options: nosniff
+      x-envoy-upstream-service-time: '83'
+      x-request-id: 7a7238f6-3f70-4907-b9d6-630677aeb30d
+    status:
+      code: 200
+      message: OK
+    url: https://js-metrics-advisor.cognitiveservices.azure.com//metricsadvisor/v1.0/dataFeeds?dataFeedName=azsqlDatafeed
+version: 1
diff --git a/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/async_tests/recordings/test_data_feeds_aad_async.test_list_data_feeds_with_granularity_type.yaml b/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/async_tests/recordings/test_data_feeds_aad_async.test_list_data_feeds_with_granularity_type.yaml
new file mode 100644
index 000000000000..700a1f137797
--- /dev/null
+++ b/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/async_tests/recordings/test_data_feeds_aad_async.test_list_data_feeds_with_granularity_type.yaml
@@ -0,0 +1,57 @@
+interactions:
+- request:
+    body: null
+    headers:
+      Accept:
+      - application/json
+      User-Agent:
+      - azsdk-python-ai-metricsadvisor/1.0.0b3 Python/3.8.6 (Windows-10-10.0.19041-SP0)
+    method: GET
+    uri: https://js-metrics-advisor.cognitiveservices.azure.com/metricsadvisor/v1.0/dataFeeds?granularityName=Daily
+  response:
+    body:
+      string: "{\"value\":[{\"dataFeedId\":\"0878ef33-d3c0-4868-a556-c0287d971180\",\"dataFeedName\":\"updatehlgw2i4smv3ngmdqej\",\"metrics\":[{\"metricId\":\"97adb289-7ce7-41a8-a476-bc6131de2e00\",\"metricName\":\"cost\",\"metricDisplayName\":\"display
+        cost\",\"metricDescription\":\"the cost\"},{\"metricId\":\"eecc41f9-518e-4186-bb6b-b18ee53c7ecf\",\"metricName\":\"revenue\",\"metricDisplayName\":\"display
+        revenue\",\"metricDescription\":\"the revenue\"}],\"dimension\":[{\"dimensionName\":\"category\",\"dimensionDisplayName\":\"display
+        category\"},{\"dimensionName\":\"city\",\"dimensionDisplayName\":\"display
+        city\"}],\"dataStartFrom\":\"2019-10-01T00:00:00Z\",\"dataSourceType\":\"SqlServer\",\"timestampColumn\":\"Timestamp\",\"startOffsetInSeconds\":-1,\"maxQueryPerMinute\":30.0,\"granularityName\":\"Daily\",\"granularityAmount\":null,\"allUpIdentification\":null,\"needRollup\":\"NoRollup\",\"fillMissingPointType\":\"SmartFilling\",\"fillMissingPointValue\":0.0,\"rollUpMethod\":\"None\",\"rollUpColumns\":[],\"dataFeedDescription\":\"my
+        first data feed\",\"stopRetryAfterInSeconds\":-1,\"minRetryIntervalInSeconds\":-1,\"maxConcurrency\":0,\"viewMode\":\"Private\",\"admins\":[\"yournamehere@microsoft.com\",\"f850650c-1fcf-4489-b46f-71af2e30d360\"],\"viewers\":[\"viewers\"],\"creator\":\"f850650c-1fcf-4489-b46f-71af2e30d360\",\"status\":\"Active\",\"createdTime\":\"2020-12-26T19:11:43Z\",\"isAdmin\":true,\"actionLinkTemplate\":\"action
+        link template\",\"dataSourceParameter\":{\"connectionString\":\"connectionstring\",\"query\":\"select\u202F*\u202Ffrom\u202Fadsample2\u202Fwhere\u202FTimestamp\u202F=\u202F@StartTime\"}},{\"dataFeedId\":\"bd1533c3-b9a4-44f1-9a49-59d3ea4f5f4d\",\"dataFeedName\":\"js-test-appInsightsFeed-160530608834108103\",\"metrics\":[{\"metricId\":\"c5ed1cbf-6f8b-4c63-83f9-8fdbeb3099c3\",\"metricName\":\"cost\",\"metricDisplayName\":\"cost\",\"metricDescription\":\"\"},{\"metricId\":\"cd69f758-a534-458e-96b9-2ed9c798476a\",\"metricName\":\"revenue\",\"metricDisplayName\":\"revenue\",\"metricDescription\":\"\"}],\"dimension\":[{\"dimensionName\":\"category\",\"dimensionDisplayName\":\"category\"},{\"dimensionName\":\"city\",\"dimensionDisplayName\":\"city\"}],\"dataStartFrom\":\"2020-08-21T00:00:00Z\",\"dataSourceType\":\"AzureApplicationInsights\",\"timestampColumn\":\"\",\"startOffsetInSeconds\":0,\"maxQueryPerMinute\":30.0,\"granularityName\":\"Daily\",\"granularityAmount\":null,\"allUpIdentification\":\"__CUSTOM_SUM__\",\"needRollup\":\"NeedRollup\",\"fillMissingPointType\":\"CustomValue\",\"fillMissingPointValue\":555.0,\"rollUpMethod\":\"Sum\",\"rollUpColumns\":[],\"dataFeedDescription\":\"Data
+        feed description\",\"stopRetryAfterInSeconds\":-1,\"minRetryIntervalInSeconds\":-1,\"maxConcurrency\":-1,\"viewMode\":\"Private\",\"admins\":[\"kaghiya@microsoft.com\"],\"viewers\":[],\"creator\":\"kaghiya@microsoft.com\",\"status\":\"Active\",\"createdTime\":\"2020-11-13T22:21:31Z\",\"isAdmin\":true,\"actionLinkTemplate\":\"\",\"dataSourceParameter\":{\"apiKey\":\"connectionstring\",\"query\":\"let
+        gran=60m; let starttime=datetime(@StartTime); let endtime=starttime + gran;
+        requests |?where?timestamp?>=?starttime?and?timestamp?<?endtime |?summarize?request_count?=?count(),?duration_avg_ms?=?avg(duration),?duration_95th_ms?=?percentile(duration,?95),?duration_max_ms?=?max(duration)?by?resultCode\",\"azureCloud\":\"Azure\",\"applicationId\":\"3706fe8b-98f1-47c7-bf69-b73b6e53274d\"}},{\"dataFeedId\":\"2169ef15-ae74-4fe6-bce1-1bb7c58217a4\",\"dataFeedName\":\"js-test-appInsightsFeed-160530606466100954\",\"metrics\":[{\"metricId\":\"be0316fc-9106-4d02-b1b7-2248614ce8ff\",\"metricName\":\"cost\",\"metricDisplayName\":\"cost\",\"metricDescription\":\"\"},{\"metricId\":\"465c2be4-3a00-4178-a6a9-41fcb4432cf4\",\"metricName\":\"revenue\",\"metricDisplayName\":\"revenue\",\"metricDescription\":\"\"}],\"dimension\":[{\"dimensionName\":\"category\",\"dimensionDisplayName\":\"category\"},{\"dimensionName\":\"city\",\"dimensionDisplayName\":\"city\"}],\"dataStartFrom\":\"2020-08-21T00:00:00Z\",\"dataSourceType\":\"AzureApplicationInsights\",\"timestampColumn\":\"\",\"startOffsetInSeconds\":0,\"maxQueryPerMinute\":30.0,\"granularityName\":\"Daily\",\"granularityAmount\":null,\"allUpIdentification\":\"__CUSTOM_SUM__\",\"needRollup\":\"NeedRollup\",\"fillMissingPointType\":\"CustomValue\",\"fillMissingPointValue\":555.0,\"rollUpMethod\":\"Sum\",\"rollUpColumns\":[],\"dataFeedDescription\":\"Data
+        feed description\",\"stopRetryAfterInSeconds\":-1,\"minRetryIntervalInSeconds\":-1,\"maxConcurrency\":-1,\"viewMode\":\"Private\",\"admins\":[\"kaghiya@microsoft.com\"],\"viewers\":[],\"creator\":\"kaghiya@microsoft.com\",\"status\":\"Active\",\"createdTime\":\"2020-11-13T22:21:10Z\",\"isAdmin\":true,\"actionLinkTemplate\":\"\",\"dataSourceParameter\":{\"apiKey\":\"connectionstring\",\"query\":\"let
+        gran=60m; let starttime=datetime(@StartTime); let endtime=starttime + gran;
+        requests |?where?timestamp?>=?starttime?and?timestamp?<?endtime |?summarize?request_count?=?count(),?duration_avg_ms?=?avg(duration),?duration_95th_ms?=?percentile(duration,?95),?duration_max_ms?=?max(duration)?by?resultCode\",\"azureCloud\":\"Azure\",\"applicationId\":\"3706fe8b-98f1-47c7-bf69-b73b6e53274d\"}},{\"dataFeedId\":\"9d85a33d-7de0-411d-aa0f-f1940b7973b6\",\"dataFeedName\":\"test_datafeed_1605050124034\",\"metrics\":[{\"metricId\":\"49205ee4-255c-4c4e-8d8d-d94b87896ff9\",\"metricName\":\"cost\",\"metricDisplayName\":\"cost\",\"metricDescription\":\"Metric2
+        description\"},{\"metricId\":\"590d7610-ae2a-41ab-8504-c509e724afc5\",\"metricName\":\"revenue\",\"metricDisplayName\":\"revenue\",\"metricDescription\":\"Metric1
+        description\"}],\"dimension\":[{\"dimensionName\":\"category\",\"dimensionDisplayName\":\"category
+        display\"},{\"dimensionName\":\"city\",\"dimensionDisplayName\":\"city display\"}],\"dataStartFrom\":\"2020-06-01T00:00:00Z\",\"dataSourceType\":\"SqlServer\",\"timestampColumn\":\"\",\"startOffsetInSeconds\":0,\"maxQueryPerMinute\":30.0,\"granularityName\":\"Daily\",\"granularityAmount\":null,\"allUpIdentification\":\"__CUSTOM_SUM__\",\"needRollup\":\"NeedRollup\",\"fillMissingPointType\":\"SmartFilling\",\"fillMissingPointValue\":0.0,\"rollUpMethod\":\"Sum\",\"rollUpColumns\":[],\"dataFeedDescription\":\"\",\"stopRetryAfterInSeconds\":-1,\"minRetryIntervalInSeconds\":-1,\"maxConcurrency\":-1,\"viewMode\":\"Private\",\"admins\":[\"kaghiya@microsoft.com\",\"xyz@example.com\"],\"viewers\":[],\"creator\":\"kaghiya@microsoft.com\",\"status\":\"Active\",\"createdTime\":\"2020-11-10T23:15:25Z\",\"isAdmin\":true,\"actionLinkTemplate\":\"\",\"dataSourceParameter\":{\"connectionString\":\"connectionstring;\",\"query\":\"select
+        * from adsample2 where Timestamp = @StartTime\"}},{\"dataFeedId\":\"7b9edf98-78b6-4ddd-b44a-2bac83cae6b3\",\"dataFeedName\":\"js-test-appInsightsFeed-160497041382000529\",\"metrics\":[{\"metricId\":\"988eb02a-f67b-4200-b96e-48250890a621\",\"metricName\":\"Metric1\",\"metricDisplayName\":\"Metric1\",\"metricDescription\":\"\"},{\"metricId\":\"b51dbae1-009c-4fae-a24b-32cae2822706\",\"metricName\":\"Metric2\",\"metricDisplayName\":\"Metric2\",\"metricDescription\":\"\"}],\"dimension\":[{\"dimensionName\":\"Dim1\",\"dimensionDisplayName\":\"Dim1
+        display\"},{\"dimensionName\":\"Dim2\",\"dimensionDisplayName\":\"Dim2 display\"}],\"dataStartFrom\":\"2020-08-21T00:00:00Z\",\"dataSourceType\":\"AzureApplicationInsights\",\"timestampColumn\":\"\",\"startOffsetInSeconds\":0,\"maxQueryPerMinute\":30.0,\"granularityName\":\"Daily\",\"granularityAmount\":null,\"allUpIdentification\":\"__CUSTOM_SUM__\",\"needRollup\":\"NeedRollup\",\"fillMissingPointType\":\"CustomValue\",\"fillMissingPointValue\":555.0,\"rollUpMethod\":\"Sum\",\"rollUpColumns\":[],\"dataFeedDescription\":\"Data
+        feed description\",\"stopRetryAfterInSeconds\":-1,\"minRetryIntervalInSeconds\":-1,\"maxConcurrency\":-1,\"viewMode\":\"Private\",\"admins\":[\"kaghiya@microsoft.com\"],\"viewers\":[],\"creator\":\"kaghiya@microsoft.com\",\"status\":\"Active\",\"createdTime\":\"2020-11-10T01:07:45Z\",\"isAdmin\":true,\"actionLinkTemplate\":\"\",\"dataSourceParameter\":{\"apiKey\":\"connectionstring\",\"query\":\"let
+        gran=60m; let starttime=datetime(@StartTime); let endtime=starttime + gran;
+        requests |?where?timestamp?>=?starttime?and?timestamp?<?endtime |?summarize?request_count?=?count(),?duration_avg_ms?=?avg(duration),?duration_95th_ms?=?percentile(duration,?95),?duration_max_ms?=?max(duration)?by?resultCode\",\"azureCloud\":\"Azure\",\"applicationId\":\"3706fe8b-98f1-47c7-bf69-b73b6e53274d\"}},{\"dataFeedId\":\"94a55268-a300-4909-b25a-fadb446a0308\",\"dataFeedName\":\"js-test-appInsightsFeed-160496970249406144\",\"metrics\":[{\"metricId\":\"2c7aa84e-8caa-4715-bebc-fcfd80f68015\",\"metricName\":\"Metric1\",\"metricDisplayName\":\"Metric1\",\"metricDescription\":\"\"},{\"metricId\":\"b820536b-e92c-4a03-aeab-854710cb5277\",\"metricName\":\"Metric2\",\"metricDisplayName\":\"Metric2\",\"metricDescription\":\"\"}],\"dimension\":[{\"dimensionName\":\"Dim1\",\"dimensionDisplayName\":\"Dim1
+        display\"},{\"dimensionName\":\"Dim2\",\"dimensionDisplayName\":\"Dim2 display\"}],\"dataStartFrom\":\"2020-08-21T00:00:00Z\",\"dataSourceType\":\"AzureApplicationInsights\",\"timestampColumn\":\"\",\"startOffsetInSeconds\":0,\"maxQueryPerMinute\":30.0,\"granularityName\":\"Daily\",\"granularityAmount\":null,\"allUpIdentification\":\"__CUSTOM_SUM__\",\"needRollup\":\"NeedRollup\",\"fillMissingPointType\":\"CustomValue\",\"fillMissingPointValue\":555.0,\"rollUpMethod\":\"Sum\",\"rollUpColumns\":[],\"dataFeedDescription\":\"Data
+        feed description\",\"stopRetryAfterInSeconds\":-1,\"minRetryIntervalInSeconds\":-1,\"maxConcurrency\":-1,\"viewMode\":\"Private\",\"admins\":[\"kaghiya@microsoft.com\"],\"viewers\":[],\"creator\":\"kaghiya@microsoft.com\",\"status\":\"Active\",\"createdTime\":\"2020-11-10T00:57:07Z\",\"isAdmin\":true,\"actionLinkTemplate\":\"\",\"dataSourceParameter\":{\"apiKey\":\"connectionstring\",\"query\":\"let
+        gran=60m; let starttime=datetime(@StartTime); let endtime=starttime + gran;
+        requests |?where?timestamp?>=?starttime?and?timestamp?<?endtime |?summarize?request_count?=?count(),?duration_avg_ms?=?avg(duration),?duration_95th_ms?=?percentile(duration,?95),?duration_max_ms?=?max(duration)?by?resultCode\",\"azureCloud\":\"Azure\",\"applicationId\":\"3706fe8b-98f1-47c7-bf69-b73b6e53274d\"}},{\"dataFeedId\":\"b1e83213-bf36-4104-9116-ad62f445c3f6\",\"dataFeedName\":\"js-test-appInsightsFeed-160496963066701727\",\"metrics\":[{\"metricId\":\"4047a2c2-c936-4b25-9339-e485dd35565d\",\"metricName\":\"Metric1\",\"metricDisplayName\":\"Metric1\",\"metricDescription\":\"\"},{\"metricId\":\"f41f51c8-2e1e-4945-ad73-7d9f7b666341\",\"metricName\":\"Metric2\",\"metricDisplayName\":\"Metric2\",\"metricDescription\":\"\"}],\"dimension\":[{\"dimensionName\":\"Dim1\",\"dimensionDisplayName\":\"Dim1
+        display\"},{\"dimensionName\":\"Dim2\",\"dimensionDisplayName\":\"Dim2 display\"}],\"dataStartFrom\":\"2020-08-21T00:00:00Z\",\"dataSourceType\":\"AzureApplicationInsights\",\"timestampColumn\":\"\",\"startOffsetInSeconds\":0,\"maxQueryPerMinute\":30.0,\"granularityName\":\"Daily\",\"granularityAmount\":null,\"allUpIdentification\":\"__CUSTOM_SUM__\",\"needRollup\":\"NeedRollup\",\"fillMissingPointType\":\"CustomValue\",\"fillMissingPointValue\":555.0,\"rollUpMethod\":\"Sum\",\"rollUpColumns\":[],\"dataFeedDescription\":\"Data
+        feed description\",\"stopRetryAfterInSeconds\":-1,\"minRetryIntervalInSeconds\":-1,\"maxConcurrency\":-1,\"viewMode\":\"Private\",\"admins\":[\"kaghiya@microsoft.com\"],\"viewers\":[],\"creator\":\"kaghiya@microsoft.com\",\"status\":\"Active\",\"createdTime\":\"2020-11-10T00:53:52Z\",\"isAdmin\":true,\"actionLinkTemplate\":\"\",\"dataSourceParameter\":{\"apiKey\":\"connectionstring\",\"query\":\"let
+        gran=60m; let starttime=datetime(@StartTime); let endtime=starttime + gran;
+        requests |?where?timestamp?>=?starttime?and?timestamp?<?endtime |?summarize?request_count?=?count(),?duration_avg_ms?=?avg(duration),?duration_95th_ms?=?percentile(duration,?95),?duration_max_ms?=?max(duration)?by?resultCode\",\"azureCloud\":\"Azure\",\"applicationId\":\"3706fe8b-98f1-47c7-bf69-b73b6e53274d\"}},{\"dataFeedId\":\"d9bb5d8a-4ade-4b41-a912-a3f82ee93c14\",\"dataFeedName\":\"SqlServerDatafeed\",\"metrics\":[{\"metricId\":\"81582df6-0272-40bf-994d-eb497b74d13b\",\"metricName\":\"cost\",\"metricDisplayName\":\"cost\",\"metricDescription\":\"\"},{\"metricId\":\"507eaf33-3a65-4664-a7d6-5cdcc2dda6ff\",\"metricName\":\"revenue\",\"metricDisplayName\":\"revenue\",\"metricDescription\":\"\"}],\"dimension\":[{\"dimensionName\":\"category\",\"dimensionDisplayName\":\"category\"},{\"dimensionName\":\"city\",\"dimensionDisplayName\":\"city\"}],\"dataStartFrom\":\"2020-08-11T00:00:00Z\",\"dataSourceType\":\"SqlServer\",\"timestampColumn\":\"timestamp\",\"startOffsetInSeconds\":0,\"maxQueryPerMinute\":30.0,\"granularityName\":\"Daily\",\"granularityAmount\":null,\"allUpIdentification\":\"__SUM__\",\"needRollup\":\"NeedRollup\",\"fillMissingPointType\":\"SmartFilling\",\"fillMissingPointValue\":0.0,\"rollUpMethod\":\"Sum\",\"rollUpColumns\":[],\"dataFeedDescription\":\"\",\"stopRetryAfterInSeconds\":-1,\"minRetryIntervalInSeconds\":-1,\"maxConcurrency\":-1,\"viewMode\":\"Private\",\"admins\":[\"johanste@microsoft.com\",\"yumeng@microsoft.com\",\"xiangyan@microsoft.com\",\"savaity@microsoft.com\",\"anuchan@microsoft.com\",\"chriss@microsoft.com\",\"kaolsze@microsoft.com\",\"camaiaor@microsoft.com\",\"krpratic@microsoft.com\",\"elraikhm@microsoft.com\",\"kaghiya@microsoft.com\",\"mayurid@microsoft.com\"],\"viewers\":[],\"creator\":\"savaity@microsoft.com\",\"status\":\"Active\",\"createdTime\":\"2020-10-16T17:35:24Z\",\"isAdmin\":true,\"actionLinkTemplate\":\"\",\"dataSourceParameter\":{\"connectionString\":\"connectionstring;\",\"query\":\"select
+        * from adsample2 where Timestamp = @StartTime\"}},{\"dataFeedId\":\"b23b7c41-4c49-4ad6-a0b8-cbb91f11cd33\",\"dataFeedName\":\"BlobDataFeed\",\"metrics\":[{\"metricId\":\"27b31c03-7057-4322-bb44-4ab780251528\",\"metricName\":\"Metric1\",\"metricDisplayName\":\"Metric1\",\"metricDescription\":\"\"},{\"metricId\":\"1c957231-7597-4023-8dbb-7de182929e21\",\"metricName\":\"Metric2\",\"metricDisplayName\":\"Metric2\",\"metricDescription\":\"\"}],\"dimension\":[{\"dimensionName\":\"Dim1\",\"dimensionDisplayName\":\"Dim1\"},{\"dimensionName\":\"Dim2\",\"dimensionDisplayName\":\"Dim2\"}],\"dataStartFrom\":\"2020-08-09T00:00:00Z\",\"dataSourceType\":\"AzureBlob\",\"timestampColumn\":\"Timestamp\",\"startOffsetInSeconds\":0,\"maxQueryPerMinute\":30.0,\"granularityName\":\"Daily\",\"granularityAmount\":null,\"allUpIdentification\":null,\"needRollup\":\"NoRollup\",\"fillMissingPointType\":\"SmartFilling\",\"fillMissingPointValue\":0.0,\"rollUpMethod\":\"None\",\"rollUpColumns\":[],\"dataFeedDescription\":\"\",\"stopRetryAfterInSeconds\":-1,\"minRetryIntervalInSeconds\":-1,\"maxConcurrency\":-1,\"viewMode\":\"Private\",\"admins\":[\"kaghiya@microsoft.com\",\"savaity@microsoft.com\",\"krpratic@microsoft.com\",\"stevencl@microsoft.com\",\"mayurid@microsoft.com\",\"johanste@microsoft.com\",\"anuchan@microsoft.com\",\"xiangyan@microsoft.com\",\"chriss@microsoft.com\",\"camaiaor@microsoft.com\",\"kaolsze@microsoft.com\",\"yumeng@microsoft.com\",\"elraikhm@microsoft.com\"],\"viewers\":[],\"creator\":\"savaity@microsoft.com\",\"status\":\"Active\",\"createdTime\":\"2020-10-16T17:34:40Z\",\"isAdmin\":true,\"actionLinkTemplate\":\"\",\"dataSourceParameter\":{\"container\":\"adsample\",\"connectionString\":\"connectionstring\",\"blobTemplate\":\"%Y/%m/%d/%h/JsonFormatV2.json\",\"jsonFormatVersion\":\"V2\"}},{\"dataFeedId\":\"data_feed_id\",\"dataFeedName\":\"azsqlDatafeed\",\"metrics\":[{\"metricId\":\"metric_id\",\"metricName\":\"cost\",\"metricDisplayName\":\"cost\",\"metricDescription\":\"\"},{\"metricId\":\"a98a72e6-18ab-4dab-bac4-3db605691bca\",\"metricName\":\"revenue\",\"metricDisplayName\":\"revenue\",\"metricDescription\":\"\"}],\"dimension\":[{\"dimensionName\":\"category\",\"dimensionDisplayName\":\"category\"},{\"dimensionName\":\"city\",\"dimensionDisplayName\":\"city\"}],\"dataStartFrom\":\"2020-08-30T00:00:00Z\",\"dataSourceType\":\"SqlServer\",\"timestampColumn\":\"timestamp\",\"startOffsetInSeconds\":0,\"maxQueryPerMinute\":30.0,\"granularityName\":\"Daily\",\"granularityAmount\":null,\"allUpIdentification\":\"__SUM__\",\"needRollup\":\"NeedRollup\",\"fillMissingPointType\":\"SmartFilling\",\"fillMissingPointValue\":0.0,\"rollUpMethod\":\"Sum\",\"rollUpColumns\":[],\"dataFeedDescription\":\"\",\"stopRetryAfterInSeconds\":-1,\"minRetryIntervalInSeconds\":-1,\"maxConcurrency\":-1,\"viewMode\":\"Private\",\"admins\":[\"elraikhm@microsoft.com\",\"savaity@microsoft.com\",\"xiangyan@microsoft.com\",\"kaghiya@microsoft.com\",\"camaiaor@microsoft.com\",\"chriss@microsoft.com\",\"yumeng@microsoft.com\",\"krpratic@microsoft.com\",\"anuchan@microsoft.com\"],\"viewers\":[],\"creator\":\"kaghiya@microsoft.com\",\"status\":\"Active\",\"createdTime\":\"2020-10-05T18:56:43Z\",\"isAdmin\":true,\"actionLinkTemplate\":\"\",\"dataSourceParameter\":{\"connectionString\":\"connectionstring;\",\"query\":\"select
+        * from adsample2 where Timestamp = @StartTime\"}},{\"dataFeedId\":\"a4030af9-4419-4d3a-a2cc-49022cf54914\",\"dataFeedName\":\"testDataFeed1\",\"metrics\":[{\"metricId\":\"efa9adb3-7342-494b-a6f1-427021e75ad6\",\"metricName\":\"Metric1\",\"metricDisplayName\":\"Metric1\",\"metricDescription\":\"\"},{\"metricId\":\"a1948021-0002-4c37-be71-eaaa29f1e2e7\",\"metricName\":\"Metric2\",\"metricDisplayName\":\"Metric2\",\"metricDescription\":\"\"}],\"dimension\":[{\"dimensionName\":\"Dim1\",\"dimensionDisplayName\":\"Dim1\"},{\"dimensionName\":\"Dim2\",\"dimensionDisplayName\":\"Dim2\"}],\"dataStartFrom\":\"2020-01-01T00:00:00Z\",\"dataSourceType\":\"AzureBlob\",\"timestampColumn\":\"Timestamp\",\"startOffsetInSeconds\":0,\"maxQueryPerMinute\":30.0,\"granularityName\":\"Daily\",\"granularityAmount\":null,\"allUpIdentification\":\"__SUM__\",\"needRollup\":\"NeedRollup\",\"fillMissingPointType\":\"SmartFilling\",\"fillMissingPointValue\":0.0,\"rollUpMethod\":\"Sum\",\"rollUpColumns\":[],\"dataFeedDescription\":\"\",\"stopRetryAfterInSeconds\":-1,\"minRetryIntervalInSeconds\":-1,\"maxConcurrency\":-1,\"viewMode\":\"Private\",\"admins\":[\"camaiaor@microsoft.com\",\"chriss@microsoft.com\",\"anuchan@microsoft.com\",\"kaghiya@microsoft.com\",\"xiangyan@microsoft.com\",\"krpratic@microsoft.com\",\"yumeng@microsoft.com\",\"savaity@microsoft.com\"],\"viewers\":[],\"creator\":\"kaghiya@microsoft.com\",\"status\":\"Active\",\"createdTime\":\"2020-10-02T19:20:53Z\",\"isAdmin\":true,\"actionLinkTemplate\":\"\",\"dataSourceParameter\":{\"container\":\"adsample\",\"connectionString\":\"connectionstring\",\"blobTemplate\":\"%Y/%m/%d/%h/JsonFormatV2.json\",\"jsonFormatVersion\":\"v2\"}}],\"@nextLink\":null}"
+    headers:
+      apim-request-id: ae91f77b-ccbd-4fc5-9cb4-ec1734b31a23
+      content-length: '18905'
+      content-type: application/json; charset=utf-8
+      date: Sat, 26 Dec 2020 19:38:24 GMT
+      strict-transport-security: max-age=31536000; includeSubDomains; preload
+      x-content-type-options: nosniff
+      x-envoy-upstream-service-time: '95'
+      x-request-id: ae91f77b-ccbd-4fc5-9cb4-ec1734b31a23
+    status:
+      code: 200
+      message: OK
+    url: https://js-metrics-advisor.cognitiveservices.azure.com//metricsadvisor/v1.0/dataFeeds?granularityName=Daily
+version: 1
diff --git a/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/async_tests/recordings/test_data_feeds_aad_async.test_list_data_feeds_with_skip.yaml b/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/async_tests/recordings/test_data_feeds_aad_async.test_list_data_feeds_with_skip.yaml
new file mode 100644
index 000000000000..4167875f1c46
--- /dev/null
+++ b/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/async_tests/recordings/test_data_feeds_aad_async.test_list_data_feeds_with_skip.yaml
@@ -0,0 +1,106 @@
+interactions:
+- request:
+    body: null
+    headers:
+      Accept:
+      - application/json
+      User-Agent:
+      - azsdk-python-ai-metricsadvisor/1.0.0b3 Python/3.8.6 (Windows-10-10.0.19041-SP0)
+    method: GET
+    uri: https://js-metrics-advisor.cognitiveservices.azure.com/metricsadvisor/v1.0/dataFeeds
+  response:
+    body:
+      string: "{\"value\":[{\"dataFeedId\":\"0878ef33-d3c0-4868-a556-c0287d971180\",\"dataFeedName\":\"updatehlgw2i4smv3ngmdqej\",\"metrics\":[{\"metricId\":\"97adb289-7ce7-41a8-a476-bc6131de2e00\",\"metricName\":\"cost\",\"metricDisplayName\":\"display
+        cost\",\"metricDescription\":\"the cost\"},{\"metricId\":\"eecc41f9-518e-4186-bb6b-b18ee53c7ecf\",\"metricName\":\"revenue\",\"metricDisplayName\":\"display
+        revenue\",\"metricDescription\":\"the revenue\"}],\"dimension\":[{\"dimensionName\":\"category\",\"dimensionDisplayName\":\"display
+        category\"},{\"dimensionName\":\"city\",\"dimensionDisplayName\":\"display
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+        gran=60m; let starttime=datetime(@StartTime); let endtime=starttime + gran;
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+        gran=60m; let starttime=datetime(@StartTime); let endtime=starttime + gran;
+        requests |?where?timestamp?>=?starttime?and?timestamp?<?endtime |?summarize?request_count?=?count(),?duration_avg_ms?=?avg(duration),?duration_95th_ms?=?percentile(duration,?95),?duration_max_ms?=?max(duration)?by?resultCode\",\"azureCloud\":\"Azure\",\"applicationId\":\"3706fe8b-98f1-47c7-bf69-b73b6e53274d\"}},{\"dataFeedId\":\"9d85a33d-7de0-411d-aa0f-f1940b7973b6\",\"dataFeedName\":\"test_datafeed_1605050124034\",\"metrics\":[{\"metricId\":\"49205ee4-255c-4c4e-8d8d-d94b87896ff9\",\"metricName\":\"cost\",\"metricDisplayName\":\"cost\",\"metricDescription\":\"Metric2
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+      content-length: '18905'
+      content-type: application/json; charset=utf-8
+      date: Sat, 26 Dec 2020 19:38:24 GMT
+      strict-transport-security: max-age=31536000; includeSubDomains; preload
+      x-content-type-options: nosniff
+      x-envoy-upstream-service-time: '81'
+      x-request-id: 188455fe-eaa7-42de-988c-db1308a9c28f
+    status:
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+      message: OK
+    url: https://js-metrics-advisor.cognitiveservices.azure.com//metricsadvisor/v1.0/dataFeeds
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+    headers:
+      Accept:
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+      User-Agent:
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+    method: GET
+    uri: https://js-metrics-advisor.cognitiveservices.azure.com/metricsadvisor/v1.0/dataFeeds?$skip=1
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+        gran=60m; let starttime=datetime(@StartTime); let endtime=starttime + gran;
+        requests |?where?timestamp?>=?starttime?and?timestamp?<?endtime |?summarize?request_count?=?count(),?duration_avg_ms?=?avg(duration),?duration_95th_ms?=?percentile(duration,?95),?duration_max_ms?=?max(duration)?by?resultCode","azureCloud":"Azure","applicationId":"3706fe8b-98f1-47c7-bf69-b73b6e53274d"}},{"dataFeedId":"94a55268-a300-4909-b25a-fadb446a0308","dataFeedName":"js-test-appInsightsFeed-160496970249406144","metrics":[{"metricId":"2c7aa84e-8caa-4715-bebc-fcfd80f68015","metricName":"Metric1","metricDisplayName":"Metric1","metricDescription":""},{"metricId":"b820536b-e92c-4a03-aeab-854710cb5277","metricName":"Metric2","metricDisplayName":"Metric2","metricDescription":""}],"dimension":[{"dimensionName":"Dim1","dimensionDisplayName":"Dim1
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+        gran=60m; let starttime=datetime(@StartTime); let endtime=starttime + gran;
+        requests |?where?timestamp?>=?starttime?and?timestamp?<?endtime |?summarize?request_count?=?count(),?duration_avg_ms?=?avg(duration),?duration_95th_ms?=?percentile(duration,?95),?duration_max_ms?=?max(duration)?by?resultCode","azureCloud":"Azure","applicationId":"3706fe8b-98f1-47c7-bf69-b73b6e53274d"}},{"dataFeedId":"b1e83213-bf36-4104-9116-ad62f445c3f6","dataFeedName":"js-test-appInsightsFeed-160496963066701727","metrics":[{"metricId":"4047a2c2-c936-4b25-9339-e485dd35565d","metricName":"Metric1","metricDisplayName":"Metric1","metricDescription":""},{"metricId":"f41f51c8-2e1e-4945-ad73-7d9f7b666341","metricName":"Metric2","metricDisplayName":"Metric2","metricDescription":""}],"dimension":[{"dimensionName":"Dim1","dimensionDisplayName":"Dim1
+        display"},{"dimensionName":"Dim2","dimensionDisplayName":"Dim2 display"}],"dataStartFrom":"2020-08-21T00:00:00Z","dataSourceType":"AzureApplicationInsights","timestampColumn":"","startOffsetInSeconds":0,"maxQueryPerMinute":30.0,"granularityName":"Daily","granularityAmount":null,"allUpIdentification":"__CUSTOM_SUM__","needRollup":"NeedRollup","fillMissingPointType":"CustomValue","fillMissingPointValue":555.0,"rollUpMethod":"Sum","rollUpColumns":[],"dataFeedDescription":"Data
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+        gran=60m; let starttime=datetime(@StartTime); let endtime=starttime + gran;
+        requests |?where?timestamp?>=?starttime?and?timestamp?<?endtime |?summarize?request_count?=?count(),?duration_avg_ms?=?avg(duration),?duration_95th_ms?=?percentile(duration,?95),?duration_max_ms?=?max(duration)?by?resultCode","azureCloud":"Azure","applicationId":"3706fe8b-98f1-47c7-bf69-b73b6e53274d"}},{"dataFeedId":"d9bb5d8a-4ade-4b41-a912-a3f82ee93c14","dataFeedName":"SqlServerDatafeed","metrics":[{"metricId":"81582df6-0272-40bf-994d-eb497b74d13b","metricName":"cost","metricDisplayName":"cost","metricDescription":""},{"metricId":"507eaf33-3a65-4664-a7d6-5cdcc2dda6ff","metricName":"revenue","metricDisplayName":"revenue","metricDescription":""}],"dimension":[{"dimensionName":"category","dimensionDisplayName":"category"},{"dimensionName":"city","dimensionDisplayName":"city"}],"dataStartFrom":"2020-08-11T00:00:00Z","dataSourceType":"SqlServer","timestampColumn":"timestamp","startOffsetInSeconds":0,"maxQueryPerMinute":30.0,"granularityName":"Daily","granularityAmount":null,"allUpIdentification":"__SUM__","needRollup":"NeedRollup","fillMissingPointType":"SmartFilling","fillMissingPointValue":0.0,"rollUpMethod":"Sum","rollUpColumns":[],"dataFeedDescription":"","stopRetryAfterInSeconds":-1,"minRetryIntervalInSeconds":-1,"maxConcurrency":-1,"viewMode":"Private","admins":["johanste@microsoft.com","yumeng@microsoft.com","xiangyan@microsoft.com","savaity@microsoft.com","anuchan@microsoft.com","chriss@microsoft.com","kaolsze@microsoft.com","camaiaor@microsoft.com","krpratic@microsoft.com","elraikhm@microsoft.com","kaghiya@microsoft.com","mayurid@microsoft.com"],"viewers":[],"creator":"savaity@microsoft.com","status":"Active","createdTime":"2020-10-16T17:35:24Z","isAdmin":true,"actionLinkTemplate":"","dataSourceParameter":{"connectionString":"connectionstring;","query":"select
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+    headers:
+      apim-request-id: dc8d8360-712c-42a3-88bb-9f73a8ac9828
+      content-length: '17244'
+      content-type: application/json; charset=utf-8
+      date: Sat, 26 Dec 2020 19:38:25 GMT
+      strict-transport-security: max-age=31536000; includeSubDomains; preload
+      x-content-type-options: nosniff
+      x-envoy-upstream-service-time: '90'
+      x-request-id: dc8d8360-712c-42a3-88bb-9f73a8ac9828
+    status:
+      code: 200
+      message: OK
+    url: https://js-metrics-advisor.cognitiveservices.azure.com//metricsadvisor/v1.0/dataFeeds?$skip=1
+version: 1
diff --git a/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/async_tests/recordings/test_data_feeds_aad_async.test_list_data_feeds_with_source_type.yaml b/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/async_tests/recordings/test_data_feeds_aad_async.test_list_data_feeds_with_source_type.yaml
new file mode 100644
index 000000000000..6a4ba77ca0ba
--- /dev/null
+++ b/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/async_tests/recordings/test_data_feeds_aad_async.test_list_data_feeds_with_source_type.yaml
@@ -0,0 +1,39 @@
+interactions:
+- request:
+    body: null
+    headers:
+      Accept:
+      - application/json
+      User-Agent:
+      - azsdk-python-ai-metricsadvisor/1.0.0b3 Python/3.8.6 (Windows-10-10.0.19041-SP0)
+    method: GET
+    uri: https://js-metrics-advisor.cognitiveservices.azure.com/metricsadvisor/v1.0/dataFeeds?dataSourceType=SqlServer
+  response:
+    body:
+      string: "{\"value\":[{\"dataFeedId\":\"0878ef33-d3c0-4868-a556-c0287d971180\",\"dataFeedName\":\"updatehlgw2i4smv3ngmdqej\",\"metrics\":[{\"metricId\":\"97adb289-7ce7-41a8-a476-bc6131de2e00\",\"metricName\":\"cost\",\"metricDisplayName\":\"display
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+        * from adsample2 where Timestamp = @StartTime\"}}],\"@nextLink\":null}"
+    headers:
+      apim-request-id: c5c7cf40-d6a3-4353-835c-04c3e235dea2
+      content-length: '6696'
+      content-type: application/json; charset=utf-8
+      date: Sat, 26 Dec 2020 19:38:25 GMT
+      strict-transport-security: max-age=31536000; includeSubDomains; preload
+      x-content-type-options: nosniff
+      x-envoy-upstream-service-time: '575'
+      x-request-id: c5c7cf40-d6a3-4353-835c-04c3e235dea2
+    status:
+      code: 200
+      message: OK
+    url: https://js-metrics-advisor.cognitiveservices.azure.com//metricsadvisor/v1.0/dataFeeds?dataSourceType=SqlServer
+version: 1
diff --git a/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/async_tests/recordings/test_data_feeds_aad_async.test_list_data_feeds_with_status.yaml b/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/async_tests/recordings/test_data_feeds_aad_async.test_list_data_feeds_with_status.yaml
new file mode 100644
index 000000000000..522833d46c5f
--- /dev/null
+++ b/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/async_tests/recordings/test_data_feeds_aad_async.test_list_data_feeds_with_status.yaml
@@ -0,0 +1,27 @@
+interactions:
+- request:
+    body: null
+    headers:
+      Accept:
+      - application/json
+      User-Agent:
+      - azsdk-python-ai-metricsadvisor/1.0.0b3 Python/3.8.6 (Windows-10-10.0.19041-SP0)
+    method: GET
+    uri: https://js-metrics-advisor.cognitiveservices.azure.com/metricsadvisor/v1.0/dataFeeds?status=Paused
+  response:
+    body:
+      string: '{"value":[],"@nextLink":null}'
+    headers:
+      apim-request-id: 2ac930b5-3659-4f26-9645-a7e91fd60e10
+      content-length: '29'
+      content-type: application/json; charset=utf-8
+      date: Sat, 26 Dec 2020 19:38:26 GMT
+      strict-transport-security: max-age=31536000; includeSubDomains; preload
+      x-content-type-options: nosniff
+      x-envoy-upstream-service-time: '46'
+      x-request-id: 2ac930b5-3659-4f26-9645-a7e91fd60e10
+    status:
+      code: 200
+      message: OK
+    url: https://js-metrics-advisor.cognitiveservices.azure.com//metricsadvisor/v1.0/dataFeeds?status=Paused
+version: 1
diff --git a/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/async_tests/recordings/test_data_feeds_aad_async.test_update_data_feed_by_reseting_properties.yaml b/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/async_tests/recordings/test_data_feeds_aad_async.test_update_data_feed_by_reseting_properties.yaml
new file mode 100644
index 000000000000..7fd32932791a
--- /dev/null
+++ b/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/async_tests/recordings/test_data_feeds_aad_async.test_update_data_feed_by_reseting_properties.yaml
@@ -0,0 +1,162 @@
+interactions:
+- request:
+    body: '{"dataSourceType": "SqlServer", "dataFeedName": "updateckis7fqs7hk7oaxzx7",
+      "dataFeedDescription": "my first data feed", "granularityName": "Daily", "metrics":
+      [{"metricName": "cost", "metricDisplayName": "display cost", "metricDescription":
+      "the cost"}, {"metricName": "revenue", "metricDisplayName": "display revenue",
+      "metricDescription": "the revenue"}], "dimension": [{"dimensionName": "category",
+      "dimensionDisplayName": "display category"}, {"dimensionName": "city", "dimensionDisplayName":
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diff --git a/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/async_tests/recordings/test_data_feeds_async.test_list_data_feeds_with_skip.yaml b/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/async_tests/recordings/test_data_feeds_async.test_list_data_feeds_with_skip.yaml
index 4b90ca5ee082..d83384ab1379 100644
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diff --git a/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/async_tests/recordings/test_data_feeds_async.test_list_data_feeds_with_source_type.yaml b/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/async_tests/recordings/test_data_feeds_async.test_list_data_feeds_with_source_type.yaml
index 4223f0f2d9fb..ab337212555b 100644
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new file mode 100644
index 000000000000..554be67e95e9
--- /dev/null
+++ b/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/async_tests/recordings/test_detection_config_aad_async.test_update_detection_config_with_model_and_kwargs.yaml
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index 0e2464bde521..8ddbfc0d6ff1 100644
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       content-type: application/json; charset=utf-8
-      date: Mon, 26 Oct 2020 17:54:28 GMT
+      date: Sat, 26 Dec 2020 19:42:51 GMT
       strict-transport-security: max-age=31536000; includeSubDomains; preload
       x-content-type-options: nosniff
-      x-envoy-upstream-service-time: '85'
-      x-request-id: ddc0e0cc-04d2-4a50-b418-7012b6beeece
+      x-envoy-upstream-service-time: '118'
+      x-request-id: 2c7e90ce-1f78-4673-a60d-63af481dd080
     status:
       code: 200
       message: OK
@@ -2951,7 +2951,7 @@ interactions:
       Content-Type:
       - application/json
       User-Agent:
-      - azsdk-python-ai-metricsadvisor/1.0.0b2 Python/3.8.5 (Windows-10-10.0.19041-SP0)
+      - azsdk-python-ai-metricsadvisor/1.0.0b3 Python/3.8.6 (Windows-10-10.0.19041-SP0)
     method: POST
     uri: https://js-metrics-advisor.cognitiveservices.azure.com:443/metricsadvisor/v1.0/metrics/metric_id/series/query?$top=20&$skip=1340
   response:
@@ -2972,14 +2972,14 @@ interactions:
         Computers"}},{"metricId":"metric_id","dimension":{"dimension_name":"Manila","category":"Baby
         Products (Excluding Apparel)"}},{"metricId":"metric_id","dimension":{"dimension_name":"Hanoi","category":"__SUM__"}},{"metricId":"metric_id","dimension":{"dimension_name":"Xi''an","category":"__SUM__"}},{"metricId":"metric_id","dimension":{"dimension_name":"Melbourne","category":"__SUM__"}}],"@nextLink":"https://js-metrics-advisor.cognitiveservices.azure.com:443/metricsadvisor/v1.0/metrics/metric_id/series/query?$top=20&$skip=1360"}'
     headers:
-      apim-request-id: 320d8a5c-bfc6-4f47-baff-42440ef6ba7c
+      apim-request-id: d82965b8-10d6-4141-8aff-8f174eac2976
       content-length: '2462'
       content-type: application/json; charset=utf-8
-      date: Mon, 26 Oct 2020 17:54:28 GMT
+      date: Sat, 26 Dec 2020 19:42:51 GMT
       strict-transport-security: max-age=31536000; includeSubDomains; preload
       x-content-type-options: nosniff
-      x-envoy-upstream-service-time: '78'
-      x-request-id: 320d8a5c-bfc6-4f47-baff-42440ef6ba7c
+      x-envoy-upstream-service-time: '117'
+      x-request-id: d82965b8-10d6-4141-8aff-8f174eac2976
     status:
       code: 200
       message: OK
@@ -2994,7 +2994,7 @@ interactions:
       Content-Type:
       - application/json
       User-Agent:
-      - azsdk-python-ai-metricsadvisor/1.0.0b2 Python/3.8.5 (Windows-10-10.0.19041-SP0)
+      - azsdk-python-ai-metricsadvisor/1.0.0b3 Python/3.8.6 (Windows-10-10.0.19041-SP0)
     method: POST
     uri: https://js-metrics-advisor.cognitiveservices.azure.com:443/metricsadvisor/v1.0/metrics/metric_id/series/query?$top=20&$skip=1360
   response:
@@ -3017,14 +3017,14 @@ interactions:
         Collectibles"}},{"metricId":"metric_id","dimension":{"dimension_name":"Delhi","category":"Sports"}},{"metricId":"metric_id","dimension":{"dimension_name":"Rio
         de Janeiro","category":"Fine Art"}},{"metricId":"metric_id","dimension":{"dimension_name":"Cairo","category":"Sports"}}],"@nextLink":"https://js-metrics-advisor.cognitiveservices.azure.com:443/metricsadvisor/v1.0/metrics/metric_id/series/query?$top=20&$skip=1380"}'
     headers:
-      apim-request-id: cba30e09-1a77-493f-8382-8d43efa2e3a3
+      apim-request-id: 5f54cbf7-7b7b-4c9d-ba5e-b1975ae468cb
       content-length: '2397'
       content-type: application/json; charset=utf-8
-      date: Mon, 26 Oct 2020 17:54:28 GMT
+      date: Sat, 26 Dec 2020 19:42:51 GMT
       strict-transport-security: max-age=31536000; includeSubDomains; preload
       x-content-type-options: nosniff
-      x-envoy-upstream-service-time: '80'
-      x-request-id: cba30e09-1a77-493f-8382-8d43efa2e3a3
+      x-envoy-upstream-service-time: '122'
+      x-request-id: 5f54cbf7-7b7b-4c9d-ba5e-b1975ae468cb
     status:
       code: 200
       message: OK
@@ -3039,7 +3039,7 @@ interactions:
       Content-Type:
       - application/json
       User-Agent:
-      - azsdk-python-ai-metricsadvisor/1.0.0b2 Python/3.8.5 (Windows-10-10.0.19041-SP0)
+      - azsdk-python-ai-metricsadvisor/1.0.0b3 Python/3.8.6 (Windows-10-10.0.19041-SP0)
     method: POST
     uri: https://js-metrics-advisor.cognitiveservices.azure.com:443/metricsadvisor/v1.0/metrics/metric_id/series/query?$top=20&$skip=1380
   response:
@@ -3064,14 +3064,14 @@ interactions:
         & Travel Accessories"}},{"metricId":"metric_id","dimension":{"dimension_name":"Lima","category":"Luggage
         & Travel Accessories"}}],"@nextLink":"https://js-metrics-advisor.cognitiveservices.azure.com:443/metricsadvisor/v1.0/metrics/metric_id/series/query?$top=20&$skip=1400"}'
     headers:
-      apim-request-id: 90b4242d-ec99-4b68-b4d7-9116d356076e
+      apim-request-id: 39e880e1-8b84-4555-99a5-528dd1d6fcf2
       content-length: '2608'
       content-type: application/json; charset=utf-8
-      date: Mon, 26 Oct 2020 17:54:28 GMT
+      date: Sat, 26 Dec 2020 19:42:51 GMT
       strict-transport-security: max-age=31536000; includeSubDomains; preload
       x-content-type-options: nosniff
-      x-envoy-upstream-service-time: '82'
-      x-request-id: 90b4242d-ec99-4b68-b4d7-9116d356076e
+      x-envoy-upstream-service-time: '119'
+      x-request-id: 39e880e1-8b84-4555-99a5-528dd1d6fcf2
     status:
       code: 200
       message: OK
@@ -3086,7 +3086,7 @@ interactions:
       Content-Type:
       - application/json
       User-Agent:
-      - azsdk-python-ai-metricsadvisor/1.0.0b2 Python/3.8.5 (Windows-10-10.0.19041-SP0)
+      - azsdk-python-ai-metricsadvisor/1.0.0b3 Python/3.8.6 (Windows-10-10.0.19041-SP0)
     method: POST
     uri: https://js-metrics-advisor.cognitiveservices.azure.com:443/metricsadvisor/v1.0/metrics/metric_id/series/query?$top=20&$skip=1400
   response:
@@ -3096,14 +3096,14 @@ interactions:
         Horizonte","category":"Sports Collectibles"}},{"metricId":"metric_id","dimension":{"dimension_name":"Monterrey","category":"__SUM__"}},{"metricId":"metric_id","dimension":{"dimension_name":"Wuhan","category":"Baby
         Products (Excluding Apparel)"}},{"metricId":"metric_id","dimension":{"dimension_name":"Ankara","category":"__SUM__"}}],"@nextLink":null}'
     headers:
-      apim-request-id: e668a138-a39f-49bb-9a56-445012c8dab0
+      apim-request-id: d633c70d-0b04-4262-81b8-6a4cb5fc29e2
       content-length: '604'
       content-type: application/json; charset=utf-8
-      date: Mon, 26 Oct 2020 17:54:28 GMT
+      date: Sat, 26 Dec 2020 19:42:51 GMT
       strict-transport-security: max-age=31536000; includeSubDomains; preload
       x-content-type-options: nosniff
-      x-envoy-upstream-service-time: '100'
-      x-request-id: e668a138-a39f-49bb-9a56-445012c8dab0
+      x-envoy-upstream-service-time: '117'
+      x-request-id: d633c70d-0b04-4262-81b8-6a4cb5fc29e2
     status:
       code: 200
       message: OK
diff --git a/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/async_tests/recordings/test_metrics_advisor_client_live_async.test_list_metrics_series_data.yaml b/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/async_tests/recordings/test_metrics_advisor_client_live_async.test_list_metrics_series_data.yaml
index 3781902d4b41..b2cb1a989b55 100644
--- a/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/async_tests/recordings/test_metrics_advisor_client_live_async.test_list_metrics_series_data.yaml
+++ b/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/async_tests/recordings/test_metrics_advisor_client_live_async.test_list_metrics_series_data.yaml
@@ -10,7 +10,7 @@ interactions:
       Content-Type:
       - application/json
       User-Agent:
-      - azsdk-python-ai-metricsadvisor/1.0.0b2 Python/3.8.5 (Windows-10-10.0.19041-SP0)
+      - azsdk-python-ai-metricsadvisor/1.0.0b3 Python/3.8.6 (Windows-10-10.0.19041-SP0)
     method: POST
     uri: https://js-metrics-advisor.cognitiveservices.azure.com/metricsadvisor/v1.0/metrics/metric_id/data/query
   response:
@@ -18,14 +18,14 @@ interactions:
       string: '{"value":[{"id":{"metricId":"metric_id","dimension":{"dimension_name":"Los
         Angeles","category":"Homemade"}},"timestampList":[],"valueList":[]}]}'
     headers:
-      apim-request-id: dda7e307-4bfc-4cd5-9ad8-bdce0612aaab
+      apim-request-id: 911c3753-6c1b-432d-b5a1-0fef4aadf79a
       content-length: '161'
       content-type: application/json; charset=utf-8
-      date: Mon, 26 Oct 2020 17:54:29 GMT
+      date: Sat, 26 Dec 2020 19:42:52 GMT
       strict-transport-security: max-age=31536000; includeSubDomains; preload
       x-content-type-options: nosniff
-      x-envoy-upstream-service-time: '309'
-      x-request-id: dda7e307-4bfc-4cd5-9ad8-bdce0612aaab
+      x-envoy-upstream-service-time: '450'
+      x-request-id: 911c3753-6c1b-432d-b5a1-0fef4aadf79a
     status:
       code: 200
       message: OK
diff --git a/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/async_tests/test_alert_config_aad_async.py b/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/async_tests/test_alert_config_aad_async.py
new file mode 100644
index 000000000000..10d9420b4e2c
--- /dev/null
+++ b/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/async_tests/test_alert_config_aad_async.py
@@ -0,0 +1,1100 @@
+# -------------------------------------------------------------------------
+# Copyright (c) Microsoft Corporation. All rights reserved.
+# Licensed under the MIT License. See License.txt in the project root for
+# license information.
+# --------------------------------------------------------------------------
+
+import pytest
+from devtools_testutils import AzureTestCase
+from azure.core.exceptions import ResourceNotFoundError
+
+from azure.ai.metricsadvisor.models import (
+    MetricAlertConfiguration,
+    MetricAnomalyAlertScope,
+    MetricAnomalyAlertConditions,
+    MetricBoundaryCondition,
+    TopNGroupScope,
+    SeverityCondition,
+    MetricAnomalyAlertSnoozeCondition,
+)
+from base_testcase_aad_async import TestMetricsAdvisorAdministrationClientBaseAsync
+
+
+class TestMetricsAdvisorAdministrationClientAsync(TestMetricsAdvisorAdministrationClientBaseAsync):
+
+    @AzureTestCase.await_prepared_test
+    async def test_create_alert_config_top_n_alert_direction_both(self):
+
+        detection_config, data_feed = await self._create_data_feed_and_detection_config("topnup")
+        alert_config_name = self.create_random_name("testalert")
+        async with self.admin_client:
+            try:
+                alert_config = await self.admin_client.create_alert_configuration(
+                    name=alert_config_name,
+                    metric_alert_configurations=[
+                        MetricAlertConfiguration(
+                            detection_configuration_id=detection_config.id,
+                            alert_scope=MetricAnomalyAlertScope(
+                                scope_type="TopN",
+                                top_n_group_in_scope=TopNGroupScope(
+                                    top=5,
+                                    period=10,
+                                    min_top_count=9
+                                )
+                            ),
+                            alert_conditions=MetricAnomalyAlertConditions(
+                                metric_boundary_condition=MetricBoundaryCondition(
+                                    direction="Both",
+                                    companion_metric_id=data_feed.metric_ids[0],
+                                    lower=1.0,
+                                    upper=5.0
+                                )
+                            )
+                        )
+                    ],
+                    hook_ids=[]
+                )
+                self.assertIsNone(alert_config.cross_metrics_operator)
+                self.assertIsNotNone(alert_config.id)
+                self.assertIsNotNone(alert_config.name)
+                self.assertEqual(len(alert_config.metric_alert_configurations), 1)
+                self.assertIsNotNone(alert_config.metric_alert_configurations[0].detection_configuration_id)
+                self.assertFalse(alert_config.metric_alert_configurations[0].negation_operation)
+                self.assertEqual(alert_config.metric_alert_configurations[0].alert_scope.scope_type, "TopN")
+                self.assertEqual(
+                    alert_config.metric_alert_configurations[0].alert_scope.top_n_group_in_scope.min_top_count, 9)
+                self.assertEqual(alert_config.metric_alert_configurations[0].alert_scope.top_n_group_in_scope.period, 10)
+                self.assertEqual(alert_config.metric_alert_configurations[0].alert_scope.top_n_group_in_scope.top, 5)
+                self.assertIsNotNone(
+                    alert_config.metric_alert_configurations[0].alert_conditions.metric_boundary_condition.companion_metric_id)
+                self.assertEqual(
+                    alert_config.metric_alert_configurations[0].alert_conditions.metric_boundary_condition.upper, 5.0)
+                self.assertEqual(
+                    alert_config.metric_alert_configurations[0].alert_conditions.metric_boundary_condition.lower, 1.0)
+                self.assertEqual(
+                    alert_config.metric_alert_configurations[0].alert_conditions.metric_boundary_condition.direction, "Both")
+                self.assertFalse(
+                    alert_config.metric_alert_configurations[0].alert_conditions.metric_boundary_condition.trigger_for_missing)
+
+                await self.admin_client.delete_alert_configuration(alert_config.id)
+
+                with self.assertRaises(ResourceNotFoundError):
+                    await self.admin_client.get_alert_configuration(alert_config.id)
+
+            finally:
+                await self.admin_client.delete_detection_configuration(detection_config.id)
+                await self.admin_client.delete_data_feed(data_feed.id)
+
+    @AzureTestCase.await_prepared_test
+    async def test_create_alert_config_top_n_alert_direction_down(self):
+
+        detection_config, data_feed = await self._create_data_feed_and_detection_config("topnup")
+        alert_config_name = self.create_random_name("testalert")
+        async with self.admin_client:
+            try:
+                alert_config = await self.admin_client.create_alert_configuration(
+                    name=alert_config_name,
+                    metric_alert_configurations=[
+                        MetricAlertConfiguration(
+                            detection_configuration_id=detection_config.id,
+                            alert_scope=MetricAnomalyAlertScope(
+                                scope_type="TopN",
+                                top_n_group_in_scope=TopNGroupScope(
+                                    top=5,
+                                    period=10,
+                                    min_top_count=9
+                                )
+                            ),
+                            alert_conditions=MetricAnomalyAlertConditions(
+                                metric_boundary_condition=MetricBoundaryCondition(
+                                    direction="Down",
+                                    companion_metric_id=data_feed.metric_ids[0],
+                                    lower=1.0,
+                                )
+                            )
+                        )
+                    ],
+                    hook_ids=[]
+                )
+                self.assertIsNone(alert_config.cross_metrics_operator)
+                self.assertIsNotNone(alert_config.id)
+                self.assertIsNotNone(alert_config.name)
+                self.assertEqual(len(alert_config.metric_alert_configurations), 1)
+                self.assertIsNotNone(alert_config.metric_alert_configurations[0].detection_configuration_id)
+                self.assertFalse(alert_config.metric_alert_configurations[0].negation_operation)
+                self.assertEqual(alert_config.metric_alert_configurations[0].alert_scope.scope_type, "TopN")
+                self.assertEqual(
+                    alert_config.metric_alert_configurations[0].alert_scope.top_n_group_in_scope.min_top_count, 9)
+                self.assertEqual(alert_config.metric_alert_configurations[0].alert_scope.top_n_group_in_scope.period, 10)
+                self.assertEqual(alert_config.metric_alert_configurations[0].alert_scope.top_n_group_in_scope.top, 5)
+                self.assertIsNotNone(
+                    alert_config.metric_alert_configurations[0].alert_conditions.metric_boundary_condition.companion_metric_id)
+                self.assertEqual(
+                    alert_config.metric_alert_configurations[0].alert_conditions.metric_boundary_condition.direction, "Down")
+                self.assertEqual(
+                    alert_config.metric_alert_configurations[0].alert_conditions.metric_boundary_condition.lower, 1.0)
+                self.assertIsNone(
+                    alert_config.metric_alert_configurations[0].alert_conditions.metric_boundary_condition.upper)
+                self.assertFalse(
+                    alert_config.metric_alert_configurations[0].alert_conditions.metric_boundary_condition.trigger_for_missing)
+
+                await self.admin_client.delete_alert_configuration(alert_config.id)
+
+                with self.assertRaises(ResourceNotFoundError):
+                    await self.admin_client.get_alert_configuration(alert_config.id)
+
+            finally:
+                await self.admin_client.delete_detection_configuration(detection_config.id)
+                await self.admin_client.delete_data_feed(data_feed.id)
+
+    @AzureTestCase.await_prepared_test
+    async def test_create_alert_config_top_n_alert_direction_up(self):
+
+        detection_config, data_feed = await self._create_data_feed_and_detection_config("topnup")
+        alert_config_name = self.create_random_name("testalert")
+        async with self.admin_client:
+            try:
+                alert_config = await self.admin_client.create_alert_configuration(
+                    name=alert_config_name,
+                    metric_alert_configurations=[
+                        MetricAlertConfiguration(
+                            detection_configuration_id=detection_config.id,
+                            alert_scope=MetricAnomalyAlertScope(
+                                scope_type="TopN",
+                                top_n_group_in_scope=TopNGroupScope(
+                                    top=5,
+                                    period=10,
+                                    min_top_count=9
+                                )
+                            ),
+                            alert_conditions=MetricAnomalyAlertConditions(
+                                metric_boundary_condition=MetricBoundaryCondition(
+                                    direction="Up",
+                                    companion_metric_id=data_feed.metric_ids[0],
+                                    upper=5.0,
+                                )
+                            )
+                        )
+                    ],
+                    hook_ids=[]
+                )
+                self.assertIsNone(alert_config.cross_metrics_operator)
+                self.assertIsNotNone(alert_config.id)
+                self.assertIsNotNone(alert_config.name)
+                self.assertEqual(len(alert_config.metric_alert_configurations), 1)
+                self.assertIsNotNone(alert_config.metric_alert_configurations[0].detection_configuration_id)
+                self.assertFalse(alert_config.metric_alert_configurations[0].negation_operation)
+                self.assertEqual(alert_config.metric_alert_configurations[0].alert_scope.scope_type, "TopN")
+                self.assertEqual(
+                    alert_config.metric_alert_configurations[0].alert_scope.top_n_group_in_scope.min_top_count, 9)
+                self.assertEqual(alert_config.metric_alert_configurations[0].alert_scope.top_n_group_in_scope.period, 10)
+                self.assertEqual(alert_config.metric_alert_configurations[0].alert_scope.top_n_group_in_scope.top, 5)
+                self.assertIsNotNone(
+                    alert_config.metric_alert_configurations[0].alert_conditions.metric_boundary_condition.companion_metric_id)
+                self.assertEqual(
+                    alert_config.metric_alert_configurations[0].alert_conditions.metric_boundary_condition.direction, "Up")
+                self.assertEqual(
+                    alert_config.metric_alert_configurations[0].alert_conditions.metric_boundary_condition.upper, 5.0)
+                self.assertIsNone(
+                    alert_config.metric_alert_configurations[0].alert_conditions.metric_boundary_condition.lower)
+                self.assertFalse(
+                    alert_config.metric_alert_configurations[0].alert_conditions.metric_boundary_condition.trigger_for_missing)
+
+                await self.admin_client.delete_alert_configuration(alert_config.id)
+
+                with self.assertRaises(ResourceNotFoundError):
+                    await self.admin_client.get_alert_configuration(alert_config.id)
+
+            finally:
+                await self.admin_client.delete_detection_configuration(detection_config.id)
+                await self.admin_client.delete_data_feed(data_feed.id)
+
+    @AzureTestCase.await_prepared_test
+    async def test_create_alert_config_top_n_severity_condition(self):
+
+        detection_config, data_feed = await self._create_data_feed_and_detection_config("topnup")
+        alert_config_name = self.create_random_name("testalert")
+        async with self.admin_client:
+            try:
+                alert_config = await self.admin_client.create_alert_configuration(
+                    name=alert_config_name,
+                    metric_alert_configurations=[
+                        MetricAlertConfiguration(
+                            detection_configuration_id=detection_config.id,
+                            alert_scope=MetricAnomalyAlertScope(
+                                scope_type="TopN",
+                                top_n_group_in_scope=TopNGroupScope(
+                                    top=5,
+                                    period=10,
+                                    min_top_count=9
+                                )
+                            ),
+                            alert_conditions=MetricAnomalyAlertConditions(
+                                severity_condition=SeverityCondition(
+                                    min_alert_severity="Low",
+                                    max_alert_severity="High"
+                                )
+                            )
+                        )
+                    ],
+                    hook_ids=[]
+                )
+                self.assertIsNone(alert_config.cross_metrics_operator)
+                self.assertIsNotNone(alert_config.id)
+                self.assertIsNotNone(alert_config.name)
+                self.assertEqual(len(alert_config.metric_alert_configurations), 1)
+                self.assertIsNotNone(alert_config.metric_alert_configurations[0].detection_configuration_id)
+                self.assertFalse(alert_config.metric_alert_configurations[0].negation_operation)
+                self.assertEqual(alert_config.metric_alert_configurations[0].alert_scope.scope_type, "TopN")
+                self.assertEqual(
+                    alert_config.metric_alert_configurations[0].alert_scope.top_n_group_in_scope.min_top_count, 9)
+                self.assertEqual(alert_config.metric_alert_configurations[0].alert_scope.top_n_group_in_scope.period, 10)
+                self.assertEqual(alert_config.metric_alert_configurations[0].alert_scope.top_n_group_in_scope.top, 5)
+                self.assertEqual(
+                    alert_config.metric_alert_configurations[0].alert_conditions.severity_condition.min_alert_severity, "Low")
+                self.assertEqual(
+                    alert_config.metric_alert_configurations[0].alert_conditions.severity_condition.max_alert_severity, "High")
+
+                await self.admin_client.delete_alert_configuration(alert_config.id)
+
+                with self.assertRaises(ResourceNotFoundError):
+                    await self.admin_client.get_alert_configuration(alert_config.id)
+
+            finally:
+                await self.admin_client.delete_detection_configuration(detection_config.id)
+                await self.admin_client.delete_data_feed(data_feed.id)
+
+    @AzureTestCase.await_prepared_test
+    async def test_create_alert_config_snooze_condition(self):
+
+        detection_config, data_feed = await self._create_data_feed_and_detection_config("topnup")
+        alert_config_name = self.create_random_name("testalert")
+        async with self.admin_client:
+            try:
+                alert_config = await self.admin_client.create_alert_configuration(
+                    name=alert_config_name,
+                    metric_alert_configurations=[
+                        MetricAlertConfiguration(
+                            detection_configuration_id=detection_config.id,
+                            alert_scope=MetricAnomalyAlertScope(
+                                scope_type="TopN",
+                                top_n_group_in_scope=TopNGroupScope(
+                                    top=5,
+                                    period=10,
+                                    min_top_count=9
+                                )
+                            ),
+                            alert_snooze_condition=MetricAnomalyAlertSnoozeCondition(
+                                auto_snooze=5,
+                                snooze_scope="Metric",
+                                only_for_successive=True
+                            )
+                        )
+                    ],
+                    hook_ids=[]
+                )
+                self.assertIsNone(alert_config.cross_metrics_operator)
+                self.assertIsNotNone(alert_config.id)
+                self.assertIsNotNone(alert_config.name)
+                self.assertEqual(len(alert_config.metric_alert_configurations), 1)
+                self.assertIsNotNone(alert_config.metric_alert_configurations[0].detection_configuration_id)
+                self.assertFalse(alert_config.metric_alert_configurations[0].negation_operation)
+                self.assertEqual(alert_config.metric_alert_configurations[0].alert_scope.scope_type, "TopN")
+                self.assertEqual(
+                    alert_config.metric_alert_configurations[0].alert_scope.top_n_group_in_scope.min_top_count, 9)
+                self.assertEqual(alert_config.metric_alert_configurations[0].alert_scope.top_n_group_in_scope.period, 10)
+                self.assertEqual(alert_config.metric_alert_configurations[0].alert_scope.top_n_group_in_scope.top, 5)
+                self.assertEqual(
+                    alert_config.metric_alert_configurations[0].alert_snooze_condition.auto_snooze, 5)
+                self.assertEqual(
+                    alert_config.metric_alert_configurations[0].alert_snooze_condition.snooze_scope, "Metric")
+                self.assertTrue(
+                    alert_config.metric_alert_configurations[0].alert_snooze_condition.only_for_successive)
+                await self.admin_client.delete_alert_configuration(alert_config.id)
+
+                with self.assertRaises(ResourceNotFoundError):
+                    await self.admin_client.get_alert_configuration(alert_config.id)
+
+            finally:
+                await self.admin_client.delete_detection_configuration(detection_config.id)
+                await self.admin_client.delete_data_feed(data_feed.id)
+
+    @AzureTestCase.await_prepared_test
+    async def test_create_alert_config_whole_series_alert_direction_both(self):
+
+        detection_config, data_feed = await self._create_data_feed_and_detection_config("wholeseries")
+        alert_config_name = self.create_random_name("testalert")
+        async with self.admin_client:
+            try:
+                alert_config = await self.admin_client.create_alert_configuration(
+                    name=alert_config_name,
+                    metric_alert_configurations=[
+                        MetricAlertConfiguration(
+                            detection_configuration_id=detection_config.id,
+                            alert_scope=MetricAnomalyAlertScope(
+                                scope_type="WholeSeries",
+                            ),
+                            alert_conditions=MetricAnomalyAlertConditions(
+                                metric_boundary_condition=MetricBoundaryCondition(
+                                    direction="Both",
+                                    companion_metric_id=data_feed.metric_ids[0],
+                                    lower=1.0,
+                                    upper=5.0
+                                )
+                            )
+                        )
+                    ],
+                    hook_ids=[]
+                )
+                self.assertIsNone(alert_config.cross_metrics_operator)
+                self.assertIsNotNone(alert_config.id)
+                self.assertIsNotNone(alert_config.name)
+                self.assertEqual(len(alert_config.metric_alert_configurations), 1)
+                self.assertIsNotNone(alert_config.metric_alert_configurations[0].detection_configuration_id)
+                self.assertFalse(alert_config.metric_alert_configurations[0].negation_operation)
+                self.assertEqual(alert_config.metric_alert_configurations[0].alert_scope.scope_type, "WholeSeries")
+                self.assertIsNotNone(
+                    alert_config.metric_alert_configurations[0].alert_conditions.metric_boundary_condition.companion_metric_id)
+                self.assertEqual(
+                    alert_config.metric_alert_configurations[0].alert_conditions.metric_boundary_condition.upper, 5.0)
+                self.assertEqual(
+                    alert_config.metric_alert_configurations[0].alert_conditions.metric_boundary_condition.lower, 1.0)
+                self.assertEqual(
+                    alert_config.metric_alert_configurations[0].alert_conditions.metric_boundary_condition.direction, "Both")
+                self.assertFalse(
+                    alert_config.metric_alert_configurations[0].alert_conditions.metric_boundary_condition.trigger_for_missing)
+
+                await self.admin_client.delete_alert_configuration(alert_config.id)
+
+                with self.assertRaises(ResourceNotFoundError):
+                    await self.admin_client.get_alert_configuration(alert_config.id)
+
+            finally:
+                await self.admin_client.delete_detection_configuration(detection_config.id)
+                await self.admin_client.delete_data_feed(data_feed.id)
+
+    @AzureTestCase.await_prepared_test
+    async def test_create_alert_config_whole_series_alert_direction_down(self):
+
+        detection_config, data_feed = await self._create_data_feed_and_detection_config("wholeseries")
+        alert_config_name = self.create_random_name("testalert")
+        async with self.admin_client:
+            try:
+                alert_config = await self.admin_client.create_alert_configuration(
+                    name=alert_config_name,
+                    metric_alert_configurations=[
+                        MetricAlertConfiguration(
+                            detection_configuration_id=detection_config.id,
+                            alert_scope=MetricAnomalyAlertScope(
+                                scope_type="WholeSeries"
+                            ),
+                            alert_conditions=MetricAnomalyAlertConditions(
+                                metric_boundary_condition=MetricBoundaryCondition(
+                                    direction="Down",
+                                    companion_metric_id=data_feed.metric_ids[0],
+                                    lower=1.0,
+                                )
+                            )
+                        )
+                    ],
+                    hook_ids=[]
+                )
+                self.assertIsNone(alert_config.cross_metrics_operator)
+                self.assertIsNotNone(alert_config.id)
+                self.assertIsNotNone(alert_config.name)
+                self.assertEqual(len(alert_config.metric_alert_configurations), 1)
+                self.assertIsNotNone(alert_config.metric_alert_configurations[0].detection_configuration_id)
+                self.assertFalse(alert_config.metric_alert_configurations[0].negation_operation)
+                self.assertEqual(alert_config.metric_alert_configurations[0].alert_scope.scope_type, "WholeSeries")
+                self.assertIsNotNone(
+                    alert_config.metric_alert_configurations[0].alert_conditions.metric_boundary_condition.companion_metric_id)
+                self.assertEqual(
+                    alert_config.metric_alert_configurations[0].alert_conditions.metric_boundary_condition.direction, "Down")
+                self.assertEqual(
+                    alert_config.metric_alert_configurations[0].alert_conditions.metric_boundary_condition.lower, 1.0)
+                self.assertIsNone(
+                    alert_config.metric_alert_configurations[0].alert_conditions.metric_boundary_condition.upper)
+                self.assertFalse(
+                    alert_config.metric_alert_configurations[0].alert_conditions.metric_boundary_condition.trigger_for_missing)
+
+                await self.admin_client.delete_alert_configuration(alert_config.id)
+
+                with self.assertRaises(ResourceNotFoundError):
+                    await self.admin_client.get_alert_configuration(alert_config.id)
+
+            finally:
+                await self.admin_client.delete_detection_configuration(detection_config.id)
+                await self.admin_client.delete_data_feed(data_feed.id)
+
+    @AzureTestCase.await_prepared_test
+    async def test_create_alert_config_whole_series_alert_direction_up(self):
+
+        detection_config, data_feed = await self._create_data_feed_and_detection_config("wholeseries")
+        alert_config_name = self.create_random_name("testalert")
+        async with self.admin_client:
+            try:
+                alert_config = await self.admin_client.create_alert_configuration(
+                    name=alert_config_name,
+                    metric_alert_configurations=[
+                        MetricAlertConfiguration(
+                            detection_configuration_id=detection_config.id,
+                            alert_scope=MetricAnomalyAlertScope(
+                                scope_type="WholeSeries"
+                            ),
+                            alert_conditions=MetricAnomalyAlertConditions(
+                                metric_boundary_condition=MetricBoundaryCondition(
+                                    direction="Up",
+                                    companion_metric_id=data_feed.metric_ids[0],
+                                    upper=5.0,
+                                )
+                            )
+                        )
+                    ],
+                    hook_ids=[]
+                )
+                self.assertIsNone(alert_config.cross_metrics_operator)
+                self.assertIsNotNone(alert_config.id)
+                self.assertIsNotNone(alert_config.name)
+                self.assertEqual(len(alert_config.metric_alert_configurations), 1)
+                self.assertIsNotNone(alert_config.metric_alert_configurations[0].detection_configuration_id)
+                self.assertFalse(alert_config.metric_alert_configurations[0].negation_operation)
+                self.assertEqual(alert_config.metric_alert_configurations[0].alert_scope.scope_type, "WholeSeries")
+                self.assertIsNotNone(
+                    alert_config.metric_alert_configurations[0].alert_conditions.metric_boundary_condition.companion_metric_id)
+                self.assertEqual(
+                    alert_config.metric_alert_configurations[0].alert_conditions.metric_boundary_condition.direction, "Up")
+                self.assertEqual(
+                    alert_config.metric_alert_configurations[0].alert_conditions.metric_boundary_condition.upper, 5.0)
+                self.assertIsNone(
+                    alert_config.metric_alert_configurations[0].alert_conditions.metric_boundary_condition.lower)
+                self.assertFalse(
+                    alert_config.metric_alert_configurations[0].alert_conditions.metric_boundary_condition.trigger_for_missing)
+
+                await self.admin_client.delete_alert_configuration(alert_config.id)
+
+                with self.assertRaises(ResourceNotFoundError):
+                    await self.admin_client.get_alert_configuration(alert_config.id)
+
+            finally:
+                await self.admin_client.delete_detection_configuration(detection_config.id)
+                await self.admin_client.delete_data_feed(data_feed.id)
+
+    @AzureTestCase.await_prepared_test
+    async def test_create_alert_config_whole_series_severity_condition(self):
+
+        detection_config, data_feed = await self._create_data_feed_and_detection_config("topnup")
+        alert_config_name = self.create_random_name("testalert")
+        async with self.admin_client:
+            try:
+                alert_config = await self.admin_client.create_alert_configuration(
+                    name=alert_config_name,
+                    metric_alert_configurations=[
+                        MetricAlertConfiguration(
+                            detection_configuration_id=detection_config.id,
+                            alert_scope=MetricAnomalyAlertScope(
+                                scope_type="WholeSeries"
+                            ),
+                            alert_conditions=MetricAnomalyAlertConditions(
+                                severity_condition=SeverityCondition(
+                                    min_alert_severity="Low",
+                                    max_alert_severity="High"
+                                )
+                            )
+                        )
+                    ],
+                    hook_ids=[]
+                )
+                self.assertIsNone(alert_config.cross_metrics_operator)
+                self.assertIsNotNone(alert_config.id)
+                self.assertIsNotNone(alert_config.name)
+                self.assertEqual(len(alert_config.metric_alert_configurations), 1)
+                self.assertIsNotNone(alert_config.metric_alert_configurations[0].detection_configuration_id)
+                self.assertFalse(alert_config.metric_alert_configurations[0].negation_operation)
+                self.assertEqual(alert_config.metric_alert_configurations[0].alert_scope.scope_type, "WholeSeries")
+                self.assertEqual(
+                    alert_config.metric_alert_configurations[0].alert_conditions.severity_condition.min_alert_severity, "Low")
+                self.assertEqual(
+                    alert_config.metric_alert_configurations[0].alert_conditions.severity_condition.max_alert_severity, "High")
+
+                await self.admin_client.delete_alert_configuration(alert_config.id)
+
+                with self.assertRaises(ResourceNotFoundError):
+                    await self.admin_client.get_alert_configuration(alert_config.id)
+
+            finally:
+                await self.admin_client.delete_detection_configuration(detection_config.id)
+                await self.admin_client.delete_data_feed(data_feed.id)
+
+    @AzureTestCase.await_prepared_test
+    async def test_create_alert_config_series_group_alert_direction_both(self):
+
+        detection_config, data_feed = await self._create_data_feed_and_detection_config("seriesgroup")
+        alert_config_name = self.create_random_name("testalert")
+        async with self.admin_client:
+            try:
+                alert_config = await self.admin_client.create_alert_configuration(
+                    name=alert_config_name,
+                    metric_alert_configurations=[
+                        MetricAlertConfiguration(
+                            detection_configuration_id=detection_config.id,
+                            alert_scope=MetricAnomalyAlertScope(
+                                scope_type="SeriesGroup",
+                                series_group_in_scope={'city': 'Shenzhen'}
+                            ),
+                            alert_conditions=MetricAnomalyAlertConditions(
+                                metric_boundary_condition=MetricBoundaryCondition(
+                                    direction="Both",
+                                    companion_metric_id=data_feed.metric_ids[0],
+                                    lower=1.0,
+                                    upper=5.0
+                                )
+                            )
+                        )
+                    ],
+                    hook_ids=[]
+                )
+                self.assertIsNone(alert_config.cross_metrics_operator)
+                self.assertIsNotNone(alert_config.id)
+                self.assertIsNotNone(alert_config.name)
+                self.assertEqual(len(alert_config.metric_alert_configurations), 1)
+                self.assertIsNotNone(alert_config.metric_alert_configurations[0].detection_configuration_id)
+                self.assertFalse(alert_config.metric_alert_configurations[0].negation_operation)
+                self.assertEqual(alert_config.metric_alert_configurations[0].alert_scope.scope_type, "SeriesGroup")
+                self.assertEqual(alert_config.metric_alert_configurations[0].alert_scope.series_group_in_scope, {'city': 'Shenzhen'})
+                self.assertIsNotNone(
+                    alert_config.metric_alert_configurations[0].alert_conditions.metric_boundary_condition.companion_metric_id)
+                self.assertEqual(
+                    alert_config.metric_alert_configurations[0].alert_conditions.metric_boundary_condition.upper, 5.0)
+                self.assertEqual(
+                    alert_config.metric_alert_configurations[0].alert_conditions.metric_boundary_condition.lower, 1.0)
+                self.assertEqual(
+                    alert_config.metric_alert_configurations[0].alert_conditions.metric_boundary_condition.direction, "Both")
+                self.assertFalse(
+                    alert_config.metric_alert_configurations[0].alert_conditions.metric_boundary_condition.trigger_for_missing)
+
+                await self.admin_client.delete_alert_configuration(alert_config.id)
+
+                with self.assertRaises(ResourceNotFoundError):
+                    await self.admin_client.get_alert_configuration(alert_config.id)
+
+            finally:
+                await self.admin_client.delete_detection_configuration(detection_config.id)
+                await self.admin_client.delete_data_feed(data_feed.id)
+
+    @AzureTestCase.await_prepared_test
+    async def test_create_alert_config_series_group_alert_direction_down(self):
+
+        detection_config, data_feed = await self._create_data_feed_and_detection_config("seriesgroup")
+        alert_config_name = self.create_random_name("testalert")
+        async with self.admin_client:
+            try:
+                alert_config = await self.admin_client.create_alert_configuration(
+                    name=alert_config_name,
+                    metric_alert_configurations=[
+                        MetricAlertConfiguration(
+                            detection_configuration_id=detection_config.id,
+                            alert_scope=MetricAnomalyAlertScope(
+                                scope_type="SeriesGroup",
+                                series_group_in_scope={'city': 'Shenzhen'}
+                            ),
+                            alert_conditions=MetricAnomalyAlertConditions(
+                                metric_boundary_condition=MetricBoundaryCondition(
+                                    direction="Down",
+                                    companion_metric_id=data_feed.metric_ids[0],
+                                    lower=1.0,
+                                )
+                            )
+                        )
+                    ],
+                    hook_ids=[]
+                )
+                self.assertIsNone(alert_config.cross_metrics_operator)
+                self.assertIsNotNone(alert_config.id)
+                self.assertIsNotNone(alert_config.name)
+                self.assertEqual(len(alert_config.metric_alert_configurations), 1)
+                self.assertIsNotNone(alert_config.metric_alert_configurations[0].detection_configuration_id)
+                self.assertFalse(alert_config.metric_alert_configurations[0].negation_operation)
+                self.assertEqual(alert_config.metric_alert_configurations[0].alert_scope.scope_type, "SeriesGroup")
+                self.assertEqual(alert_config.metric_alert_configurations[0].alert_scope.series_group_in_scope, {'city': 'Shenzhen'})
+                self.assertIsNotNone(
+                    alert_config.metric_alert_configurations[0].alert_conditions.metric_boundary_condition.companion_metric_id)
+                self.assertEqual(
+                    alert_config.metric_alert_configurations[0].alert_conditions.metric_boundary_condition.direction, "Down")
+                self.assertEqual(
+                    alert_config.metric_alert_configurations[0].alert_conditions.metric_boundary_condition.lower, 1.0)
+                self.assertIsNone(
+                    alert_config.metric_alert_configurations[0].alert_conditions.metric_boundary_condition.upper)
+                self.assertFalse(
+                    alert_config.metric_alert_configurations[0].alert_conditions.metric_boundary_condition.trigger_for_missing)
+
+                await self.admin_client.delete_alert_configuration(alert_config.id)
+
+                with self.assertRaises(ResourceNotFoundError):
+                    await self.admin_client.get_alert_configuration(alert_config.id)
+
+            finally:
+                await self.admin_client.delete_detection_configuration(detection_config.id)
+                await self.admin_client.delete_data_feed(data_feed.id)
+
+    @AzureTestCase.await_prepared_test
+    async def test_create_alert_config_series_group_alert_direction_up(self):
+
+        detection_config, data_feed = await self._create_data_feed_and_detection_config("seriesgroup")
+        alert_config_name = self.create_random_name("testalert")
+        async with self.admin_client:
+            try:
+                alert_config = await self.admin_client.create_alert_configuration(
+                    name=alert_config_name,
+                    metric_alert_configurations=[
+                        MetricAlertConfiguration(
+                            detection_configuration_id=detection_config.id,
+                            alert_scope=MetricAnomalyAlertScope(
+                                scope_type="SeriesGroup",
+                                series_group_in_scope={'city': 'Shenzhen'}
+                            ),
+                            alert_conditions=MetricAnomalyAlertConditions(
+                                metric_boundary_condition=MetricBoundaryCondition(
+                                    direction="Up",
+                                    companion_metric_id=data_feed.metric_ids[0],
+                                    upper=5.0,
+                                )
+                            )
+                        )
+                    ],
+                    hook_ids=[]
+                )
+                self.assertIsNone(alert_config.cross_metrics_operator)
+                self.assertIsNotNone(alert_config.id)
+                self.assertIsNotNone(alert_config.name)
+                self.assertEqual(len(alert_config.metric_alert_configurations), 1)
+                self.assertIsNotNone(alert_config.metric_alert_configurations[0].detection_configuration_id)
+                self.assertFalse(alert_config.metric_alert_configurations[0].negation_operation)
+                self.assertEqual(alert_config.metric_alert_configurations[0].alert_scope.scope_type, "SeriesGroup")
+                self.assertEqual(alert_config.metric_alert_configurations[0].alert_scope.series_group_in_scope, {'city': 'Shenzhen'})
+                self.assertIsNotNone(
+                    alert_config.metric_alert_configurations[0].alert_conditions.metric_boundary_condition.companion_metric_id)
+                self.assertEqual(
+                    alert_config.metric_alert_configurations[0].alert_conditions.metric_boundary_condition.direction, "Up")
+                self.assertEqual(
+                    alert_config.metric_alert_configurations[0].alert_conditions.metric_boundary_condition.upper, 5.0)
+                self.assertIsNone(
+                    alert_config.metric_alert_configurations[0].alert_conditions.metric_boundary_condition.lower)
+                self.assertFalse(
+                    alert_config.metric_alert_configurations[0].alert_conditions.metric_boundary_condition.trigger_for_missing)
+
+                await self.admin_client.delete_alert_configuration(alert_config.id)
+
+                with self.assertRaises(ResourceNotFoundError):
+                    await self.admin_client.get_alert_configuration(alert_config.id)
+
+            finally:
+                await self.admin_client.delete_detection_configuration(detection_config.id)
+                await self.admin_client.delete_data_feed(data_feed.id)
+
+    @AzureTestCase.await_prepared_test
+    async def test_create_alert_config_series_group_severity_condition(self):
+
+        detection_config, data_feed = await self._create_data_feed_and_detection_config("seriesgroupsev")
+        alert_config_name = self.create_random_name("testalert")
+        async with self.admin_client:
+            try:
+                alert_config = await self.admin_client.create_alert_configuration(
+                    name=alert_config_name,
+                    metric_alert_configurations=[
+                        MetricAlertConfiguration(
+                            detection_configuration_id=detection_config.id,
+                            alert_scope=MetricAnomalyAlertScope(
+                                scope_type="SeriesGroup",
+                                series_group_in_scope={'city': 'Shenzhen'}
+                            ),
+                            alert_conditions=MetricAnomalyAlertConditions(
+                                severity_condition=SeverityCondition(
+                                    min_alert_severity="Low",
+                                    max_alert_severity="High"
+                                )
+                            )
+                        )
+                    ],
+                    hook_ids=[]
+                )
+                self.assertIsNone(alert_config.cross_metrics_operator)
+                self.assertIsNotNone(alert_config.id)
+                self.assertIsNotNone(alert_config.name)
+                self.assertEqual(len(alert_config.metric_alert_configurations), 1)
+                self.assertIsNotNone(alert_config.metric_alert_configurations[0].detection_configuration_id)
+                self.assertFalse(alert_config.metric_alert_configurations[0].negation_operation)
+                self.assertEqual(alert_config.metric_alert_configurations[0].alert_scope.scope_type, "SeriesGroup")
+                self.assertEqual(alert_config.metric_alert_configurations[0].alert_scope.series_group_in_scope, {'city': 'Shenzhen'})
+                self.assertEqual(
+                    alert_config.metric_alert_configurations[0].alert_conditions.severity_condition.min_alert_severity, "Low")
+                self.assertEqual(
+                    alert_config.metric_alert_configurations[0].alert_conditions.severity_condition.max_alert_severity, "High")
+
+                await self.admin_client.delete_alert_configuration(alert_config.id)
+
+                with self.assertRaises(ResourceNotFoundError):
+                    await self.admin_client.get_alert_configuration(alert_config.id)
+
+            finally:
+                await self.admin_client.delete_detection_configuration(detection_config.id)
+                await self.admin_client.delete_data_feed(data_feed.id)
+
+    @AzureTestCase.await_prepared_test
+    async def test_create_alert_config_multiple_configurations(self):
+
+        detection_config, data_feed = await self._create_data_feed_and_detection_config("multiple")
+        alert_config_name = self.create_random_name("testalert")
+        async with self.admin_client:
+            try:
+                alert_config = await self.admin_client.create_alert_configuration(
+                    name=alert_config_name,
+                    cross_metrics_operator="AND",
+                    metric_alert_configurations=[
+                        MetricAlertConfiguration(
+                            detection_configuration_id=detection_config.id,
+                            alert_scope=MetricAnomalyAlertScope(
+                                scope_type="TopN",
+                                top_n_group_in_scope=TopNGroupScope(
+                                    top=5,
+                                    period=10,
+                                    min_top_count=9
+                                )
+                            ),
+                            alert_conditions=MetricAnomalyAlertConditions(
+                                metric_boundary_condition=MetricBoundaryCondition(
+                                    direction="Both",
+                                    companion_metric_id=data_feed.metric_ids[0],
+                                    lower=1.0,
+                                    upper=5.0
+                                )
+                            )
+                        ),
+                        MetricAlertConfiguration(
+                            detection_configuration_id=detection_config.id,
+                            alert_scope=MetricAnomalyAlertScope(
+                                scope_type="SeriesGroup",
+                                series_group_in_scope={'city': 'Shenzhen'}
+                            ),
+                            alert_conditions=MetricAnomalyAlertConditions(
+                                severity_condition=SeverityCondition(
+                                    min_alert_severity="Low",
+                                    max_alert_severity="High"
+                                )
+                            )
+                        ),
+                        MetricAlertConfiguration(
+                            detection_configuration_id=detection_config.id,
+                            alert_scope=MetricAnomalyAlertScope(
+                                scope_type="WholeSeries"
+                            ),
+                            alert_conditions=MetricAnomalyAlertConditions(
+                                severity_condition=SeverityCondition(
+                                    min_alert_severity="Low",
+                                    max_alert_severity="High"
+                                )
+                            )
+                        )
+                    ],
+                    hook_ids=[]
+                )
+                self.assertEqual(alert_config.cross_metrics_operator, "AND")
+                self.assertIsNotNone(alert_config.id)
+                self.assertIsNotNone(alert_config.name)
+                self.assertEqual(len(alert_config.metric_alert_configurations), 3)
+                self.assertIsNotNone(alert_config.metric_alert_configurations[0].detection_configuration_id)
+                self.assertFalse(alert_config.metric_alert_configurations[0].negation_operation)
+                self.assertEqual(alert_config.metric_alert_configurations[0].alert_scope.scope_type, "TopN")
+                self.assertEqual(
+                    alert_config.metric_alert_configurations[0].alert_scope.top_n_group_in_scope.min_top_count, 9)
+                self.assertEqual(alert_config.metric_alert_configurations[0].alert_scope.top_n_group_in_scope.period, 10)
+                self.assertEqual(alert_config.metric_alert_configurations[0].alert_scope.top_n_group_in_scope.top, 5)
+                self.assertIsNotNone(
+                    alert_config.metric_alert_configurations[0].alert_conditions.metric_boundary_condition.companion_metric_id)
+                self.assertEqual(
+                    alert_config.metric_alert_configurations[0].alert_conditions.metric_boundary_condition.upper, 5.0)
+                self.assertEqual(
+                    alert_config.metric_alert_configurations[0].alert_conditions.metric_boundary_condition.lower, 1.0)
+                self.assertEqual(
+                    alert_config.metric_alert_configurations[0].alert_conditions.metric_boundary_condition.direction, "Both")
+                self.assertFalse(
+                    alert_config.metric_alert_configurations[0].alert_conditions.metric_boundary_condition.trigger_for_missing)
+                self.assertEqual(alert_config.metric_alert_configurations[1].alert_scope.scope_type, "SeriesGroup")
+                self.assertEqual(
+                    alert_config.metric_alert_configurations[1].alert_conditions.severity_condition.min_alert_severity, "Low")
+                self.assertEqual(
+                    alert_config.metric_alert_configurations[1].alert_conditions.severity_condition.max_alert_severity, "High")
+                self.assertEqual(alert_config.metric_alert_configurations[2].alert_scope.scope_type, "WholeSeries")
+                self.assertEqual(
+                    alert_config.metric_alert_configurations[2].alert_conditions.severity_condition.min_alert_severity, "Low")
+                self.assertEqual(
+                    alert_config.metric_alert_configurations[2].alert_conditions.severity_condition.max_alert_severity, "High")
+
+                await self.admin_client.delete_alert_configuration(alert_config.id)
+
+                with self.assertRaises(ResourceNotFoundError):
+                    await self.admin_client.get_alert_configuration(alert_config.id)
+
+            finally:
+                await self.admin_client.delete_detection_configuration(detection_config.id)
+                await self.admin_client.delete_data_feed(data_feed.id)
+
+    @AzureTestCase.await_prepared_test
+    async def test_list_alert_configs(self):
+        async with self.admin_client:
+            configs = self.admin_client.list_alert_configurations(
+                detection_configuration_id=self.anomaly_detection_configuration_id
+            )
+            config_list = []
+            async for config in configs:
+                config_list.append(config)
+            assert len(list(config_list)) > 0
+
+    @AzureTestCase.await_prepared_test
+    async def test_update_alert_config_with_model(self):
+        async with self.admin_client:
+            try:
+                alert_config, data_feed, _ = await self._create_alert_config_for_update("alertupdate")
+
+                alert_config.name = "update"
+                alert_config.description = "update description"
+                alert_config.cross_metrics_operator = "OR"
+                alert_config.metric_alert_configurations[0].alert_conditions.severity_condition = \
+                    SeverityCondition(max_alert_severity="High", min_alert_severity="Low")
+                alert_config.metric_alert_configurations[1].alert_conditions.metric_boundary_condition = \
+                    MetricBoundaryCondition(
+                        direction="Both",
+                        upper=5,
+                        lower=1
+                    )
+                alert_config.metric_alert_configurations[2].alert_conditions.metric_boundary_condition = \
+                    MetricBoundaryCondition(
+                        direction="Both",
+                        upper=5,
+                        lower=1
+                    )
+
+                updated = await self.admin_client.update_alert_configuration(alert_config)
+
+                self.assertEqual(updated.name, "update")
+                self.assertEqual(updated.description, "update description")
+                self.assertEqual(updated.cross_metrics_operator, "OR")
+                self.assertEqual(updated.metric_alert_configurations[0].alert_conditions.severity_condition.max_alert_severity, "High")
+                self.assertEqual(updated.metric_alert_configurations[0].alert_conditions.severity_condition.min_alert_severity, "Low")
+                self.assertEqual(updated.metric_alert_configurations[1].alert_conditions.metric_boundary_condition.direction, "Both")
+                self.assertEqual(updated.metric_alert_configurations[1].alert_conditions.metric_boundary_condition.upper, 5)
+                self.assertEqual(updated.metric_alert_configurations[1].alert_conditions.metric_boundary_condition.lower, 1)
+                self.assertEqual(updated.metric_alert_configurations[2].alert_conditions.metric_boundary_condition.direction, "Both")
+                self.assertEqual(updated.metric_alert_configurations[2].alert_conditions.metric_boundary_condition.upper, 5)
+                self.assertEqual(updated.metric_alert_configurations[2].alert_conditions.metric_boundary_condition.lower, 1)
+
+            finally:
+                await self.admin_client.delete_data_feed(data_feed.id)
+
+    @AzureTestCase.await_prepared_test
+    async def test_update_alert_config_with_kwargs(self):
+        async with self.admin_client:
+            try:
+                alert_config, data_feed, detection_config = await self._create_alert_config_for_update("alertupdate")
+                updated = await self.admin_client.update_alert_configuration(
+                    alert_config.id,
+                    name="update",
+                    description="update description",
+                    cross_metrics_operator="OR",
+                    metric_alert_configurations=[
+                        MetricAlertConfiguration(
+                            detection_configuration_id=detection_config.id,
+                            alert_scope=MetricAnomalyAlertScope(
+                                scope_type="TopN",
+                                top_n_group_in_scope=TopNGroupScope(
+                                    top=5,
+                                    period=10,
+                                    min_top_count=9
+                                )
+                            ),
+                            alert_conditions=MetricAnomalyAlertConditions(
+                                metric_boundary_condition=MetricBoundaryCondition(
+                                    direction="Both",
+                                    companion_metric_id=data_feed.metric_ids[0],
+                                    lower=1.0,
+                                    upper=5.0
+                                ),
+                                severity_condition=SeverityCondition(max_alert_severity="High", min_alert_severity="Low")
+                            )
+                        ),
+                        MetricAlertConfiguration(
+                            detection_configuration_id=detection_config.id,
+                            alert_scope=MetricAnomalyAlertScope(
+                                scope_type="SeriesGroup",
+                                series_group_in_scope={'city': 'Shenzhen'}
+                            ),
+                            alert_conditions=MetricAnomalyAlertConditions(
+                                severity_condition=SeverityCondition(
+                                    min_alert_severity="Low",
+                                    max_alert_severity="High"
+                                ),
+                                metric_boundary_condition=MetricBoundaryCondition(
+                                    direction="Both",
+                                    upper=5,
+                                    lower=1
+                                )
+                            )
+                        ),
+                        MetricAlertConfiguration(
+                            detection_configuration_id=detection_config.id,
+                            alert_scope=MetricAnomalyAlertScope(
+                                scope_type="WholeSeries"
+                            ),
+                            alert_conditions=MetricAnomalyAlertConditions(
+                                severity_condition=SeverityCondition(
+                                    min_alert_severity="Low",
+                                    max_alert_severity="High"
+                                ),
+                                metric_boundary_condition=MetricBoundaryCondition(
+                                    direction="Both",
+                                    upper=5,
+                                    lower=1
+                                )
+                            )
+                        )
+                    ]
+                )
+
+                self.assertEqual(updated.name, "update")
+                self.assertEqual(updated.description, "update description")
+                self.assertEqual(updated.cross_metrics_operator, "OR")
+                self.assertEqual(updated.metric_alert_configurations[0].alert_conditions.severity_condition.max_alert_severity, "High")
+                self.assertEqual(updated.metric_alert_configurations[0].alert_conditions.severity_condition.min_alert_severity, "Low")
+                self.assertEqual(updated.metric_alert_configurations[1].alert_conditions.metric_boundary_condition.direction, "Both")
+                self.assertEqual(updated.metric_alert_configurations[1].alert_conditions.metric_boundary_condition.upper, 5)
+                self.assertEqual(updated.metric_alert_configurations[1].alert_conditions.metric_boundary_condition.lower, 1)
+                self.assertEqual(updated.metric_alert_configurations[2].alert_conditions.metric_boundary_condition.direction, "Both")
+                self.assertEqual(updated.metric_alert_configurations[2].alert_conditions.metric_boundary_condition.upper, 5)
+                self.assertEqual(updated.metric_alert_configurations[2].alert_conditions.metric_boundary_condition.lower, 1)
+
+            finally:
+                await self.admin_client.delete_data_feed(data_feed.id)
+
+    @AzureTestCase.await_prepared_test
+    async def test_update_alert_config_with_model_and_kwargs(self):
+        async with self.admin_client:
+            try:
+                alert_config, data_feed, detection_config = await self._create_alert_config_for_update("alertupdate")
+
+                alert_config.name = "updateMe"
+                alert_config.description = "updateMe"
+                alert_config.cross_metrics_operator = "don't update me"
+                alert_config.metric_alert_configurations[0].alert_conditions.severity_condition = None
+                alert_config.metric_alert_configurations[1].alert_conditions.metric_boundary_condition = None
+                alert_config.metric_alert_configurations[2].alert_conditions.metric_boundary_condition = None
+
+                updated = await self.admin_client.update_alert_configuration(
+                    alert_config,
+                    cross_metrics_operator="OR",
+                    metric_alert_configurations=[
+                        MetricAlertConfiguration(
+                            detection_configuration_id=detection_config.id,
+                            alert_scope=MetricAnomalyAlertScope(
+                                scope_type="TopN",
+                                top_n_group_in_scope=TopNGroupScope(
+                                    top=5,
+                                    period=10,
+                                    min_top_count=9
+                                )
+                            ),
+                            alert_conditions=MetricAnomalyAlertConditions(
+                                metric_boundary_condition=MetricBoundaryCondition(
+                                    direction="Both",
+                                    companion_metric_id=data_feed.metric_ids[0],
+                                    lower=1.0,
+                                    upper=5.0
+                                ),
+                                severity_condition=SeverityCondition(max_alert_severity="High", min_alert_severity="Low")
+                            )
+                        ),
+                        MetricAlertConfiguration(
+                            detection_configuration_id=detection_config.id,
+                            alert_scope=MetricAnomalyAlertScope(
+                                scope_type="SeriesGroup",
+                                series_group_in_scope={'city': 'Shenzhen'}
+                            ),
+                            alert_conditions=MetricAnomalyAlertConditions(
+                                severity_condition=SeverityCondition(
+                                    min_alert_severity="Low",
+                                    max_alert_severity="High"
+                                ),
+                                metric_boundary_condition=MetricBoundaryCondition(
+                                    direction="Both",
+                                    upper=5,
+                                    lower=1
+                                )
+                            )
+                        ),
+                        MetricAlertConfiguration(
+                            detection_configuration_id=detection_config.id,
+                            alert_scope=MetricAnomalyAlertScope(
+                                scope_type="WholeSeries"
+                            ),
+                            alert_conditions=MetricAnomalyAlertConditions(
+                                severity_condition=SeverityCondition(
+                                    min_alert_severity="Low",
+                                    max_alert_severity="High"
+                                ),
+                                metric_boundary_condition=MetricBoundaryCondition(
+                                    direction="Both",
+                                    upper=5,
+                                    lower=1
+                                )
+                            )
+                        )
+                    ]
+                )
+
+                self.assertEqual(updated.name, "updateMe")
+                self.assertEqual(updated.description, "updateMe")
+                self.assertEqual(updated.cross_metrics_operator, "OR")
+                self.assertEqual(updated.metric_alert_configurations[0].alert_conditions.severity_condition.max_alert_severity, "High")
+                self.assertEqual(updated.metric_alert_configurations[0].alert_conditions.severity_condition.min_alert_severity, "Low")
+                self.assertEqual(updated.metric_alert_configurations[1].alert_conditions.metric_boundary_condition.direction, "Both")
+                self.assertEqual(updated.metric_alert_configurations[1].alert_conditions.metric_boundary_condition.upper, 5)
+                self.assertEqual(updated.metric_alert_configurations[1].alert_conditions.metric_boundary_condition.lower, 1)
+                self.assertEqual(updated.metric_alert_configurations[2].alert_conditions.metric_boundary_condition.direction, "Both")
+                self.assertEqual(updated.metric_alert_configurations[2].alert_conditions.metric_boundary_condition.upper, 5)
+                self.assertEqual(updated.metric_alert_configurations[2].alert_conditions.metric_boundary_condition.lower, 1)
+
+            finally:
+                await self.admin_client.delete_data_feed(data_feed.id)
+
+    @AzureTestCase.await_prepared_test
+    async def test_update_anomaly_alert_by_resetting_properties(self):
+        async with self.admin_client:
+            try:
+                alert_config, data_feed, detection_config = await self._create_alert_config_for_update("alertupdate")
+                updated = await self.admin_client.update_alert_configuration(
+                    alert_config.id,
+                    name="reset",
+                    description="",  # can't pass None currently, bug says description is required
+                    metric_alert_configurations=[
+                        MetricAlertConfiguration(
+                            detection_configuration_id=detection_config.id,
+                            alert_scope=MetricAnomalyAlertScope(
+                                scope_type="TopN",
+                                top_n_group_in_scope=TopNGroupScope(
+                                    top=5,
+                                    period=10,
+                                    min_top_count=9
+                                )
+                            ),
+                            alert_conditions=None
+                        )
+                    ]
+                )
+
+                self.assertEqual(updated.name, "reset")
+                self.assertEqual(updated.description, "")
+                self.assertEqual(updated.cross_metrics_operator, None)
+                self.assertEqual(len(updated.metric_alert_configurations), 1)
+                self.assertEqual(updated.metric_alert_configurations[0].alert_conditions.severity_condition, None)
+                self.assertEqual(updated.metric_alert_configurations[0].alert_conditions.metric_boundary_condition, None)
+
+            finally:
+                await self.admin_client.delete_data_feed(data_feed.id)
diff --git a/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/async_tests/test_data_feed_ingestion_aad_async.py b/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/async_tests/test_data_feed_ingestion_aad_async.py
new file mode 100644
index 000000000000..d21acffbb992
--- /dev/null
+++ b/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/async_tests/test_data_feed_ingestion_aad_async.py
@@ -0,0 +1,71 @@
+# -------------------------------------------------------------------------
+# Copyright (c) Microsoft Corporation. All rights reserved.
+# Licensed under the MIT License. See License.txt in the project root for
+# license information.
+# --------------------------------------------------------------------------
+
+import datetime
+from dateutil.tz import tzutc
+import pytest
+from devtools_testutils import AzureTestCase
+
+from base_testcase_aad_async import TestMetricsAdvisorAdministrationClientBaseAsync
+
+
+class TestMetricsAdvisorAdministrationClientAsync(TestMetricsAdvisorAdministrationClientBaseAsync):
+
+    @AzureTestCase.await_prepared_test
+    async def test_get_data_feed_ingestion_progress(self):
+        async with self.admin_client:
+            ingestion = await self.admin_client.get_data_feed_ingestion_progress(
+                data_feed_id=self.data_feed_id
+            )
+            self.assertIsNotNone(ingestion.latest_success_timestamp)
+            self.assertIsNotNone(ingestion.latest_active_timestamp)
+
+    @AzureTestCase.await_prepared_test
+    async def test_list_data_feed_ingestion_status(self):
+        async with self.admin_client:
+            ingestions = self.admin_client.list_data_feed_ingestion_status(
+                data_feed_id=self.data_feed_id,
+                start_time=datetime.datetime(2020, 8, 9, tzinfo=tzutc()),
+                end_time=datetime.datetime(2020, 9, 16, tzinfo=tzutc()),
+            )
+            ingestions_list = []
+            async for status in ingestions:
+                ingestions_list.append(status)
+            assert len(list(ingestions_list)) > 0
+
+    @AzureTestCase.await_prepared_test
+    async def test_list_data_feed_ingestion_status_with_skip(self):
+        async with self.admin_client:
+            ingestions = self.admin_client.list_data_feed_ingestion_status(
+                data_feed_id=self.data_feed_id,
+                start_time=datetime.datetime(2020, 8, 9, tzinfo=tzutc()),
+                end_time=datetime.datetime(2020, 9, 16, tzinfo=tzutc()),
+            )
+
+            ingestions_with_skips = self.admin_client.list_data_feed_ingestion_status(
+                data_feed_id=self.data_feed_id,
+                start_time=datetime.datetime(2020, 8, 9, tzinfo=tzutc()),
+                end_time=datetime.datetime(2020, 9, 16, tzinfo=tzutc()),
+                skip=5
+            )
+            ingestions_list = []
+            async for status in ingestions:
+                ingestions_list.append(status)
+
+            ingestions_with_skips_list = []
+            async for status in ingestions_with_skips:
+                ingestions_with_skips_list.append(status)
+
+            assert len(ingestions_list) == len(ingestions_with_skips_list) + 5
+
+    @AzureTestCase.await_prepared_test
+    async def test_refresh_data_feed_ingestion(self):
+        async with self.admin_client:
+            await self.admin_client.refresh_data_feed_ingestion(
+                self.data_feed_id,
+                start_time=datetime.datetime(2020, 10, 1, tzinfo=tzutc()),
+                end_time=datetime.datetime(2020, 10, 2, tzinfo=tzutc()),
+            )
diff --git a/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/async_tests/test_data_feeds_aad_async.py b/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/async_tests/test_data_feeds_aad_async.py
new file mode 100644
index 000000000000..282f00d2a795
--- /dev/null
+++ b/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/async_tests/test_data_feeds_aad_async.py
@@ -0,0 +1,1096 @@
+# -------------------------------------------------------------------------
+# Copyright (c) Microsoft Corporation. All rights reserved.
+# Licensed under the MIT License. See License.txt in the project root for
+# license information.
+# --------------------------------------------------------------------------
+
+import datetime
+from dateutil.tz import tzutc
+import pytest
+from devtools_testutils import AzureTestCase
+from azure.core.exceptions import ResourceNotFoundError
+
+from azure.ai.metricsadvisor.models import (
+    SQLServerDataFeed,
+    AzureTableDataFeed,
+    AzureBlobDataFeed,
+    AzureCosmosDBDataFeed,
+    HttpRequestDataFeed,
+    DataFeedMetric,
+    DataFeedDimension,
+    DataFeedSchema,
+    DataFeedIngestionSettings,
+    DataFeedGranularity,
+    DataFeedOptions,
+    DataFeedMissingDataPointFillSettings,
+    DataFeedRollupSettings,
+    AzureApplicationInsightsDataFeed,
+    AzureDataExplorerDataFeed,
+    InfluxDBDataFeed,
+    AzureDataLakeStorageGen2DataFeed,
+    MongoDBDataFeed,
+    MySqlDataFeed,
+    PostgreSqlDataFeed,
+    ElasticsearchDataFeed,
+)
+from base_testcase_aad_async import TestMetricsAdvisorAdministrationClientBaseAsync
+
+
+class TestMetricsAdvisorAdministrationClientAsync(TestMetricsAdvisorAdministrationClientBaseAsync):
+
+    @AzureTestCase.await_prepared_test
+    async def test_create_simple_data_feed(self):
+        data_feed_name = self.create_random_name("testfeed")
+        async with self.admin_client:
+            try:
+                data_feed = await self.admin_client.create_data_feed(
+                    name=data_feed_name,
+                    source=SQLServerDataFeed(
+                        connection_string=self.sql_server_connection_string,
+                        query="select * from adsample2 where Timestamp = @StartTime"
+                    ),
+                    granularity="Daily",
+                    schema=["cost", "revenue"],
+                    ingestion_settings=datetime.datetime(2019, 10, 1)
+                )
+
+                self.assertIsNotNone(data_feed.id)
+                self.assertIsNotNone(data_feed.created_time)
+                self.assertIsNotNone(data_feed.name)
+                self.assertEqual(data_feed.source.data_source_type, "SqlServer")
+                self.assertIsNotNone(data_feed.source.connection_string)
+                self.assertIsNotNone(data_feed.source.query)
+                self.assertEqual(data_feed.granularity.granularity_type, "Daily")
+                self.assertEqual(data_feed.schema.metrics[0].name, "cost")
+                self.assertEqual(data_feed.schema.metrics[1].name, "revenue")
+                self.assertEqual(data_feed.ingestion_settings.ingestion_begin_time,
+                                 datetime.datetime(2019, 10, 1, tzinfo=tzutc()))
+            finally:
+                await self.admin_client.delete_data_feed(data_feed.id)
+
+    @AzureTestCase.await_prepared_test
+    async def test_create_data_feed_from_sql_server(self):
+
+        data_feed_name = self.create_random_name("testfeedasync")
+        async with self.admin_client:
+            try:
+                data_feed = await self.admin_client.create_data_feed(
+                    name=data_feed_name,
+                    source=SQLServerDataFeed(
+                        connection_string=self.sql_server_connection_string,
+                        query=u"select * from adsample2 where Timestamp = @StartTime"
+                    ),
+                    granularity=DataFeedGranularity(
+                        granularity_type="Daily",
+                    ),
+                    schema=DataFeedSchema(
+                        metrics=[
+                            DataFeedMetric(name="cost", display_name="display cost", description="the cost"),
+                            DataFeedMetric(name="revenue", display_name="display revenue", description="the revenue")
+                        ],
+                        dimensions=[
+                            DataFeedDimension(name="category", display_name="display category"),
+                            DataFeedDimension(name="city", display_name="display city")
+                        ],
+                        timestamp_column="Timestamp"
+                    ),
+                    ingestion_settings=DataFeedIngestionSettings(
+                        ingestion_begin_time=datetime.datetime(2019, 10, 1),
+                        data_source_request_concurrency=0,
+                        ingestion_retry_delay=-1,
+                        ingestion_start_offset=-1,
+                        stop_retry_after=-1,
+                    ),
+                    options=DataFeedOptions(
+                        admin_emails=["yournamehere@microsoft.com"],
+                        data_feed_description="my first data feed",
+                        missing_data_point_fill_settings=DataFeedMissingDataPointFillSettings(
+                            fill_type="SmartFilling"
+                        ),
+                        rollup_settings=DataFeedRollupSettings(
+                            rollup_type="NoRollup",
+                            rollup_method="None",
+                        ),
+                        viewer_emails=["viewers"],
+                        access_mode="Private",
+                        action_link_template="action link template"
+                    )
+
+                )
+                self.assertIsNotNone(data_feed.id)
+                self.assertIsNotNone(data_feed.created_time)
+                self.assertIsNotNone(data_feed.name)
+                self.assertEqual(data_feed.source.data_source_type, "SqlServer")
+                self.assertIsNotNone(data_feed.source.connection_string)
+                self.assertIsNotNone(data_feed.source.query)
+                self.assertEqual(data_feed.granularity.granularity_type, "Daily")
+                self.assertEqual(data_feed.granularity.custom_granularity_value, None)
+                self.assertEqual(data_feed.schema.metrics[0].name, "cost")
+                self.assertEqual(data_feed.schema.metrics[1].name, "revenue")
+                self.assertEqual(data_feed.schema.metrics[0].display_name, "display cost")
+                self.assertEqual(data_feed.schema.metrics[1].display_name, "display revenue")
+                self.assertEqual(data_feed.schema.metrics[0].description, "the cost")
+                self.assertEqual(data_feed.schema.metrics[1].description, "the revenue")
+                self.assertEqual(data_feed.schema.dimensions[0].name, "category")
+                self.assertEqual(data_feed.schema.dimensions[1].name, "city")
+                self.assertEqual(data_feed.schema.dimensions[0].display_name, "display category")
+                self.assertEqual(data_feed.schema.dimensions[1].display_name, "display city")
+                self.assertEqual(data_feed.ingestion_settings.ingestion_begin_time,
+                                 datetime.datetime(2019, 10, 1, tzinfo=tzutc()))
+                self.assertEqual(data_feed.ingestion_settings.data_source_request_concurrency, 0)
+                self.assertEqual(data_feed.ingestion_settings.ingestion_retry_delay, -1)
+                self.assertEqual(data_feed.ingestion_settings.ingestion_start_offset, -1)
+                self.assertEqual(data_feed.ingestion_settings.stop_retry_after, -1)
+                self.assertIn("yournamehere@microsoft.com", data_feed.options.admin_emails)
+                self.assertEqual(data_feed.options.data_feed_description, "my first data feed")
+                self.assertEqual(data_feed.options.missing_data_point_fill_settings.fill_type, "SmartFilling")
+                self.assertEqual(data_feed.options.rollup_settings.rollup_type, "NoRollup")
+                self.assertEqual(data_feed.options.rollup_settings.rollup_method, "None")
+                self.assertEqual(data_feed.options.viewer_emails, ["viewers"])
+                self.assertEqual(data_feed.options.access_mode, "Private")
+                self.assertEqual(data_feed.options.action_link_template, "action link template")
+                self.assertEqual(data_feed.status, "Active")
+                self.assertTrue(data_feed.is_admin)
+                self.assertIsNotNone(data_feed.metric_ids)
+
+            finally:
+                await self.admin_client.delete_data_feed(data_feed.id)
+
+                with self.assertRaises(ResourceNotFoundError):
+                    await self.admin_client.get_data_feed(data_feed.id)
+
+    @AzureTestCase.await_prepared_test
+    async def test_create_data_feed_from_sql_server_with_custom_values(self):
+
+        data_feed_name = self.create_random_name("testfeedasync")
+        async with self.admin_client:
+            try:
+                data_feed = await self.admin_client.create_data_feed(
+                    name=data_feed_name,
+                    source=SQLServerDataFeed(
+                        connection_string=self.sql_server_connection_string,
+                        query=u"select * from adsample2 where Timestamp = @StartTime"
+                    ),
+                    granularity=DataFeedGranularity(
+                        granularity_type="Custom",
+                        custom_granularity_value=20
+                    ),
+                    schema=DataFeedSchema(
+                        metrics=[
+                            DataFeedMetric(name="cost", display_name="display cost", description="the cost"),
+                            DataFeedMetric(name="revenue", display_name="display revenue", description="the revenue")
+                        ],
+                        dimensions=[
+                            DataFeedDimension(name="category", display_name="display category"),
+                            DataFeedDimension(name="city", display_name="display city")
+                        ],
+                        timestamp_column="Timestamp"
+                    ),
+                    ingestion_settings=DataFeedIngestionSettings(
+                        ingestion_begin_time=datetime.datetime(2019, 10, 1),
+                        data_source_request_concurrency=0,
+                        ingestion_retry_delay=-1,
+                        ingestion_start_offset=-1,
+                        stop_retry_after=-1,
+                    ),
+                    options=DataFeedOptions(
+                        admin_emails=["yournamehere@microsoft.com"],
+                        data_feed_description="my first data feed",
+                        missing_data_point_fill_settings=DataFeedMissingDataPointFillSettings(
+                            fill_type="CustomValue",
+                            custom_fill_value=10
+                        ),
+                        rollup_settings=DataFeedRollupSettings(
+                            rollup_type="AlreadyRollup",
+                            rollup_method="Sum",
+                            rollup_identification_value="sumrollup"
+                        ),
+                        viewer_emails=["viewers"],
+                        access_mode="Private",
+                        action_link_template="action link template"
+                    )
+
+                )
+                self.assertIsNotNone(data_feed.id)
+                self.assertIsNotNone(data_feed.created_time)
+                self.assertIsNotNone(data_feed.name)
+                self.assertEqual(data_feed.source.data_source_type, "SqlServer")
+                self.assertIsNotNone(data_feed.source.connection_string)
+                self.assertIsNotNone(data_feed.source.query)
+                self.assertEqual(data_feed.granularity.granularity_type, "Custom")
+                self.assertEqual(data_feed.granularity.custom_granularity_value, 20)
+                self.assertEqual(data_feed.schema.metrics[0].name, "cost")
+                self.assertEqual(data_feed.schema.metrics[1].name, "revenue")
+                self.assertEqual(data_feed.schema.metrics[0].display_name, "display cost")
+                self.assertEqual(data_feed.schema.metrics[1].display_name, "display revenue")
+                self.assertEqual(data_feed.schema.metrics[0].description, "the cost")
+                self.assertEqual(data_feed.schema.metrics[1].description, "the revenue")
+                self.assertEqual(data_feed.schema.dimensions[0].name, "category")
+                self.assertEqual(data_feed.schema.dimensions[1].name, "city")
+                self.assertEqual(data_feed.schema.dimensions[0].display_name, "display category")
+                self.assertEqual(data_feed.schema.dimensions[1].display_name, "display city")
+                self.assertEqual(data_feed.ingestion_settings.ingestion_begin_time,
+                                 datetime.datetime(2019, 10, 1, tzinfo=tzutc()))
+                self.assertEqual(data_feed.ingestion_settings.data_source_request_concurrency, 0)
+                self.assertEqual(data_feed.ingestion_settings.ingestion_retry_delay, -1)
+                self.assertEqual(data_feed.ingestion_settings.ingestion_start_offset, -1)
+                self.assertEqual(data_feed.ingestion_settings.stop_retry_after, -1)
+                self.assertIn("yournamehere@microsoft.com", data_feed.options.admin_emails)
+                self.assertEqual(data_feed.options.data_feed_description, "my first data feed")
+                self.assertEqual(data_feed.options.missing_data_point_fill_settings.fill_type, "CustomValue")
+                self.assertEqual(data_feed.options.missing_data_point_fill_settings.custom_fill_value, 10)
+                self.assertEqual(data_feed.options.rollup_settings.rollup_type, "AlreadyRollup")
+                self.assertEqual(data_feed.options.rollup_settings.rollup_method, "Sum")
+                self.assertEqual(data_feed.options.rollup_settings.rollup_identification_value, "sumrollup")
+                self.assertEqual(data_feed.options.viewer_emails, ["viewers"])
+                self.assertEqual(data_feed.options.access_mode, "Private")
+                self.assertEqual(data_feed.options.action_link_template, "action link template")
+                self.assertEqual(data_feed.status, "Active")
+                self.assertTrue(data_feed.is_admin)
+                self.assertIsNotNone(data_feed.metric_ids)
+
+            finally:
+                await self.admin_client.delete_data_feed(data_feed.id)
+
+                with self.assertRaises(ResourceNotFoundError):
+                    await self.admin_client.get_data_feed(data_feed.id)
+
+    @AzureTestCase.await_prepared_test
+    async def test_create_data_feed_with_azure_table(self):
+        name = self.create_random_name("tablefeedasync")
+        async with self.admin_client:
+            try:
+                data_feed = await self.admin_client.create_data_feed(
+                    name=name,
+                    source=AzureTableDataFeed(
+                        connection_string=self.azure_table_connection_string,
+                        query="PartitionKey ge '@StartTime' and PartitionKey lt '@EndTime'",
+                        table="adsample"
+                    ),
+                    granularity=DataFeedGranularity(
+                        granularity_type="Daily",
+                    ),
+                    schema=DataFeedSchema(
+                        metrics=[
+                            DataFeedMetric(name="cost"),
+                            DataFeedMetric(name="revenue")
+                        ],
+                        dimensions=[
+                            DataFeedDimension(name="category"),
+                            DataFeedDimension(name="city")
+                        ],
+                    ),
+                    ingestion_settings=DataFeedIngestionSettings(
+                        ingestion_begin_time=datetime.datetime(2019, 10, 1),
+                    ),
+
+                )
+
+                self.assertIsNotNone(data_feed.id)
+                self.assertIsNotNone(data_feed.created_time)
+                self.assertIsNotNone(data_feed.name)
+                self.assertEqual(data_feed.source.data_source_type, "AzureTable")
+                self.assertIsNotNone(data_feed.source.connection_string)
+                self.assertEqual(data_feed.source.table, "adsample")
+                self.assertEqual(data_feed.source.query, "PartitionKey ge '@StartTime' and PartitionKey lt '@EndTime'")
+            finally:
+                await self.admin_client.delete_data_feed(data_feed.id)
+
+    @AzureTestCase.await_prepared_test
+    async def test_create_data_feed_with_azure_blob(self):
+        name = self.create_random_name("blobfeedasync")
+        async with self.admin_client:
+            try:
+                data_feed = await self.admin_client.create_data_feed(
+                    name=name,
+                    source=AzureBlobDataFeed(
+                        connection_string=self.azure_blob_connection_string,
+                        container="adsample",
+                        blob_template="%Y/%m/%d/%h/JsonFormatV2.json"
+                    ),
+                    granularity=DataFeedGranularity(
+                        granularity_type="Daily",
+                    ),
+                    schema=DataFeedSchema(
+                        metrics=[
+                            DataFeedMetric(name="cost"),
+                            DataFeedMetric(name="revenue")
+                        ],
+                        dimensions=[
+                            DataFeedDimension(name="category"),
+                            DataFeedDimension(name="city")
+                        ],
+                    ),
+                    ingestion_settings=DataFeedIngestionSettings(
+                        ingestion_begin_time=datetime.datetime(2019, 10, 1),
+                    ),
+
+                )
+
+                self.assertIsNotNone(data_feed.id)
+                self.assertIsNotNone(data_feed.created_time)
+                self.assertIsNotNone(data_feed.name)
+                self.assertEqual(data_feed.source.data_source_type, "AzureBlob")
+                self.assertIsNotNone(data_feed.source.connection_string)
+                self.assertEqual(data_feed.source.container, "adsample")
+                self.assertEqual(data_feed.source.blob_template, "%Y/%m/%d/%h/JsonFormatV2.json")
+            finally:
+                await self.admin_client.delete_data_feed(data_feed.id)
+
+    @AzureTestCase.await_prepared_test
+    async def test_create_data_feed_with_azure_cosmos_db(self):
+        name = self.create_random_name("cosmosfeedasync")
+        async with self.admin_client:
+            try:
+                data_feed = await self.admin_client.create_data_feed(
+                    name=name,
+                    source=AzureCosmosDBDataFeed(
+                        connection_string=self.azure_cosmosdb_connection_string,
+                        sql_query="'SELECT * FROM Items I where I.Timestamp >= @StartTime and I.Timestamp < @EndTime'",
+                        database="adsample",
+                        collection_id="adsample"
+                    ),
+                    granularity=DataFeedGranularity(
+                        granularity_type="Daily",
+                    ),
+                    schema=DataFeedSchema(
+                        metrics=[
+                            DataFeedMetric(name="cost"),
+                            DataFeedMetric(name="revenue")
+                        ],
+                        dimensions=[
+                            DataFeedDimension(name="category"),
+                            DataFeedDimension(name="city")
+                        ],
+                    ),
+                    ingestion_settings=DataFeedIngestionSettings(
+                        ingestion_begin_time=datetime.datetime(2019, 10, 1),
+                    ),
+
+                )
+
+                self.assertIsNotNone(data_feed.id)
+                self.assertIsNotNone(data_feed.created_time)
+                self.assertIsNotNone(data_feed.name)
+                self.assertEqual(data_feed.source.data_source_type, "AzureCosmosDB")
+                self.assertIsNotNone(data_feed.source.connection_string)
+                self.assertEqual(data_feed.source.database, "adsample")
+                self.assertEqual(data_feed.source.collection_id, "adsample")
+                self.assertEqual(data_feed.source.sql_query, "'SELECT * FROM Items I where I.Timestamp >= @StartTime and I.Timestamp < @EndTime'")
+            finally:
+                await self.admin_client.delete_data_feed(data_feed.id)
+
+    @AzureTestCase.await_prepared_test
+    async def test_create_data_feed_with_http_request_get(self):
+        name = self.create_random_name("httprequestfeedgetasync")
+        async with self.admin_client:
+            try:
+                data_feed = await self.admin_client.create_data_feed(
+                    name=name,
+                    source=HttpRequestDataFeed(
+                        url=self.http_request_get_url,
+                        http_method="GET"
+                    ),
+                    granularity=DataFeedGranularity(
+                        granularity_type="Daily",
+                    ),
+                    schema=DataFeedSchema(
+                        metrics=[
+                            DataFeedMetric(name="cost"),
+                            DataFeedMetric(name="revenue")
+                        ],
+                        dimensions=[
+                            DataFeedDimension(name="category"),
+                            DataFeedDimension(name="city")
+                        ],
+                    ),
+                    ingestion_settings=DataFeedIngestionSettings(
+                        ingestion_begin_time=datetime.datetime(2019, 10, 1),
+                    ),
+
+                )
+
+                self.assertIsNotNone(data_feed.id)
+                self.assertIsNotNone(data_feed.created_time)
+                self.assertIsNotNone(data_feed.name)
+                self.assertEqual(data_feed.source.data_source_type, "HttpRequest")
+                self.assertIsNotNone(data_feed.source.url)
+                self.assertEqual(data_feed.source.http_method, "GET")
+
+            finally:
+                await self.admin_client.delete_data_feed(data_feed.id)
+
+    @AzureTestCase.await_prepared_test
+    async def test_create_data_feed_with_http_request_post(self):
+        name = self.create_random_name("httprequestfeedpostasync")
+        async with self.admin_client:
+            try:
+                data_feed = await self.admin_client.create_data_feed(
+                    name=name,
+                    source=HttpRequestDataFeed(
+                        url=self.http_request_post_url,
+                        http_method="POST",
+                        payload="{'startTime': '@StartTime'}"
+                    ),
+                    granularity=DataFeedGranularity(
+                        granularity_type="Daily",
+                    ),
+                    schema=DataFeedSchema(
+                        metrics=[
+                            DataFeedMetric(name="cost"),
+                            DataFeedMetric(name="revenue")
+                        ],
+                        dimensions=[
+                            DataFeedDimension(name="category"),
+                            DataFeedDimension(name="city")
+                        ],
+                    ),
+                    ingestion_settings=DataFeedIngestionSettings(
+                        ingestion_begin_time=datetime.datetime(2019, 10, 1),
+                    ),
+
+                )
+
+                self.assertIsNotNone(data_feed.id)
+                self.assertIsNotNone(data_feed.created_time)
+                self.assertIsNotNone(data_feed.name)
+                self.assertEqual(data_feed.source.data_source_type, "HttpRequest")
+                self.assertIsNotNone(data_feed.source.url)
+                self.assertEqual(data_feed.source.http_method, "POST")
+                self.assertEqual(data_feed.source.payload, "{'startTime': '@StartTime'}")
+            finally:
+                await self.admin_client.delete_data_feed(data_feed.id)
+
+    @AzureTestCase.await_prepared_test
+    async def test_create_data_feed_with_application_insights(self):
+        name = self.create_random_name("applicationinsightsasync")
+        async with self.admin_client:
+            try:
+                query = "let gran=60m; let starttime=datetime(@StartTime); let endtime=starttime + gran; requests | " \
+                    "where timestamp >= starttime and timestamp < endtime | summarize request_count = count(), " \
+                    "duration_avg_ms = avg(duration), duration_95th_ms = percentile(duration, 95), " \
+                    "duration_max_ms = max(duration) by resultCode"
+                data_feed = await self.admin_client.create_data_feed(
+                    name=name,
+                    source=AzureApplicationInsightsDataFeed(
+                        azure_cloud="Azure",
+                        application_id="3706fe8b-98f1-47c7-bf69-b73b6e53274d",
+                        api_key=self.application_insights_api_key,
+                        query=query
+                    ),
+                    granularity=DataFeedGranularity(
+                        granularity_type="Daily",
+                    ),
+                    schema=DataFeedSchema(
+                        metrics=[
+                            DataFeedMetric(name="cost"),
+                            DataFeedMetric(name="revenue")
+                        ],
+                        dimensions=[
+                            DataFeedDimension(name="category"),
+                            DataFeedDimension(name="city")
+                        ],
+                    ),
+                    ingestion_settings=DataFeedIngestionSettings(
+                        ingestion_begin_time=datetime.datetime(2020, 7, 1),
+                    ),
+
+                )
+
+                self.assertIsNotNone(data_feed.id)
+                self.assertIsNotNone(data_feed.created_time)
+                self.assertIsNotNone(data_feed.name)
+                self.assertEqual(data_feed.source.data_source_type, "AzureApplicationInsights")
+                self.assertIsNotNone(data_feed.source.api_key)
+                self.assertEqual(data_feed.source.application_id, "3706fe8b-98f1-47c7-bf69-b73b6e53274d")
+                self.assertIsNotNone(data_feed.source.query)
+
+            finally:
+                await self.admin_client.delete_data_feed(data_feed.id)
+
+    @AzureTestCase.await_prepared_test
+    async def test_create_data_feed_with_data_explorer(self):
+        name = self.create_random_name("azuredataexplorerasync")
+        async with self.admin_client:
+            try:
+                query = "let StartDateTime = datetime(@StartTime); let EndDateTime = StartDateTime + 1d; " \
+                        "adsample | where Timestamp >= StartDateTime and Timestamp < EndDateTime"
+                data_feed = await self.admin_client.create_data_feed(
+                    name=name,
+                    source=AzureDataExplorerDataFeed(
+                        connection_string=self.azure_data_explorer_connection_string,
+                        query=query
+                    ),
+                    granularity=DataFeedGranularity(
+                        granularity_type="Daily",
+                    ),
+                    schema=DataFeedSchema(
+                        metrics=[
+                            DataFeedMetric(name="cost"),
+                            DataFeedMetric(name="revenue")
+                        ],
+                        dimensions=[
+                            DataFeedDimension(name="category"),
+                            DataFeedDimension(name="city")
+                        ],
+                    ),
+                    ingestion_settings=DataFeedIngestionSettings(
+                        ingestion_begin_time=datetime.datetime(2019, 1, 1),
+                    ),
+
+                )
+
+                self.assertIsNotNone(data_feed.id)
+                self.assertIsNotNone(data_feed.created_time)
+                self.assertIsNotNone(data_feed.name)
+                self.assertEqual(data_feed.source.data_source_type, "AzureDataExplorer")
+                self.assertIsNotNone(data_feed.source.connection_string)
+                self.assertEqual(data_feed.source.query, query)
+
+            finally:
+                await self.admin_client.delete_data_feed(data_feed.id)
+
+    @AzureTestCase.await_prepared_test
+    async def test_create_data_feed_with_influxdb(self):
+        name = self.create_random_name("influxdbasync")
+        async with self.admin_client:
+            try:
+                data_feed = await self.admin_client.create_data_feed(
+                    name=name,
+                    source=InfluxDBDataFeed(
+                        connection_string=self.influxdb_connection_string,
+                        database="adsample",
+                        user_name="adreadonly",
+                        password=self.influxdb_password,
+                        query="'select * from adsample2 where Timestamp = @StartTime'"
+                    ),
+                    granularity=DataFeedGranularity(
+                        granularity_type="Daily",
+                    ),
+                    schema=DataFeedSchema(
+                        metrics=[
+                            DataFeedMetric(name="cost"),
+                            DataFeedMetric(name="revenue")
+                        ],
+                        dimensions=[
+                            DataFeedDimension(name="category"),
+                            DataFeedDimension(name="city")
+                        ],
+                    ),
+                    ingestion_settings=DataFeedIngestionSettings(
+                        ingestion_begin_time=datetime.datetime(2019, 1, 1),
+                    ),
+
+                )
+
+                self.assertIsNotNone(data_feed.id)
+                self.assertIsNotNone(data_feed.created_time)
+                self.assertIsNotNone(data_feed.name)
+                self.assertEqual(data_feed.source.data_source_type, "InfluxDB")
+                self.assertIsNotNone(data_feed.source.connection_string)
+                self.assertIsNotNone(data_feed.source.query)
+                self.assertIsNotNone(data_feed.source.password)
+                self.assertEqual(data_feed.source.database, "adsample")
+                self.assertEqual(data_feed.source.user_name, "adreadonly")
+
+            finally:
+                await self.admin_client.delete_data_feed(data_feed.id)
+
+    @AzureTestCase.await_prepared_test
+    async def test_create_data_feed_with_datalake(self):
+        name = self.create_random_name("datalakeasync")
+        async with self.admin_client:
+            try:
+                data_feed = await self.admin_client.create_data_feed(
+                    name=name,
+                    source=AzureDataLakeStorageGen2DataFeed(
+                        account_name="adsampledatalakegen2",
+                        account_key=self.azure_datalake_account_key,
+                        file_system_name="adsample",
+                        directory_template="%Y/%m/%d",
+                        file_template="adsample.json"
+                    ),
+                    granularity=DataFeedGranularity(
+                        granularity_type="Daily",
+                    ),
+                    schema=DataFeedSchema(
+                        metrics=[
+                            DataFeedMetric(name="cost", display_name="Cost"),
+                            DataFeedMetric(name="revenue", display_name="Revenue")
+                        ],
+                        dimensions=[
+                            DataFeedDimension(name="category", display_name="Category"),
+                            DataFeedDimension(name="city", display_name="City")
+                        ],
+                    ),
+                    ingestion_settings=DataFeedIngestionSettings(
+                        ingestion_begin_time=datetime.datetime(2019, 1, 1),
+                    ),
+
+                )
+
+                self.assertIsNotNone(data_feed.id)
+                self.assertIsNotNone(data_feed.created_time)
+                self.assertIsNotNone(data_feed.name)
+                self.assertEqual(data_feed.source.data_source_type, "AzureDataLakeStorageGen2")
+                self.assertIsNotNone(data_feed.source.account_key)
+                self.assertEqual(data_feed.source.account_name, "adsampledatalakegen2")
+                self.assertEqual(data_feed.source.file_system_name, "adsample")
+                self.assertEqual(data_feed.source.directory_template, "%Y/%m/%d")
+                self.assertEqual(data_feed.source.file_template, "adsample.json")
+
+            finally:
+                await self.admin_client.delete_data_feed(data_feed.id)
+
+    @AzureTestCase.await_prepared_test
+    async def test_create_data_feed_with_mongodb(self):
+        name = self.create_random_name("mongodbasync")
+        async with self.admin_client:
+            try:
+                data_feed = await self.admin_client.create_data_feed(
+                    name=name,
+                    source=MongoDBDataFeed(
+                        connection_string=self.mongodb_connection_string,
+                        database="adsample",
+                        command='{"find": "adsample", "filter": { Timestamp: { $eq: @StartTime }} "batchSize": 2000,}'
+                    ),
+                    granularity=DataFeedGranularity(
+                        granularity_type="Daily",
+                    ),
+                    schema=DataFeedSchema(
+                        metrics=[
+                            DataFeedMetric(name="cost"),
+                            DataFeedMetric(name="revenue")
+                        ],
+                        dimensions=[
+                            DataFeedDimension(name="category"),
+                            DataFeedDimension(name="city")
+                        ],
+                    ),
+                    ingestion_settings=DataFeedIngestionSettings(
+                        ingestion_begin_time=datetime.datetime(2019, 1, 1),
+                    ),
+
+                )
+
+                self.assertIsNotNone(data_feed.id)
+                self.assertIsNotNone(data_feed.created_time)
+                self.assertIsNotNone(data_feed.name)
+                self.assertEqual(data_feed.source.data_source_type, "MongoDB")
+                self.assertIsNotNone(data_feed.source.connection_string)
+                self.assertEqual(data_feed.source.database, "adsample")
+                self.assertEqual(data_feed.source.command, '{"find": "adsample", "filter": { Timestamp: { $eq: @StartTime }} "batchSize": 2000,}')
+
+            finally:
+                await self.admin_client.delete_data_feed(data_feed.id)
+
+    @AzureTestCase.await_prepared_test
+    async def test_create_data_feed_with_mysql(self):
+        name = self.create_random_name("mysqlasync")
+        async with self.admin_client:
+            try:
+                data_feed = await self.admin_client.create_data_feed(
+                    name=name,
+                    source=MySqlDataFeed(
+                        connection_string=self.mysql_connection_string,
+                        query="'select * from adsample2 where Timestamp = @StartTime'"
+                    ),
+                    granularity=DataFeedGranularity(
+                        granularity_type="Daily",
+                    ),
+                    schema=DataFeedSchema(
+                        metrics=[
+                            DataFeedMetric(name="cost"),
+                            DataFeedMetric(name="revenue")
+                        ],
+                        dimensions=[
+                            DataFeedDimension(name="category"),
+                            DataFeedDimension(name="city")
+                        ],
+                    ),
+                    ingestion_settings=DataFeedIngestionSettings(
+                        ingestion_begin_time=datetime.datetime(2019, 1, 1),
+                    ),
+
+                )
+
+                self.assertIsNotNone(data_feed.id)
+                self.assertIsNotNone(data_feed.created_time)
+                self.assertIsNotNone(data_feed.name)
+                self.assertEqual(data_feed.source.data_source_type, "MySql")
+                self.assertIsNotNone(data_feed.source.connection_string)
+                self.assertEqual(data_feed.source.query, "'select * from adsample2 where Timestamp = @StartTime'")
+
+            finally:
+                await self.admin_client.delete_data_feed(data_feed.id)
+
+    @AzureTestCase.await_prepared_test
+    async def test_create_data_feed_with_postgresql(self):
+        name = self.create_random_name("postgresqlasync")
+        async with self.admin_client:
+            try:
+                data_feed = await self.admin_client.create_data_feed(
+                    name=name,
+                    source=PostgreSqlDataFeed(
+                        connection_string=self.postgresql_connection_string,
+                        query="'select * from adsample2 where Timestamp = @StartTime'"
+                    ),
+                    granularity=DataFeedGranularity(
+                        granularity_type="Daily",
+                    ),
+                    schema=DataFeedSchema(
+                        metrics=[
+                            DataFeedMetric(name="cost"),
+                            DataFeedMetric(name="revenue")
+                        ],
+                        dimensions=[
+                            DataFeedDimension(name="category"),
+                            DataFeedDimension(name="city")
+                        ],
+                    ),
+                    ingestion_settings=DataFeedIngestionSettings(
+                        ingestion_begin_time=datetime.datetime(2019, 1, 1),
+                    ),
+
+                )
+
+                self.assertIsNotNone(data_feed.id)
+                self.assertIsNotNone(data_feed.created_time)
+                self.assertIsNotNone(data_feed.name)
+                self.assertEqual(data_feed.source.data_source_type, "PostgreSql")
+                self.assertIsNotNone(data_feed.source.connection_string)
+                self.assertEqual(data_feed.source.query, "'select * from adsample2 where Timestamp = @StartTime'")
+
+            finally:
+                await self.admin_client.delete_data_feed(data_feed.id)
+
+    @AzureTestCase.await_prepared_test
+    async def test_create_data_feed_with_elasticsearch(self):
+        name = self.create_random_name("elasticasync")
+        async with self.admin_client:
+            try:
+                data_feed = await self.admin_client.create_data_feed(
+                    name=name,
+                    source=ElasticsearchDataFeed(
+                        host="ad-sample-es.westus2.cloudapp.azure.com",
+                        port="9200",
+                        auth_header=self.elasticsearch_auth_header,
+                        query="'select * from adsample where timestamp = @StartTime'"
+                    ),
+                    granularity=DataFeedGranularity(
+                        granularity_type="Daily",
+                    ),
+                    schema=DataFeedSchema(
+                        metrics=[
+                            DataFeedMetric(name="cost", display_name="Cost"),
+                            DataFeedMetric(name="revenue", display_name="Revenue")
+                        ],
+                        dimensions=[
+                            DataFeedDimension(name="category", display_name="Category"),
+                            DataFeedDimension(name="city", display_name="City")
+                        ],
+                    ),
+                    ingestion_settings=DataFeedIngestionSettings(
+                        ingestion_begin_time=datetime.datetime(2019, 1, 1),
+                    ),
+
+                )
+
+                self.assertIsNotNone(data_feed.id)
+                self.assertIsNotNone(data_feed.created_time)
+                self.assertIsNotNone(data_feed.name)
+                self.assertEqual(data_feed.source.data_source_type, "Elasticsearch")
+                self.assertIsNotNone(data_feed.source.auth_header)
+                self.assertEqual(data_feed.source.port, "9200")
+                self.assertEqual(data_feed.source.host, "ad-sample-es.westus2.cloudapp.azure.com")
+                self.assertEqual(data_feed.source.query, "'select * from adsample where timestamp = @StartTime'")
+
+            finally:
+                await self.admin_client.delete_data_feed(data_feed.id)
+
+    @AzureTestCase.await_prepared_test
+    async def test_list_data_feeds(self):
+        async with self.admin_client:
+            feeds = self.admin_client.list_data_feeds()
+            feeds_list = []
+            async for item in feeds:
+                feeds_list.append(item)
+            assert len(feeds_list) > 0
+
+    @AzureTestCase.await_prepared_test
+    async def test_list_data_feeds_with_data_feed_name(self):
+        async with self.admin_client:
+            feeds = self.admin_client.list_data_feeds(data_feed_name="azsqlDatafeed")
+            feeds_list = []
+            async for item in feeds:
+                feeds_list.append(item)
+            assert len(feeds_list) == 1
+
+    @AzureTestCase.await_prepared_test
+    async def test_list_data_feeds_with_status(self):
+        async with self.admin_client:
+            feeds = self.admin_client.list_data_feeds(status="Paused")
+            feeds_list = []
+            async for item in feeds:
+                feeds_list.append(item)
+            assert len(feeds_list) == 0
+
+    @AzureTestCase.await_prepared_test
+    async def test_list_data_feeds_with_source_type(self):
+        async with self.admin_client:
+            feeds = self.admin_client.list_data_feeds(data_source_type="SqlServer")
+            feeds_list = []
+            async for item in feeds:
+                feeds_list.append(item)
+            assert len(feeds_list) > 0
+
+    @AzureTestCase.await_prepared_test
+    async def test_list_data_feeds_with_granularity_type(self):
+        async with self.admin_client:
+            feeds = self.admin_client.list_data_feeds(granularity_type="Daily")
+            feeds_list = []
+            async for item in feeds:
+                feeds_list.append(item)
+            assert len(feeds_list) > 0
+
+    @AzureTestCase.await_prepared_test
+    async def test_list_data_feeds_with_skip(self):
+        async with self.admin_client:
+            all_feeds = self.admin_client.list_data_feeds()
+            skipped_feeds = self.admin_client.list_data_feeds(skip=1)
+            all_feeds_list = []
+            skipped_feeds_list = []
+            async for feed in all_feeds:
+                all_feeds_list.append(feed)
+            async for feed in skipped_feeds:
+                skipped_feeds_list.append(feed)
+            assert len(all_feeds_list) == len(skipped_feeds_list) + 1
+
+    @AzureTestCase.await_prepared_test
+    async def test_update_data_feed_with_model(self):
+        async with self.admin_client:
+            data_feed = await self._create_data_feed_for_update("update")
+            try:
+                data_feed.name = "update"
+                data_feed.options.data_feed_description = "updated"
+                data_feed.schema.timestamp_column = "time"
+                data_feed.ingestion_settings.ingestion_begin_time = datetime.datetime(2020, 12, 10)
+                data_feed.ingestion_settings.ingestion_start_offset = 1
+                data_feed.ingestion_settings.data_source_request_concurrency = 1
+                data_feed.ingestion_settings.ingestion_retry_delay = 1
+                data_feed.ingestion_settings.stop_retry_after = 1
+                data_feed.options.rollup_settings.rollup_type = "AlreadyRollup"
+                data_feed.options.rollup_settings.rollup_method = "Sum"
+                data_feed.options.rollup_settings.rollup_identification_value = "sumrollup"
+                data_feed.options.rollup_settings.auto_rollup_group_by_column_names = []
+                data_feed.options.missing_data_point_fill_settings.fill_type = "CustomValue"
+                data_feed.options.missing_data_point_fill_settings.custom_fill_value = 2
+                data_feed.options.access_mode = "Public"
+                data_feed.options.viewer_emails = ["updated"]
+                data_feed.status = "Paused"
+                data_feed.options.action_link_template = "updated"
+                data_feed.source.connection_string = "updated"
+                data_feed.source.query = "get data"
+
+                updated = await self.admin_client.update_data_feed(data_feed)
+                self.assertEqual(updated.name, "update")
+                self.assertEqual(updated.options.data_feed_description, "updated")
+                self.assertEqual(updated.schema.timestamp_column, "time")
+                self.assertEqual(updated.ingestion_settings.ingestion_begin_time,
+                                 datetime.datetime(2020, 12, 10, tzinfo=tzutc()))
+                self.assertEqual(updated.ingestion_settings.ingestion_start_offset, 1)
+                self.assertEqual(updated.ingestion_settings.data_source_request_concurrency, 1)
+                self.assertEqual(updated.ingestion_settings.ingestion_retry_delay, 1)
+                self.assertEqual(updated.ingestion_settings.stop_retry_after, 1)
+                self.assertEqual(updated.options.rollup_settings.rollup_type, "AlreadyRollup")
+                self.assertEqual(updated.options.rollup_settings.rollup_method, "Sum")
+                self.assertEqual(updated.options.rollup_settings.rollup_identification_value, "sumrollup")
+                self.assertEqual(updated.options.rollup_settings.auto_rollup_group_by_column_names, [])
+                self.assertEqual(updated.options.missing_data_point_fill_settings.fill_type, "CustomValue")
+                self.assertEqual(updated.options.missing_data_point_fill_settings.custom_fill_value, 2)
+                self.assertEqual(updated.options.access_mode, "Public")
+                self.assertEqual(updated.options.viewer_emails, ["updated"])
+                self.assertEqual(updated.status, "Paused")
+                self.assertEqual(updated.options.action_link_template, "updated")
+                self.assertEqual(updated.source.connection_string, "updated")
+                self.assertEqual(updated.source.query, "get data")
+
+            finally:
+                await self.admin_client.delete_data_feed(data_feed.id)
+
+    @AzureTestCase.await_prepared_test
+    async def test_update_data_feed_with_kwargs(self):
+        async with self.admin_client:
+            data_feed = await self._create_data_feed_for_update("update")
+            try:
+                updated = await self.admin_client.update_data_feed(
+                    data_feed.id,
+                    name="update",
+                    data_feed_description="updated",
+                    timestamp_column="time",
+                    ingestion_begin_time=datetime.datetime(2020, 12, 10),
+                    ingestion_start_offset=1,
+                    data_source_request_concurrency=1,
+                    ingestion_retry_delay=1,
+                    stop_retry_after=1,
+                    rollup_type="AlreadyRollup",
+                    rollup_method="Sum",
+                    rollup_identification_value="sumrollup",
+                    auto_rollup_group_by_column_names=[],
+                    fill_type="CustomValue",
+                    custom_fill_value=2,
+                    access_mode="Public",
+                    viewer_emails=["updated"],
+                    status="Paused",
+                    action_link_template="updated",
+                    source=SQLServerDataFeed(
+                        connection_string="updated",
+                        query="get data"
+                    )
+                )
+                self.assertEqual(updated.name, "update")
+                self.assertEqual(updated.options.data_feed_description, "updated")
+                self.assertEqual(updated.schema.timestamp_column, "time")
+                self.assertEqual(updated.ingestion_settings.ingestion_begin_time,
+                                 datetime.datetime(2020, 12, 10, tzinfo=tzutc()))
+                self.assertEqual(updated.ingestion_settings.ingestion_start_offset, 1)
+                self.assertEqual(updated.ingestion_settings.data_source_request_concurrency, 1)
+                self.assertEqual(updated.ingestion_settings.ingestion_retry_delay, 1)
+                self.assertEqual(updated.ingestion_settings.stop_retry_after, 1)
+                self.assertEqual(updated.options.rollup_settings.rollup_type, "AlreadyRollup")
+                self.assertEqual(updated.options.rollup_settings.rollup_method, "Sum")
+                self.assertEqual(updated.options.rollup_settings.rollup_identification_value, "sumrollup")
+                self.assertEqual(updated.options.rollup_settings.auto_rollup_group_by_column_names, [])
+                self.assertEqual(updated.options.missing_data_point_fill_settings.fill_type, "CustomValue")
+                self.assertEqual(updated.options.missing_data_point_fill_settings.custom_fill_value, 2)
+                self.assertEqual(updated.options.access_mode, "Public")
+                self.assertEqual(updated.options.viewer_emails, ["updated"])
+                self.assertEqual(updated.status, "Paused")
+                self.assertEqual(updated.options.action_link_template, "updated")
+                self.assertEqual(updated.source.connection_string, "updated")
+                self.assertEqual(updated.source.query, "get data")
+
+            finally:
+                await self.admin_client.delete_data_feed(data_feed.id)
+
+    @AzureTestCase.await_prepared_test
+    async def test_update_data_feed_with_model_and_kwargs(self):
+        async with self.admin_client:
+            data_feed = await self._create_data_feed_for_update("update")
+            try:
+                data_feed.name = "updateMe"
+                data_feed.options.data_feed_description = "updateMe"
+                data_feed.schema.timestamp_column = "don't update me"
+                data_feed.ingestion_settings.ingestion_begin_time = datetime.datetime(2020, 12, 22)
+                data_feed.ingestion_settings.ingestion_start_offset = 2
+                data_feed.ingestion_settings.data_source_request_concurrency = 2
+                data_feed.ingestion_settings.ingestion_retry_delay = 2
+                data_feed.ingestion_settings.stop_retry_after = 2
+                data_feed.options.rollup_settings.rollup_type = "don't update me"
+                data_feed.options.rollup_settings.rollup_method = "don't update me"
+                data_feed.options.rollup_settings.rollup_identification_value = "don't update me"
+                data_feed.options.rollup_settings.auto_rollup_group_by_column_names = []
+                data_feed.options.missing_data_point_fill_settings.fill_type = "don't update me"
+                data_feed.options.missing_data_point_fill_settings.custom_fill_value = 4
+                data_feed.options.access_mode = "don't update me"
+                data_feed.options.viewer_emails = ["don't update me"]
+                data_feed.status = "don't update me"
+                data_feed.options.action_link_template = "don't update me"
+                data_feed.source.connection_string = "don't update me"
+                data_feed.source.query = "don't update me"
+
+                updated = await self.admin_client.update_data_feed(
+                    data_feed,
+                    timestamp_column="time",
+                    ingestion_begin_time=datetime.datetime(2020, 12, 10),
+                    ingestion_start_offset=1,
+                    data_source_request_concurrency=1,
+                    ingestion_retry_delay=1,
+                    stop_retry_after=1,
+                    rollup_type="AlreadyRollup",
+                    rollup_method="Sum",
+                    rollup_identification_value="sumrollup",
+                    auto_rollup_group_by_column_names=[],
+                    fill_type="CustomValue",
+                    custom_fill_value=2,
+                    access_mode="Public",
+                    viewer_emails=["updated"],
+                    status="Paused",
+                    action_link_template="updated",
+                    source=SQLServerDataFeed(
+                        connection_string="updated",
+                        query="get data"
+                    )
+                )
+                self.assertEqual(updated.name, "updateMe")
+                self.assertEqual(updated.options.data_feed_description, "updateMe")
+                self.assertEqual(updated.schema.timestamp_column, "time")
+                self.assertEqual(updated.ingestion_settings.ingestion_begin_time,
+                                 datetime.datetime(2020, 12, 10, tzinfo=tzutc()))
+                self.assertEqual(updated.ingestion_settings.ingestion_start_offset, 1)
+                self.assertEqual(updated.ingestion_settings.data_source_request_concurrency, 1)
+                self.assertEqual(updated.ingestion_settings.ingestion_retry_delay, 1)
+                self.assertEqual(updated.ingestion_settings.stop_retry_after, 1)
+                self.assertEqual(updated.options.rollup_settings.rollup_type, "AlreadyRollup")
+                self.assertEqual(updated.options.rollup_settings.rollup_method, "Sum")
+                self.assertEqual(updated.options.rollup_settings.rollup_identification_value, "sumrollup")
+                self.assertEqual(updated.options.rollup_settings.auto_rollup_group_by_column_names, [])
+                self.assertEqual(updated.options.missing_data_point_fill_settings.fill_type, "CustomValue")
+                self.assertEqual(updated.options.missing_data_point_fill_settings.custom_fill_value, 2)
+                self.assertEqual(updated.options.access_mode, "Public")
+                self.assertEqual(updated.options.viewer_emails, ["updated"])
+                self.assertEqual(updated.status, "Paused")
+                self.assertEqual(updated.options.action_link_template, "updated")
+                self.assertEqual(updated.source.connection_string, "updated")
+                self.assertEqual(updated.source.query, "get data")
+
+            finally:
+                await self.admin_client.delete_data_feed(data_feed.id)
+
+    @AzureTestCase.await_prepared_test
+    async def test_update_data_feed_by_reseting_properties(self):
+        async with self.admin_client:
+            data_feed = await self._create_data_feed_for_update("update")
+            try:
+                updated = await self.admin_client.update_data_feed(
+                    data_feed.id,
+                    name="update",
+                    data_feed_description=None,
+                    timestamp_column=None,
+                    ingestion_start_offset=None,
+                    data_source_request_concurrency=None,
+                    ingestion_retry_delay=None,
+                    stop_retry_after=None,
+                    rollup_type=None,
+                    rollup_method=None,
+                    rollup_identification_value=None,
+                    auto_rollup_group_by_column_names=None,
+                    fill_type=None,
+                    custom_fill_value=None,
+                    access_mode=None,
+                    viewer_emails=None,
+                    status=None,
+                    action_link_template=None,
+                )
+                self.assertEqual(updated.name, "update")
+                # self.assertEqual(updated.options.data_feed_description, "")  # doesn't currently clear
+                # self.assertEqual(updated.schema.timestamp_column, "")  # doesn't currently clear
+                self.assertEqual(updated.ingestion_settings.ingestion_begin_time,
+                                 datetime.datetime(2019, 10, 1, tzinfo=tzutc()))
+                self.assertEqual(updated.ingestion_settings.ingestion_start_offset, -1)
+                self.assertEqual(updated.ingestion_settings.data_source_request_concurrency, 0)
+                self.assertEqual(updated.ingestion_settings.ingestion_retry_delay, -1)
+                self.assertEqual(updated.ingestion_settings.stop_retry_after, -1)
+                self.assertEqual(updated.options.rollup_settings.rollup_type, "NoRollup")
+                self.assertEqual(updated.options.rollup_settings.rollup_method, "None")
+                self.assertEqual(updated.options.rollup_settings.rollup_identification_value, None)
+                self.assertEqual(updated.options.rollup_settings.auto_rollup_group_by_column_names, [])
+                self.assertEqual(updated.options.missing_data_point_fill_settings.fill_type, "SmartFilling")
+                self.assertEqual(updated.options.missing_data_point_fill_settings.custom_fill_value, 0)
+                self.assertEqual(updated.options.access_mode, "Private")
+                # self.assertEqual(updated.options.viewer_emails, ["viewers"]) # doesn't currently clear
+                self.assertEqual(updated.status, "Active")
+                # self.assertEqual(updated.options.action_link_template, "updated")  # doesn't currently clear
+
+            finally:
+                await self.admin_client.delete_data_feed(data_feed.id)
diff --git a/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/async_tests/test_detection_config_aad_async.py b/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/async_tests/test_detection_config_aad_async.py
new file mode 100644
index 000000000000..a18942188254
--- /dev/null
+++ b/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/async_tests/test_detection_config_aad_async.py
@@ -0,0 +1,826 @@
+# -------------------------------------------------------------------------
+# Copyright (c) Microsoft Corporation. All rights reserved.
+# Licensed under the MIT License. See License.txt in the project root for
+# license information.
+# --------------------------------------------------------------------------
+
+import pytest
+from devtools_testutils import AzureTestCase
+from azure.core.exceptions import ResourceNotFoundError
+
+from azure.ai.metricsadvisor.models import (
+    MetricDetectionCondition,
+    MetricSeriesGroupDetectionCondition,
+    MetricSingleSeriesDetectionCondition,
+    SmartDetectionCondition,
+    SuppressCondition,
+    ChangeThresholdCondition,
+    HardThresholdCondition,
+)
+
+from base_testcase_aad_async import TestMetricsAdvisorAdministrationClientBaseAsync
+
+
+class TestMetricsAdvisorAdministrationClientAsync(TestMetricsAdvisorAdministrationClientBaseAsync):
+
+    @AzureTestCase.await_prepared_test
+    async def test_create_ad_config_whole_series_detection(self):
+
+        data_feed = await self._create_data_feed("adconfigasync")
+        async with self.admin_client:
+            try:
+                detection_config_name = self.create_random_name("testdetectionconfigasync")
+                config = await self.admin_client.create_detection_configuration(
+                    name=detection_config_name,
+                    metric_id=data_feed.metric_ids[0],
+                    description="My test metric anomaly detection configuration",
+                    whole_series_detection_condition=MetricDetectionCondition(
+                        cross_conditions_operator="OR",
+                        smart_detection_condition=SmartDetectionCondition(
+                            sensitivity=50,
+                            anomaly_detector_direction="Both",
+                            suppress_condition=SuppressCondition(
+                                min_number=50,
+                                min_ratio=50
+                            )
+                        ),
+                        hard_threshold_condition=HardThresholdCondition(
+                            anomaly_detector_direction="Both",
+                            suppress_condition=SuppressCondition(
+                                min_number=5,
+                                min_ratio=5
+                            ),
+                            lower_bound=0,
+                            upper_bound=100
+                        ),
+                        change_threshold_condition=ChangeThresholdCondition(
+                            change_percentage=50,
+                            shift_point=30,
+                            within_range=True,
+                            anomaly_detector_direction="Both",
+                            suppress_condition=SuppressCondition(
+                                min_number=2,
+                                min_ratio=2
+                            )
+                        )
+                    )
+                )
+                self.assertIsNotNone(config.id)
+                self.assertEqual(config.metric_id, data_feed.metric_ids[0])
+                self.assertEqual(config.description, "My test metric anomaly detection configuration")
+                self.assertIsNotNone(config.name)
+                self.assertIsNone(config.series_detection_conditions)
+                self.assertIsNone(config.series_group_detection_conditions)
+                self.assertEqual(config.whole_series_detection_condition.cross_conditions_operator, "OR")
+                self.assertEqual(
+                    config.whole_series_detection_condition.change_threshold_condition.anomaly_detector_direction, "Both")
+                self.assertEqual(config.whole_series_detection_condition.change_threshold_condition.change_percentage, 50)
+                self.assertEqual(config.whole_series_detection_condition.change_threshold_condition.shift_point, 30)
+                self.assertTrue(config.whole_series_detection_condition.change_threshold_condition.within_range)
+                self.assertEqual(
+                    config.whole_series_detection_condition.change_threshold_condition.suppress_condition.min_number, 2)
+                self.assertEqual(
+                    config.whole_series_detection_condition.change_threshold_condition.suppress_condition.min_ratio, 2)
+                self.assertEqual(
+                    config.whole_series_detection_condition.hard_threshold_condition.anomaly_detector_direction, "Both")
+                self.assertEqual(config.whole_series_detection_condition.hard_threshold_condition.lower_bound, 0)
+                self.assertEqual(config.whole_series_detection_condition.hard_threshold_condition.upper_bound, 100)
+                self.assertEqual(
+                    config.whole_series_detection_condition.hard_threshold_condition.suppress_condition.min_number, 5)
+                self.assertEqual(
+                    config.whole_series_detection_condition.hard_threshold_condition.suppress_condition.min_ratio, 5)
+                self.assertEqual(
+                    config.whole_series_detection_condition.smart_detection_condition.anomaly_detector_direction, "Both")
+                self.assertEqual(config.whole_series_detection_condition.smart_detection_condition.sensitivity, 50)
+                self.assertEqual(
+                    config.whole_series_detection_condition.smart_detection_condition.suppress_condition.min_number, 50)
+                self.assertEqual(
+                    config.whole_series_detection_condition.smart_detection_condition.suppress_condition.min_ratio, 50)
+
+                await self.admin_client.delete_detection_configuration(config.id)
+
+                with self.assertRaises(ResourceNotFoundError):
+                    await self.admin_client.get_detection_configuration(config.id)
+            finally:
+                await self.admin_client.delete_data_feed(data_feed.id)
+
+    @AzureTestCase.await_prepared_test
+    async def test_create_ad_config_with_series_and_group_conds(self):
+        data_feed = await self._create_data_feed("adconfiggetasync")
+        async with self.admin_client:
+            try:
+                detection_config_name = self.create_random_name("testdetectionconfigetasync")
+                detection_config = await self.admin_client.create_detection_configuration(
+                    name=detection_config_name,
+                    metric_id=data_feed.metric_ids[0],
+                    description="My test metric anomaly detection configuration",
+                    whole_series_detection_condition=MetricDetectionCondition(
+                        cross_conditions_operator="AND",
+                        smart_detection_condition=SmartDetectionCondition(
+                            sensitivity=50,
+                            anomaly_detector_direction="Both",
+                            suppress_condition=SuppressCondition(
+                                min_number=50,
+                                min_ratio=50
+                            )
+                        ),
+                        hard_threshold_condition=HardThresholdCondition(
+                            anomaly_detector_direction="Both",
+                            suppress_condition=SuppressCondition(
+                                min_number=5,
+                                min_ratio=5
+                            ),
+                            lower_bound=0,
+                            upper_bound=100
+                        ),
+                        change_threshold_condition=ChangeThresholdCondition(
+                            change_percentage=50,
+                            shift_point=30,
+                            within_range=True,
+                            anomaly_detector_direction="Both",
+                            suppress_condition=SuppressCondition(
+                                min_number=2,
+                                min_ratio=2
+                            )
+                        )
+                    ),
+                    series_detection_conditions=[MetricSingleSeriesDetectionCondition(
+                        series_key={"city": "Shenzhen", "category": "Jewelry"},
+                        smart_detection_condition=SmartDetectionCondition(
+                            anomaly_detector_direction="Both",
+                            sensitivity=63,
+                            suppress_condition=SuppressCondition(
+                                min_number=1,
+                                min_ratio=100
+                            )
+                        )
+                    )],
+                    series_group_detection_conditions=[MetricSeriesGroupDetectionCondition(
+                        series_group_key={"city": "Sao Paulo"},
+                        smart_detection_condition=SmartDetectionCondition(
+                            anomaly_detector_direction="Both",
+                            sensitivity=63,
+                            suppress_condition=SuppressCondition(
+                                min_number=1,
+                                min_ratio=100
+                            )
+                        )
+                    )]
+                )
+
+                self.assertIsNotNone(detection_config.id)
+                self.assertEqual(detection_config.metric_id, data_feed.metric_ids[0])
+                self.assertEqual(detection_config.description, "My test metric anomaly detection configuration")
+                self.assertIsNotNone(detection_config.name)
+                self.assertEqual(detection_config.whole_series_detection_condition.cross_conditions_operator, "AND")
+                self.assertEqual(
+                    detection_config.whole_series_detection_condition.change_threshold_condition.anomaly_detector_direction, "Both")
+                self.assertEqual(detection_config.whole_series_detection_condition.change_threshold_condition.change_percentage, 50)
+                self.assertEqual(detection_config.whole_series_detection_condition.change_threshold_condition.shift_point, 30)
+                self.assertTrue(detection_config.whole_series_detection_condition.change_threshold_condition.within_range)
+                self.assertEqual(
+                    detection_config.whole_series_detection_condition.change_threshold_condition.suppress_condition.min_number, 2)
+                self.assertEqual(
+                    detection_config.whole_series_detection_condition.change_threshold_condition.suppress_condition.min_ratio, 2)
+                self.assertEqual(
+                    detection_config.whole_series_detection_condition.hard_threshold_condition.anomaly_detector_direction, "Both")
+                self.assertEqual(detection_config.whole_series_detection_condition.hard_threshold_condition.lower_bound, 0)
+                self.assertEqual(detection_config.whole_series_detection_condition.hard_threshold_condition.upper_bound, 100)
+                self.assertEqual(
+                    detection_config.whole_series_detection_condition.hard_threshold_condition.suppress_condition.min_number, 5)
+                self.assertEqual(
+                    detection_config.whole_series_detection_condition.hard_threshold_condition.suppress_condition.min_ratio, 5)
+                self.assertEqual(
+                    detection_config.whole_series_detection_condition.smart_detection_condition.anomaly_detector_direction, "Both")
+                self.assertEqual(detection_config.whole_series_detection_condition.smart_detection_condition.sensitivity, 50)
+                self.assertEqual(
+                    detection_config.whole_series_detection_condition.smart_detection_condition.suppress_condition.min_number, 50)
+                self.assertEqual(
+                    detection_config.whole_series_detection_condition.smart_detection_condition.suppress_condition.min_ratio, 50)
+                self.assertEqual(
+                    detection_config.series_detection_conditions[0].smart_detection_condition.suppress_condition.min_ratio, 100)
+                self.assertEqual(
+                    detection_config.series_detection_conditions[0].smart_detection_condition.suppress_condition.min_number, 1)
+                self.assertEqual(
+                    detection_config.series_detection_conditions[0].smart_detection_condition.sensitivity, 63)
+                self.assertEqual(
+                    detection_config.series_detection_conditions[0].smart_detection_condition.anomaly_detector_direction, "Both")
+                self.assertEqual(
+                    detection_config.series_detection_conditions[0].series_key, {'city': 'Shenzhen', 'category': 'Jewelry'})
+                self.assertEqual(
+                    detection_config.series_group_detection_conditions[0].smart_detection_condition.suppress_condition.min_ratio, 100)
+                self.assertEqual(
+                    detection_config.series_group_detection_conditions[0].smart_detection_condition.suppress_condition.min_number, 1)
+                self.assertEqual(
+                    detection_config.series_group_detection_conditions[0].smart_detection_condition.sensitivity, 63)
+                self.assertEqual(
+                    detection_config.series_group_detection_conditions[0].smart_detection_condition.anomaly_detector_direction, "Both")
+                self.assertEqual(
+                    detection_config.series_group_detection_conditions[0].series_group_key, {'city': 'Sao Paulo'})
+
+            finally:
+                await self.admin_client.delete_data_feed(data_feed.id)
+
+    @AzureTestCase.await_prepared_test
+    async def test_create_ad_config_multiple_series_and_group_conds(self):
+        data_feed = await self._create_data_feed("datafeedconfigasync")
+        async with self.admin_client:
+            try:
+                detection_config_name = self.create_random_name("multipledetectionconfigsasync")
+                detection_config = await self.admin_client.create_detection_configuration(
+                    name=detection_config_name,
+                    metric_id=data_feed.metric_ids[0],
+                    description="My test metric anomaly detection configuration",
+                    whole_series_detection_condition=MetricDetectionCondition(
+                        cross_conditions_operator="AND",
+                        smart_detection_condition=SmartDetectionCondition(
+                            sensitivity=50,
+                            anomaly_detector_direction="Both",
+                            suppress_condition=SuppressCondition(
+                                min_number=50,
+                                min_ratio=50
+                            )
+                        ),
+                        hard_threshold_condition=HardThresholdCondition(
+                            anomaly_detector_direction="Both",
+                            suppress_condition=SuppressCondition(
+                                min_number=5,
+                                min_ratio=5
+                            ),
+                            lower_bound=0,
+                            upper_bound=100
+                        ),
+                        change_threshold_condition=ChangeThresholdCondition(
+                            change_percentage=50,
+                            shift_point=30,
+                            within_range=True,
+                            anomaly_detector_direction="Both",
+                            suppress_condition=SuppressCondition(
+                                min_number=2,
+                                min_ratio=2
+                            )
+                        )
+                    ),
+                    series_detection_conditions=[
+                        MetricSingleSeriesDetectionCondition(
+                            series_key={"city": "Shenzhen", "category": "Jewelry"},
+                            cross_conditions_operator="AND",
+                            smart_detection_condition=SmartDetectionCondition(
+                                anomaly_detector_direction="Both",
+                                sensitivity=63,
+                                suppress_condition=SuppressCondition(
+                                    min_number=1,
+                                    min_ratio=100
+                                )
+                            ),
+                            hard_threshold_condition=HardThresholdCondition(
+                                anomaly_detector_direction="Both",
+                                suppress_condition=SuppressCondition(
+                                    min_number=5,
+                                    min_ratio=5
+                                ),
+                                lower_bound=0,
+                                upper_bound=100
+                            ),
+                            change_threshold_condition=ChangeThresholdCondition(
+                                change_percentage=50,
+                                shift_point=30,
+                                within_range=True,
+                                anomaly_detector_direction="Both",
+                                suppress_condition=SuppressCondition(
+                                    min_number=2,
+                                    min_ratio=2
+                                )
+                            )
+                        ),
+                        MetricSingleSeriesDetectionCondition(
+                            series_key={"city": "Osaka", "category": "Cell Phones"},
+                            cross_conditions_operator="AND",
+                            smart_detection_condition=SmartDetectionCondition(
+                                anomaly_detector_direction="Both",
+                                sensitivity=63,
+                                suppress_condition=SuppressCondition(
+                                    min_number=1,
+                                    min_ratio=100
+                                )
+                            )
+                        )
+                    ],
+                    series_group_detection_conditions=[
+                        MetricSeriesGroupDetectionCondition(
+                            series_group_key={"city": "Sao Paulo"},
+                            cross_conditions_operator="AND",
+                            smart_detection_condition=SmartDetectionCondition(
+                                anomaly_detector_direction="Both",
+                                sensitivity=63,
+                                suppress_condition=SuppressCondition(
+                                    min_number=1,
+                                    min_ratio=100
+                                )
+                            ),
+                            hard_threshold_condition=HardThresholdCondition(
+                                anomaly_detector_direction="Both",
+                                suppress_condition=SuppressCondition(
+                                    min_number=5,
+                                    min_ratio=5
+                                ),
+                                lower_bound=0,
+                                upper_bound=100
+                            ),
+                            change_threshold_condition=ChangeThresholdCondition(
+                                change_percentage=50,
+                                shift_point=30,
+                                within_range=True,
+                                anomaly_detector_direction="Both",
+                                suppress_condition=SuppressCondition(
+                                    min_number=2,
+                                    min_ratio=2
+                                )
+                            )
+                        ),
+                        MetricSeriesGroupDetectionCondition(
+                            series_group_key={"city": "Seoul"},
+                            cross_conditions_operator="AND",
+                            smart_detection_condition=SmartDetectionCondition(
+                                anomaly_detector_direction="Both",
+                                sensitivity=63,
+                                suppress_condition=SuppressCondition(
+                                    min_number=1,
+                                    min_ratio=100
+                                )
+                            )
+                        )
+                    ]
+                )
+
+                self.assertIsNotNone(detection_config.id)
+                self.assertEqual(detection_config.metric_id, data_feed.metric_ids[0])
+                self.assertEqual(detection_config.description, "My test metric anomaly detection configuration")
+                self.assertIsNotNone(detection_config.name)
+
+                # whole series detection condition
+                self.assertEqual(detection_config.whole_series_detection_condition.cross_conditions_operator, "AND")
+                self.assertEqual(
+                    detection_config.whole_series_detection_condition.change_threshold_condition.anomaly_detector_direction, "Both")
+                self.assertEqual(detection_config.whole_series_detection_condition.change_threshold_condition.change_percentage, 50)
+                self.assertEqual(detection_config.whole_series_detection_condition.change_threshold_condition.shift_point, 30)
+                self.assertTrue(detection_config.whole_series_detection_condition.change_threshold_condition.within_range)
+                self.assertEqual(
+                    detection_config.whole_series_detection_condition.change_threshold_condition.suppress_condition.min_number, 2)
+                self.assertEqual(
+                    detection_config.whole_series_detection_condition.change_threshold_condition.suppress_condition.min_ratio, 2)
+                self.assertEqual(
+                    detection_config.whole_series_detection_condition.hard_threshold_condition.anomaly_detector_direction, "Both")
+                self.assertEqual(detection_config.whole_series_detection_condition.hard_threshold_condition.lower_bound, 0)
+                self.assertEqual(detection_config.whole_series_detection_condition.hard_threshold_condition.upper_bound, 100)
+                self.assertEqual(
+                    detection_config.whole_series_detection_condition.hard_threshold_condition.suppress_condition.min_number, 5)
+                self.assertEqual(
+                    detection_config.whole_series_detection_condition.hard_threshold_condition.suppress_condition.min_ratio, 5)
+                self.assertEqual(
+                    detection_config.whole_series_detection_condition.smart_detection_condition.anomaly_detector_direction, "Both")
+                self.assertEqual(detection_config.whole_series_detection_condition.smart_detection_condition.sensitivity, 50)
+                self.assertEqual(
+                    detection_config.whole_series_detection_condition.smart_detection_condition.suppress_condition.min_number, 50)
+                self.assertEqual(
+                    detection_config.whole_series_detection_condition.smart_detection_condition.suppress_condition.min_ratio, 50)
+
+                # series detection conditions
+                self.assertEqual(
+                    detection_config.series_detection_conditions[0].series_key, {'city': 'Shenzhen', 'category': 'Jewelry'})
+                self.assertEqual(detection_config.series_detection_conditions[0].cross_conditions_operator, "AND")
+                self.assertEqual(
+                    detection_config.series_detection_conditions[0].smart_detection_condition.suppress_condition.min_ratio, 100)
+                self.assertEqual(
+                    detection_config.series_detection_conditions[0].smart_detection_condition.suppress_condition.min_number, 1)
+                self.assertEqual(
+                    detection_config.series_detection_conditions[0].smart_detection_condition.sensitivity, 63)
+                self.assertEqual(
+                    detection_config.series_detection_conditions[0].smart_detection_condition.anomaly_detector_direction, "Both")
+                self.assertEqual(
+                    detection_config.series_detection_conditions[0].change_threshold_condition.anomaly_detector_direction, "Both")
+                self.assertEqual(detection_config.series_detection_conditions[0].change_threshold_condition.change_percentage, 50)
+                self.assertEqual(detection_config.series_detection_conditions[0].change_threshold_condition.shift_point, 30)
+                self.assertTrue(detection_config.series_detection_conditions[0].change_threshold_condition.within_range)
+                self.assertEqual(
+                    detection_config.series_detection_conditions[0].change_threshold_condition.suppress_condition.min_number, 2)
+                self.assertEqual(
+                    detection_config.series_detection_conditions[0].change_threshold_condition.suppress_condition.min_ratio, 2)
+                self.assertEqual(
+                    detection_config.series_detection_conditions[0].hard_threshold_condition.anomaly_detector_direction, "Both")
+                self.assertEqual(detection_config.series_detection_conditions[0].hard_threshold_condition.lower_bound, 0)
+                self.assertEqual(detection_config.series_detection_conditions[0].hard_threshold_condition.upper_bound, 100)
+                self.assertEqual(
+                    detection_config.series_detection_conditions[0].hard_threshold_condition.suppress_condition.min_number, 5)
+                self.assertEqual(
+                    detection_config.series_detection_conditions[0].hard_threshold_condition.suppress_condition.min_ratio, 5)
+                self.assertEqual(
+                    detection_config.series_detection_conditions[1].series_key, {"city": "Osaka", "category": "Cell Phones"})
+                self.assertEqual(
+                    detection_config.series_detection_conditions[1].smart_detection_condition.suppress_condition.min_ratio, 100)
+                self.assertEqual(
+                    detection_config.series_detection_conditions[1].smart_detection_condition.suppress_condition.min_number, 1)
+                self.assertEqual(
+                    detection_config.series_detection_conditions[1].smart_detection_condition.sensitivity, 63)
+                self.assertEqual(
+                    detection_config.series_detection_conditions[1].smart_detection_condition.anomaly_detector_direction, "Both")
+
+                # series group detection conditions
+                self.assertEqual(
+                    detection_config.series_group_detection_conditions[0].series_group_key, {"city": "Sao Paulo"})
+                self.assertEqual(detection_config.series_group_detection_conditions[0].cross_conditions_operator, "AND")
+                self.assertEqual(
+                    detection_config.series_group_detection_conditions[0].smart_detection_condition.suppress_condition.min_ratio, 100)
+                self.assertEqual(
+                    detection_config.series_group_detection_conditions[0].smart_detection_condition.suppress_condition.min_number, 1)
+                self.assertEqual(
+                    detection_config.series_group_detection_conditions[0].smart_detection_condition.sensitivity, 63)
+                self.assertEqual(
+                    detection_config.series_group_detection_conditions[0].smart_detection_condition.anomaly_detector_direction, "Both")
+                self.assertEqual(
+                    detection_config.series_group_detection_conditions[0].change_threshold_condition.anomaly_detector_direction, "Both")
+                self.assertEqual(detection_config.series_group_detection_conditions[0].change_threshold_condition.change_percentage, 50)
+                self.assertEqual(detection_config.series_group_detection_conditions[0].change_threshold_condition.shift_point, 30)
+                self.assertTrue(detection_config.series_group_detection_conditions[0].change_threshold_condition.within_range)
+                self.assertEqual(
+                    detection_config.series_group_detection_conditions[0].change_threshold_condition.suppress_condition.min_number, 2)
+                self.assertEqual(
+                    detection_config.series_group_detection_conditions[0].change_threshold_condition.suppress_condition.min_ratio, 2)
+                self.assertEqual(
+                    detection_config.series_group_detection_conditions[0].hard_threshold_condition.anomaly_detector_direction, "Both")
+                self.assertEqual(detection_config.series_group_detection_conditions[0].hard_threshold_condition.lower_bound, 0)
+                self.assertEqual(detection_config.series_group_detection_conditions[0].hard_threshold_condition.upper_bound, 100)
+                self.assertEqual(
+                    detection_config.series_group_detection_conditions[0].hard_threshold_condition.suppress_condition.min_number, 5)
+                self.assertEqual(
+                    detection_config.series_group_detection_conditions[0].hard_threshold_condition.suppress_condition.min_ratio, 5)
+                self.assertEqual(
+                    detection_config.series_group_detection_conditions[1].series_group_key, {"city": "Seoul"})
+                self.assertEqual(
+                    detection_config.series_group_detection_conditions[1].smart_detection_condition.suppress_condition.min_ratio, 100)
+                self.assertEqual(
+                    detection_config.series_group_detection_conditions[1].smart_detection_condition.suppress_condition.min_number, 1)
+                self.assertEqual(
+                    detection_config.series_group_detection_conditions[1].smart_detection_condition.sensitivity, 63)
+                self.assertEqual(
+                    detection_config.series_group_detection_conditions[1].smart_detection_condition.anomaly_detector_direction, "Both")
+
+            finally:
+                await self.admin_client.delete_data_feed(data_feed.id)
+
+    @AzureTestCase.await_prepared_test
+    async def test_list_detection_configs(self):
+        async with self.admin_client:
+            configs = self.admin_client.list_detection_configurations(metric_id=self.metric_id)
+            configs_list = []
+            async for config in configs:
+                configs_list.append(config)
+            assert len(configs_list) > 0
+
+    @AzureTestCase.await_prepared_test
+    async def test_update_detection_config_with_model(self):
+        async with self.admin_client:
+            try:
+                detection_config, data_feed = await self._create_detection_config_for_update("updatedetection")
+
+                detection_config.name = "updated"
+                detection_config.description = "updated"
+                change_threshold_condition = ChangeThresholdCondition(
+                    anomaly_detector_direction="Both",
+                    change_percentage=20,
+                    shift_point=10,
+                    within_range=True,
+                    suppress_condition=SuppressCondition(
+                        min_number=5,
+                        min_ratio=2
+                    )
+                )
+                hard_threshold_condition = HardThresholdCondition(
+                    anomaly_detector_direction="Up",
+                    upper_bound=100,
+                    suppress_condition=SuppressCondition(
+                        min_number=5,
+                        min_ratio=2
+                    )
+                )
+                smart_detection_condition = SmartDetectionCondition(
+                    anomaly_detector_direction="Up",
+                    sensitivity=10,
+                    suppress_condition=SuppressCondition(
+                        min_number=5,
+                        min_ratio=2
+                    )
+                )
+                detection_config.series_detection_conditions[0].change_threshold_condition = change_threshold_condition
+                detection_config.series_detection_conditions[0].hard_threshold_condition = hard_threshold_condition
+                detection_config.series_detection_conditions[0].smart_detection_condition = smart_detection_condition
+                detection_config.series_detection_conditions[0].cross_conditions_operator = "AND"
+                detection_config.series_group_detection_conditions[0].change_threshold_condition = change_threshold_condition
+                detection_config.series_group_detection_conditions[0].hard_threshold_condition = hard_threshold_condition
+                detection_config.series_group_detection_conditions[0].smart_detection_condition = smart_detection_condition
+                detection_config.series_group_detection_conditions[0].cross_conditions_operator = "AND"
+                detection_config.whole_series_detection_condition.hard_threshold_condition = hard_threshold_condition
+                detection_config.whole_series_detection_condition.smart_detection_condition = smart_detection_condition
+                detection_config.whole_series_detection_condition.change_threshold_condition = change_threshold_condition
+                detection_config.whole_series_detection_condition.cross_conditions_operator = "OR"
+
+                updated = await self.admin_client.update_detection_configuration(detection_config)
+
+                self.assertEqual(updated.name, "updated")
+                self.assertEqual(updated.description, "updated")
+                self.assertEqual(updated.series_detection_conditions[0].change_threshold_condition.anomaly_detector_direction, "Both")
+                self.assertEqual(updated.series_detection_conditions[0].change_threshold_condition.change_percentage, 20)
+                self.assertEqual(updated.series_detection_conditions[0].change_threshold_condition.shift_point, 10)
+                self.assertTrue(updated.series_detection_conditions[0].change_threshold_condition.within_range)
+                self.assertEqual(updated.series_detection_conditions[0].change_threshold_condition.suppress_condition.min_number, 5)
+                self.assertEqual(updated.series_detection_conditions[0].change_threshold_condition.suppress_condition.min_ratio, 2)
+                self.assertEqual(updated.series_detection_conditions[0].hard_threshold_condition.anomaly_detector_direction, "Up")
+                self.assertEqual(updated.series_detection_conditions[0].hard_threshold_condition.upper_bound, 100)
+                self.assertEqual(updated.series_detection_conditions[0].hard_threshold_condition.suppress_condition.min_number, 5)
+                self.assertEqual(updated.series_detection_conditions[0].hard_threshold_condition.suppress_condition.min_ratio, 2)
+                self.assertEqual(updated.series_detection_conditions[0].smart_detection_condition.anomaly_detector_direction, "Up")
+                self.assertEqual(updated.series_detection_conditions[0].smart_detection_condition.sensitivity, 10)
+                self.assertEqual(updated.series_detection_conditions[0].smart_detection_condition.suppress_condition.min_number, 5)
+                self.assertEqual(updated.series_detection_conditions[0].smart_detection_condition.suppress_condition.min_ratio, 2)
+                self.assertEqual(updated.series_detection_conditions[0].cross_conditions_operator, "AND")
+
+                self.assertEqual(updated.series_group_detection_conditions[0].change_threshold_condition.anomaly_detector_direction, "Both")
+                self.assertEqual(updated.series_group_detection_conditions[0].change_threshold_condition.change_percentage, 20)
+                self.assertEqual(updated.series_group_detection_conditions[0].change_threshold_condition.shift_point, 10)
+                self.assertTrue(updated.series_group_detection_conditions[0].change_threshold_condition.within_range)
+                self.assertEqual(updated.series_group_detection_conditions[0].change_threshold_condition.suppress_condition.min_number, 5)
+                self.assertEqual(updated.series_group_detection_conditions[0].change_threshold_condition.suppress_condition.min_ratio, 2)
+                self.assertEqual(updated.series_group_detection_conditions[0].hard_threshold_condition.anomaly_detector_direction, "Up")
+                self.assertEqual(updated.series_group_detection_conditions[0].hard_threshold_condition.upper_bound, 100)
+                self.assertEqual(updated.series_group_detection_conditions[0].hard_threshold_condition.suppress_condition.min_number, 5)
+                self.assertEqual(updated.series_group_detection_conditions[0].hard_threshold_condition.suppress_condition.min_ratio, 2)
+                self.assertEqual(updated.series_group_detection_conditions[0].smart_detection_condition.anomaly_detector_direction, "Up")
+                self.assertEqual(updated.series_group_detection_conditions[0].smart_detection_condition.sensitivity, 10)
+                self.assertEqual(updated.series_group_detection_conditions[0].smart_detection_condition.suppress_condition.min_number, 5)
+                self.assertEqual(updated.series_group_detection_conditions[0].smart_detection_condition.suppress_condition.min_ratio, 2)
+                self.assertEqual(updated.series_group_detection_conditions[0].cross_conditions_operator, "AND")
+
+                self.assertEqual(updated.whole_series_detection_condition.change_threshold_condition.anomaly_detector_direction, "Both")
+                self.assertEqual(updated.whole_series_detection_condition.change_threshold_condition.change_percentage, 20)
+                self.assertEqual(updated.whole_series_detection_condition.change_threshold_condition.shift_point, 10)
+                self.assertTrue(updated.whole_series_detection_condition.change_threshold_condition.within_range)
+                self.assertEqual(updated.whole_series_detection_condition.change_threshold_condition.suppress_condition.min_number, 5)
+                self.assertEqual(updated.whole_series_detection_condition.change_threshold_condition.suppress_condition.min_ratio, 2)
+                self.assertEqual(updated.whole_series_detection_condition.hard_threshold_condition.anomaly_detector_direction, "Up")
+                self.assertEqual(updated.whole_series_detection_condition.hard_threshold_condition.upper_bound, 100)
+                self.assertEqual(updated.whole_series_detection_condition.hard_threshold_condition.suppress_condition.min_number, 5)
+                self.assertEqual(updated.whole_series_detection_condition.hard_threshold_condition.suppress_condition.min_ratio, 2)
+                self.assertEqual(updated.whole_series_detection_condition.smart_detection_condition.anomaly_detector_direction, "Up")
+                self.assertEqual(updated.whole_series_detection_condition.smart_detection_condition.sensitivity, 10)
+                self.assertEqual(updated.whole_series_detection_condition.smart_detection_condition.suppress_condition.min_number, 5)
+                self.assertEqual(updated.whole_series_detection_condition.smart_detection_condition.suppress_condition.min_ratio, 2)
+                self.assertEqual(updated.whole_series_detection_condition.cross_conditions_operator, "OR")
+            finally:
+                await self.admin_client.delete_data_feed(data_feed.id)
+
+    @AzureTestCase.await_prepared_test
+    async def test_update_detection_config_with_kwargs(self):
+        async with self.admin_client:
+            try:
+                detection_config, data_feed = await self._create_detection_config_for_update("updatedetection")
+                change_threshold_condition = ChangeThresholdCondition(
+                    anomaly_detector_direction="Both",
+                    change_percentage=20,
+                    shift_point=10,
+                    within_range=True,
+                    suppress_condition=SuppressCondition(
+                        min_number=5,
+                        min_ratio=2
+                    )
+                )
+                hard_threshold_condition = HardThresholdCondition(
+                    anomaly_detector_direction="Up",
+                    upper_bound=100,
+                    suppress_condition=SuppressCondition(
+                        min_number=5,
+                        min_ratio=2
+                    )
+                )
+                smart_detection_condition = SmartDetectionCondition(
+                    anomaly_detector_direction="Up",
+                    sensitivity=10,
+                    suppress_condition=SuppressCondition(
+                        min_number=5,
+                        min_ratio=2
+                    )
+                )
+                updated = await self.admin_client.update_detection_configuration(
+                    detection_config.id,
+                    name="updated",
+                    description="updated",
+                    whole_series_detection_condition=MetricDetectionCondition(
+                        cross_conditions_operator="OR",
+                        smart_detection_condition=smart_detection_condition,
+                        hard_threshold_condition=hard_threshold_condition,
+                        change_threshold_condition=change_threshold_condition
+                    ),
+                    series_detection_conditions=[MetricSingleSeriesDetectionCondition(
+                        series_key={"city": "San Paulo", "category": "Jewelry"},
+                        cross_conditions_operator="AND",
+                        smart_detection_condition=smart_detection_condition,
+                        hard_threshold_condition=hard_threshold_condition,
+                        change_threshold_condition=change_threshold_condition
+                    )],
+                    series_group_detection_conditions=[MetricSeriesGroupDetectionCondition(
+                        series_group_key={"city": "Shenzen"},
+                        cross_conditions_operator="AND",
+                        smart_detection_condition=smart_detection_condition,
+                        hard_threshold_condition=hard_threshold_condition,
+                        change_threshold_condition=change_threshold_condition
+                    )]
+                )
+
+                self.assertEqual(updated.name, "updated")
+                self.assertEqual(updated.description, "updated")
+                self.assertEqual(updated.series_detection_conditions[0].change_threshold_condition.anomaly_detector_direction, "Both")
+                self.assertEqual(updated.series_detection_conditions[0].change_threshold_condition.change_percentage, 20)
+                self.assertEqual(updated.series_detection_conditions[0].change_threshold_condition.shift_point, 10)
+                self.assertTrue(updated.series_detection_conditions[0].change_threshold_condition.within_range)
+                self.assertEqual(updated.series_detection_conditions[0].change_threshold_condition.suppress_condition.min_number, 5)
+                self.assertEqual(updated.series_detection_conditions[0].change_threshold_condition.suppress_condition.min_ratio, 2)
+                self.assertEqual(updated.series_detection_conditions[0].hard_threshold_condition.anomaly_detector_direction, "Up")
+                self.assertEqual(updated.series_detection_conditions[0].hard_threshold_condition.upper_bound, 100)
+                self.assertEqual(updated.series_detection_conditions[0].hard_threshold_condition.suppress_condition.min_number, 5)
+                self.assertEqual(updated.series_detection_conditions[0].hard_threshold_condition.suppress_condition.min_ratio, 2)
+                self.assertEqual(updated.series_detection_conditions[0].smart_detection_condition.anomaly_detector_direction, "Up")
+                self.assertEqual(updated.series_detection_conditions[0].smart_detection_condition.sensitivity, 10)
+                self.assertEqual(updated.series_detection_conditions[0].smart_detection_condition.suppress_condition.min_number, 5)
+                self.assertEqual(updated.series_detection_conditions[0].smart_detection_condition.suppress_condition.min_ratio, 2)
+                self.assertEqual(updated.series_detection_conditions[0].cross_conditions_operator, "AND")
+                self.assertEqual(updated.series_detection_conditions[0].series_key, {"city": "San Paulo", "category": "Jewelry"})
+
+                self.assertEqual(updated.series_group_detection_conditions[0].change_threshold_condition.anomaly_detector_direction, "Both")
+                self.assertEqual(updated.series_group_detection_conditions[0].change_threshold_condition.change_percentage, 20)
+                self.assertEqual(updated.series_group_detection_conditions[0].change_threshold_condition.shift_point, 10)
+                self.assertTrue(updated.series_group_detection_conditions[0].change_threshold_condition.within_range)
+                self.assertEqual(updated.series_group_detection_conditions[0].change_threshold_condition.suppress_condition.min_number, 5)
+                self.assertEqual(updated.series_group_detection_conditions[0].change_threshold_condition.suppress_condition.min_ratio, 2)
+                self.assertEqual(updated.series_group_detection_conditions[0].hard_threshold_condition.anomaly_detector_direction, "Up")
+                self.assertEqual(updated.series_group_detection_conditions[0].hard_threshold_condition.upper_bound, 100)
+                self.assertEqual(updated.series_group_detection_conditions[0].hard_threshold_condition.suppress_condition.min_number, 5)
+                self.assertEqual(updated.series_group_detection_conditions[0].hard_threshold_condition.suppress_condition.min_ratio, 2)
+                self.assertEqual(updated.series_group_detection_conditions[0].smart_detection_condition.anomaly_detector_direction, "Up")
+                self.assertEqual(updated.series_group_detection_conditions[0].smart_detection_condition.sensitivity, 10)
+                self.assertEqual(updated.series_group_detection_conditions[0].smart_detection_condition.suppress_condition.min_number, 5)
+                self.assertEqual(updated.series_group_detection_conditions[0].smart_detection_condition.suppress_condition.min_ratio, 2)
+                self.assertEqual(updated.series_group_detection_conditions[0].cross_conditions_operator, "AND")
+                self.assertEqual(updated.series_group_detection_conditions[0].series_group_key, {"city": "Shenzen"})
+
+                self.assertEqual(updated.whole_series_detection_condition.change_threshold_condition.anomaly_detector_direction, "Both")
+                self.assertEqual(updated.whole_series_detection_condition.change_threshold_condition.change_percentage, 20)
+                self.assertEqual(updated.whole_series_detection_condition.change_threshold_condition.shift_point, 10)
+                self.assertTrue(updated.whole_series_detection_condition.change_threshold_condition.within_range)
+                self.assertEqual(updated.whole_series_detection_condition.change_threshold_condition.suppress_condition.min_number, 5)
+                self.assertEqual(updated.whole_series_detection_condition.change_threshold_condition.suppress_condition.min_ratio, 2)
+                self.assertEqual(updated.whole_series_detection_condition.hard_threshold_condition.anomaly_detector_direction, "Up")
+                self.assertEqual(updated.whole_series_detection_condition.hard_threshold_condition.upper_bound, 100)
+                self.assertEqual(updated.whole_series_detection_condition.hard_threshold_condition.suppress_condition.min_number, 5)
+                self.assertEqual(updated.whole_series_detection_condition.hard_threshold_condition.suppress_condition.min_ratio, 2)
+                self.assertEqual(updated.whole_series_detection_condition.smart_detection_condition.anomaly_detector_direction, "Up")
+                self.assertEqual(updated.whole_series_detection_condition.smart_detection_condition.sensitivity, 10)
+                self.assertEqual(updated.whole_series_detection_condition.smart_detection_condition.suppress_condition.min_number, 5)
+                self.assertEqual(updated.whole_series_detection_condition.smart_detection_condition.suppress_condition.min_ratio, 2)
+                self.assertEqual(updated.whole_series_detection_condition.cross_conditions_operator, "OR")
+            finally:
+                await self.admin_client.delete_data_feed(data_feed.id)
+
+    @AzureTestCase.await_prepared_test
+    async def test_update_detection_config_with_model_and_kwargs(self):
+        async with self.admin_client:
+            try:
+                detection_config, data_feed = await self._create_detection_config_for_update("updatedetection")
+                change_threshold_condition = ChangeThresholdCondition(
+                    anomaly_detector_direction="Both",
+                    change_percentage=20,
+                    shift_point=10,
+                    within_range=True,
+                    suppress_condition=SuppressCondition(
+                        min_number=5,
+                        min_ratio=2
+                    )
+                )
+                hard_threshold_condition = HardThresholdCondition(
+                    anomaly_detector_direction="Up",
+                    upper_bound=100,
+                    suppress_condition=SuppressCondition(
+                        min_number=5,
+                        min_ratio=2
+                    )
+                )
+                smart_detection_condition = SmartDetectionCondition(
+                    anomaly_detector_direction="Up",
+                    sensitivity=10,
+                    suppress_condition=SuppressCondition(
+                        min_number=5,
+                        min_ratio=2
+                    )
+                )
+
+                detection_config.name = "updateMe"
+                detection_config.description = "updateMe"
+                updated = await self.admin_client.update_detection_configuration(
+                    detection_config,
+                    whole_series_detection_condition=MetricDetectionCondition(
+                        cross_conditions_operator="OR",
+                        smart_detection_condition=smart_detection_condition,
+                        hard_threshold_condition=hard_threshold_condition,
+                        change_threshold_condition=change_threshold_condition
+                    ),
+                    series_detection_conditions=[MetricSingleSeriesDetectionCondition(
+                        series_key={"city": "San Paulo", "category": "Jewelry"},
+                        cross_conditions_operator="AND",
+                        smart_detection_condition=smart_detection_condition,
+                        hard_threshold_condition=hard_threshold_condition,
+                        change_threshold_condition=change_threshold_condition
+                    )],
+                    series_group_detection_conditions=[MetricSeriesGroupDetectionCondition(
+                        series_group_key={"city": "Shenzen"},
+                        cross_conditions_operator="AND",
+                        smart_detection_condition=smart_detection_condition,
+                        hard_threshold_condition=hard_threshold_condition,
+                        change_threshold_condition=change_threshold_condition
+                    )]
+                )
+
+                self.assertEqual(updated.name, "updateMe")
+                self.assertEqual(updated.description, "updateMe")
+                self.assertEqual(updated.series_detection_conditions[0].change_threshold_condition.anomaly_detector_direction, "Both")
+                self.assertEqual(updated.series_detection_conditions[0].change_threshold_condition.change_percentage, 20)
+                self.assertEqual(updated.series_detection_conditions[0].change_threshold_condition.shift_point, 10)
+                self.assertTrue(updated.series_detection_conditions[0].change_threshold_condition.within_range)
+                self.assertEqual(updated.series_detection_conditions[0].change_threshold_condition.suppress_condition.min_number, 5)
+                self.assertEqual(updated.series_detection_conditions[0].change_threshold_condition.suppress_condition.min_ratio, 2)
+                self.assertEqual(updated.series_detection_conditions[0].hard_threshold_condition.anomaly_detector_direction, "Up")
+                self.assertEqual(updated.series_detection_conditions[0].hard_threshold_condition.upper_bound, 100)
+                self.assertEqual(updated.series_detection_conditions[0].hard_threshold_condition.suppress_condition.min_number, 5)
+                self.assertEqual(updated.series_detection_conditions[0].hard_threshold_condition.suppress_condition.min_ratio, 2)
+                self.assertEqual(updated.series_detection_conditions[0].smart_detection_condition.anomaly_detector_direction, "Up")
+                self.assertEqual(updated.series_detection_conditions[0].smart_detection_condition.sensitivity, 10)
+                self.assertEqual(updated.series_detection_conditions[0].smart_detection_condition.suppress_condition.min_number, 5)
+                self.assertEqual(updated.series_detection_conditions[0].smart_detection_condition.suppress_condition.min_ratio, 2)
+                self.assertEqual(updated.series_detection_conditions[0].cross_conditions_operator, "AND")
+                self.assertEqual(updated.series_detection_conditions[0].series_key, {"city": "San Paulo", "category": "Jewelry"})
+
+                self.assertEqual(updated.series_group_detection_conditions[0].change_threshold_condition.anomaly_detector_direction, "Both")
+                self.assertEqual(updated.series_group_detection_conditions[0].change_threshold_condition.change_percentage, 20)
+                self.assertEqual(updated.series_group_detection_conditions[0].change_threshold_condition.shift_point, 10)
+                self.assertTrue(updated.series_group_detection_conditions[0].change_threshold_condition.within_range)
+                self.assertEqual(updated.series_group_detection_conditions[0].change_threshold_condition.suppress_condition.min_number, 5)
+                self.assertEqual(updated.series_group_detection_conditions[0].change_threshold_condition.suppress_condition.min_ratio, 2)
+                self.assertEqual(updated.series_group_detection_conditions[0].hard_threshold_condition.anomaly_detector_direction, "Up")
+                self.assertEqual(updated.series_group_detection_conditions[0].hard_threshold_condition.upper_bound, 100)
+                self.assertEqual(updated.series_group_detection_conditions[0].hard_threshold_condition.suppress_condition.min_number, 5)
+                self.assertEqual(updated.series_group_detection_conditions[0].hard_threshold_condition.suppress_condition.min_ratio, 2)
+                self.assertEqual(updated.series_group_detection_conditions[0].smart_detection_condition.anomaly_detector_direction, "Up")
+                self.assertEqual(updated.series_group_detection_conditions[0].smart_detection_condition.sensitivity, 10)
+                self.assertEqual(updated.series_group_detection_conditions[0].smart_detection_condition.suppress_condition.min_number, 5)
+                self.assertEqual(updated.series_group_detection_conditions[0].smart_detection_condition.suppress_condition.min_ratio, 2)
+                self.assertEqual(updated.series_group_detection_conditions[0].cross_conditions_operator, "AND")
+                self.assertEqual(updated.series_group_detection_conditions[0].series_group_key, {"city": "Shenzen"})
+
+                self.assertEqual(updated.whole_series_detection_condition.change_threshold_condition.anomaly_detector_direction, "Both")
+                self.assertEqual(updated.whole_series_detection_condition.change_threshold_condition.change_percentage, 20)
+                self.assertEqual(updated.whole_series_detection_condition.change_threshold_condition.shift_point, 10)
+                self.assertTrue(updated.whole_series_detection_condition.change_threshold_condition.within_range)
+                self.assertEqual(updated.whole_series_detection_condition.change_threshold_condition.suppress_condition.min_number, 5)
+                self.assertEqual(updated.whole_series_detection_condition.change_threshold_condition.suppress_condition.min_ratio, 2)
+                self.assertEqual(updated.whole_series_detection_condition.hard_threshold_condition.anomaly_detector_direction, "Up")
+                self.assertEqual(updated.whole_series_detection_condition.hard_threshold_condition.upper_bound, 100)
+                self.assertEqual(updated.whole_series_detection_condition.hard_threshold_condition.suppress_condition.min_number, 5)
+                self.assertEqual(updated.whole_series_detection_condition.hard_threshold_condition.suppress_condition.min_ratio, 2)
+                self.assertEqual(updated.whole_series_detection_condition.smart_detection_condition.anomaly_detector_direction, "Up")
+                self.assertEqual(updated.whole_series_detection_condition.smart_detection_condition.sensitivity, 10)
+                self.assertEqual(updated.whole_series_detection_condition.smart_detection_condition.suppress_condition.min_number, 5)
+                self.assertEqual(updated.whole_series_detection_condition.smart_detection_condition.suppress_condition.min_ratio, 2)
+                self.assertEqual(updated.whole_series_detection_condition.cross_conditions_operator, "OR")
+            finally:
+                await self.admin_client.delete_data_feed(data_feed.id)
+
+    @AzureTestCase.await_prepared_test
+    async def test_update_detection_config_by_resetting_properties(self):
+        async with self.admin_client:
+            try:
+                detection_config, data_feed = await self._create_detection_config_for_update("updatedetection")
+
+                updated = await self.admin_client.update_detection_configuration(
+                    detection_config.id,
+                    name="reset",
+                    description="",
+                    # series_detection_conditions=None,
+                    # series_group_detection_conditions=None
+                )
+
+                self.assertEqual(updated.name, "reset")
+                self.assertEqual(updated.description, "")  # currently won't update with None
+
+                # service bug says these are required
+                # self.assertEqual(updated.series_detection_conditions, None)
+                # self.assertEqual(updated.series_group_detection_conditions, None)
+
+            finally:
+                await self.admin_client.delete_data_feed(data_feed.id)
diff --git a/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/async_tests/test_hooks_aad_async.py b/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/async_tests/test_hooks_aad_async.py
new file mode 100644
index 000000000000..0b1872f02b2a
--- /dev/null
+++ b/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/async_tests/test_hooks_aad_async.py
@@ -0,0 +1,279 @@
+# -------------------------------------------------------------------------
+# Copyright (c) Microsoft Corporation. All rights reserved.
+# Licensed under the MIT License. See License.txt in the project root for
+# license information.
+# --------------------------------------------------------------------------
+
+import pytest
+from devtools_testutils import AzureTestCase
+from azure.core.exceptions import ResourceNotFoundError
+from azure.ai.metricsadvisor.models import (
+    EmailNotificationHook,
+    WebNotificationHook,
+)
+from base_testcase_aad_async import TestMetricsAdvisorAdministrationClientBaseAsync
+
+
+class TestMetricsAdvisorAdministrationClientAsync(TestMetricsAdvisorAdministrationClientBaseAsync):
+
+    @AzureTestCase.await_prepared_test
+    async def test_create_email_hook(self):
+        email_hook_name = self.create_random_name("testemailhookasync")
+        async with self.admin_client:
+            try:
+                email_hook = await self.admin_client.create_hook(
+                    hook=EmailNotificationHook(
+                        name=email_hook_name,
+                        emails_to_alert=["yournamehere@microsoft.com"],
+                        description="my email hook",
+                        external_link="external link"
+                    )
+                )
+                self.assertIsNotNone(email_hook.id)
+                self.assertIsNotNone(email_hook.name)
+                self.assertIsNotNone(email_hook.admin_emails)
+                self.assertEqual(email_hook.emails_to_alert, ["yournamehere@microsoft.com"])
+                self.assertEqual(email_hook.description, "my email hook")
+                self.assertEqual(email_hook.external_link, "external link")
+                self.assertEqual(email_hook.hook_type, "Email")
+            finally:
+                await self.admin_client.delete_hook(email_hook.id)
+
+                with self.assertRaises(ResourceNotFoundError):
+                    await self.admin_client.get_hook(email_hook.id)
+
+    @AzureTestCase.await_prepared_test
+    async def test_create_web_hook(self):
+        web_hook_name = self.create_random_name("testwebhookasync")
+        async with self.admin_client:
+            try:
+                web_hook = await self.admin_client.create_hook(
+                    hook=WebNotificationHook(
+                        name=web_hook_name,
+                        endpoint="https://httpbin.org/post",
+                        description="my web hook",
+                        external_link="external link"
+                    )
+                )
+                self.assertIsNotNone(web_hook.id)
+                self.assertIsNotNone(web_hook.name)
+                self.assertIsNotNone(web_hook.admin_emails)
+                self.assertEqual(web_hook.endpoint, "https://httpbin.org/post")
+                self.assertEqual(web_hook.description, "my web hook")
+                self.assertEqual(web_hook.external_link, "external link")
+                self.assertEqual(web_hook.hook_type, "Webhook")
+            finally:
+                await self.admin_client.delete_hook(web_hook.id)
+
+                with self.assertRaises(ResourceNotFoundError):
+                    await self.admin_client.get_hook(web_hook.id)
+
+    @AzureTestCase.await_prepared_test
+    async def test_list_hooks(self):
+        async with self.admin_client:
+            hooks = self.admin_client.list_hooks()
+            hooks_list = []
+            async for hook in hooks:
+                hooks_list.append(hook)
+            assert len(hooks_list) > 0
+
+    @AzureTestCase.await_prepared_test
+    async def test_update_email_hook_with_model(self):
+        name = self.create_random_name("testwebhook")
+        async with self.admin_client:
+            try:
+                hook = await self._create_email_hook_for_update(name)
+                hook.name = "update"
+                hook.description = "update"
+                hook.external_link = "update"
+                hook.emails_to_alert = ["myemail@m.com"]
+
+                updated = await self.admin_client.update_hook(hook)
+
+                self.assertEqual(updated.name, "update")
+                self.assertEqual(updated.description, "update")
+                self.assertEqual(updated.external_link, "update")
+                self.assertEqual(updated.emails_to_alert, ["myemail@m.com"])
+
+            finally:
+                await self.admin_client.delete_hook(hook.id)
+
+    @AzureTestCase.await_prepared_test
+    async def test_update_email_hook_with_kwargs(self):
+        name = self.create_random_name("testhook")
+        async with self.admin_client:
+            try:
+                hook = await self._create_email_hook_for_update(name)
+                updated = await self.admin_client.update_hook(
+                    hook.id,
+                    hook_type="Email",
+                    name="update",
+                    description="update",
+                    external_link="update",
+                    emails_to_alert=["myemail@m.com"]
+                )
+
+                self.assertEqual(updated.name, "update")
+                self.assertEqual(updated.description, "update")
+                self.assertEqual(updated.external_link, "update")
+                self.assertEqual(updated.emails_to_alert, ["myemail@m.com"])
+
+            finally:
+                await self.admin_client.delete_hook(hook.id)
+
+    @AzureTestCase.await_prepared_test
+    async def test_update_email_hook_with_model_and_kwargs(self):
+        name = self.create_random_name("testhook")
+        async with self.admin_client:
+            try:
+                hook = await self._create_email_hook_for_update(name)
+
+                hook.name = "don't update me"
+                hook.description = "don't update me"
+                hook.emails_to_alert = []
+                updated = await self.admin_client.update_hook(
+                    hook,
+                    hook_type="Email",
+                    name="update",
+                    description="update",
+                    external_link="update",
+                    emails_to_alert=["myemail@m.com"]
+                )
+
+                self.assertEqual(updated.name, "update")
+                self.assertEqual(updated.description, "update")
+                self.assertEqual(updated.external_link, "update")
+                self.assertEqual(updated.emails_to_alert, ["myemail@m.com"])
+
+            finally:
+                await self.admin_client.delete_hook(hook.id)
+
+    @AzureTestCase.await_prepared_test
+    async def test_update_email_hook_by_resetting_properties(self):
+        name = self.create_random_name("testhook")
+        async with self.admin_client:
+            try:
+                hook = await self._create_email_hook_for_update(name)
+                updated = await self.admin_client.update_hook(
+                    hook.id,
+                    hook_type="Email",
+                    name="reset",
+                    description=None,
+                    external_link=None,
+                )
+
+                self.assertEqual(updated.name, "reset")
+
+                # sending null, but not clearing properties
+                # self.assertEqual(updated.description, "")
+                # self.assertEqual(updated.external_link, "")
+
+            finally:
+                await self.admin_client.delete_hook(hook.id)
+
+    @AzureTestCase.await_prepared_test
+    async def test_update_web_hook_with_model(self):
+        name = self.create_random_name("testwebhook")
+        async with self.admin_client:
+            try:
+                hook = await self._create_web_hook_for_update(name)
+                hook.name = "update"
+                hook.description = "update"
+                hook.external_link = "update"
+                hook.username = "myusername"
+                hook.password = "password"
+
+                updated = await self.admin_client.update_hook(hook)
+
+                self.assertEqual(updated.name, "update")
+                self.assertEqual(updated.description, "update")
+                self.assertEqual(updated.external_link, "update")
+                self.assertEqual(updated.username, "myusername")
+                self.assertEqual(updated.password, "password")
+
+            finally:
+                await self.admin_client.delete_hook(hook.id)
+
+    @AzureTestCase.await_prepared_test
+    async def test_update_web_hook_with_kwargs(self):
+        name = self.create_random_name("testwebhook")
+        async with self.admin_client:
+            try:
+                hook = await self._create_web_hook_for_update(name)
+                updated = await self.admin_client.update_hook(
+                    hook.id,
+                    hook_type="Web",
+                    endpoint="https://httpbin.org/post",
+                    name="update",
+                    description="update",
+                    external_link="update",
+                    username="myusername",
+                    password="password"
+                )
+
+                self.assertEqual(updated.name, "update")
+                self.assertEqual(updated.description, "update")
+                self.assertEqual(updated.external_link, "update")
+                self.assertEqual(updated.username, "myusername")
+                self.assertEqual(updated.password, "password")
+
+            finally:
+                await self.admin_client.delete_hook(hook.id)
+
+    @AzureTestCase.await_prepared_test
+    async def test_update_web_hook_with_model_and_kwargs(self):
+        name = self.create_random_name("testwebhook")
+        async with self.admin_client:
+            try:
+                hook = await self._create_web_hook_for_update(name)
+
+                hook.name = "don't update me"
+                hook.description = "updateMe"
+                hook.username = "don't update me"
+                hook.password = "don't update me"
+                hook.endpoint = "don't update me"
+                updated = await self.admin_client.update_hook(
+                    hook,
+                    hook_type="Web",
+                    endpoint="https://httpbin.org/post",
+                    name="update",
+                    external_link="update",
+                    username="myusername",
+                    password="password"
+                )
+
+                self.assertEqual(updated.name, "update")
+                self.assertEqual(updated.description, "updateMe")
+                self.assertEqual(updated.external_link, "update")
+                self.assertEqual(updated.username, "myusername")
+                self.assertEqual(updated.password, "password")
+
+            finally:
+                await self.admin_client.delete_hook(hook.id)
+
+    @AzureTestCase.await_prepared_test
+    async def test_update_web_hook_by_resetting_properties(self):
+        name = self.create_random_name("testhook")
+        async with self.admin_client:
+            try:
+                hook = await self._create_web_hook_for_update(name)
+                updated = await self.admin_client.update_hook(
+                    hook.id,
+                    hook_type="Web",
+                    name="reset",
+                    description=None,
+                    endpoint="https://httpbin.org/post",
+                    external_link=None,
+                    username="myusername",
+                    password=None
+                )
+
+                self.assertEqual(updated.name, "reset")
+                self.assertEqual(updated.password, "")
+
+                # sending null, but not clearing properties
+                # self.assertEqual(updated.description, "")
+                # self.assertEqual(updated.external_link, "")
+
+            finally:
+                await self.admin_client.delete_hook(hook.id)
diff --git a/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/async_tests/test_metrics_advisor_client_aad_live_async.py b/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/async_tests/test_metrics_advisor_client_aad_live_async.py
new file mode 100644
index 000000000000..bf3730cbfa62
--- /dev/null
+++ b/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/async_tests/test_metrics_advisor_client_aad_live_async.py
@@ -0,0 +1,237 @@
+# -------------------------------------------------------------------------
+# Copyright (c) Microsoft Corporation. All rights reserved.
+# Licensed under the MIT License. See License.txt in the project root for
+# license information.
+# --------------------------------------------------------------------------
+import asyncio
+import functools
+from azure.core import MatchConditions
+from devtools_testutils import AzureMgmtTestCase, ResourceGroupPreparer
+import pytest
+import datetime
+from devtools_testutils import AzureTestCase
+from azure.ai.metricsadvisor.models import (
+    AnomalyFeedback,
+    ChangePointFeedback,
+    CommentFeedback,
+    PeriodFeedback,
+)
+import os
+from azure_devtools.scenario_tests.utilities import trim_kwargs_from_test_function
+from base_testcase_aad_async import TestMetricsAdvisorClientBaseAsync
+
+class TestMetricsAdvisorClientAsync(TestMetricsAdvisorClientBaseAsync):
+
+    @AzureTestCase.await_prepared_test
+    async def test_list_anomalies_for_detection_configuration(self):
+        async with self.client:
+            results = self.client.list_anomalies(
+                detection_configuration_id=self.anomaly_detection_configuration_id,
+                start_time=datetime.datetime(2020, 1, 1),
+                end_time=datetime.datetime(2020, 10, 21),
+            )
+            tolist = []
+            async for result in results:
+                tolist.append(result)
+            assert len(tolist) > 0
+
+    @AzureTestCase.await_prepared_test
+    async def test_list_dimension_values(self):
+        async with self.client:
+            results = self.client.list_dimension_values(
+                detection_configuration_id=self.anomaly_detection_configuration_id,
+                dimension_name=self.dimension_name,
+                start_time=datetime.datetime(2020, 1, 1),
+                end_time=datetime.datetime(2020, 10, 21),
+            )
+            tolist = []
+            async for result in results:
+                tolist.append(result)
+            assert len(tolist) > 0
+
+    @AzureTestCase.await_prepared_test
+    async def test_list_incidents_for_detection_configuration(self):
+        async with self.client:
+            results = self.client.list_incidents(
+                detection_configuration_id=self.anomaly_detection_configuration_id,
+                start_time=datetime.datetime(2020, 1, 1),
+                end_time=datetime.datetime(2020, 10, 21),
+            )
+            tolist = []
+            async for result in results:
+                tolist.append(result)
+            assert len(tolist) > 0
+
+    @AzureTestCase.await_prepared_test
+    async def test_list_metric_dimension_values(self):
+        async with self.client:
+            results = self.client.list_metric_dimension_values(
+                metric_id=self.metric_id,
+                dimension_name=self.dimension_name,
+            )
+            tolist = []
+            async for result in results:
+                tolist.append(result)
+            assert len(tolist) > 0
+
+    @AzureTestCase.await_prepared_test
+    async def test_list_incident_root_cause(self):
+        async with self.client:
+            results = self.client.list_incident_root_causes(
+                detection_configuration_id=self.anomaly_detection_configuration_id,
+                incident_id=self.incident_id,
+            )
+            tolist = []
+            async for result in results:
+                tolist.append(result)
+            assert len(tolist) == 0
+
+    @AzureTestCase.await_prepared_test
+    async def test_list_metric_enriched_series_data(self):
+        async with self.client:
+            series_identity = {"city": "Los Angeles"}
+            results = self.client.list_metric_enriched_series_data(
+                detection_configuration_id=self.anomaly_detection_configuration_id,
+                start_time=datetime.datetime(2020, 1, 1),
+                end_time=datetime.datetime(2020, 10, 21),
+                series=[series_identity]
+            )
+            tolist = []
+            async for result in results:
+                tolist.append(result)
+            assert len(tolist) > 0
+
+    @AzureTestCase.await_prepared_test
+    async def test_list_metric_enrichment_status(self):
+        async with self.client:
+            results = self.client.list_metric_enrichment_status(
+                metric_id=self.metric_id,
+                start_time=datetime.datetime(2020, 1, 1),
+                end_time=datetime.datetime(2020, 10, 21),
+            )
+            tolist = []
+            async for result in results:
+                tolist.append(result)
+            assert len(tolist) > 0
+
+    @AzureTestCase.await_prepared_test
+    async def test_list_alerts(self):
+        async with self.client:
+            results = self.client.list_alerts(
+                alert_configuration_id=self.anomaly_alert_configuration_id,
+                start_time=datetime.datetime(2020, 1, 1),
+                end_time=datetime.datetime(2020, 10, 21),
+                time_mode="AnomalyTime",
+            )
+            tolist = []
+            async for result in results:
+                tolist.append(result)
+            assert len(tolist) > 0
+
+    @AzureTestCase.await_prepared_test
+    async def test_list_metrics_series_data(self):
+        async with self.client:
+            results = self.client.list_metrics_series_data(
+                metric_id=self.metric_id,
+                start_time=datetime.datetime(2020, 1, 1),
+                end_time=datetime.datetime(2020, 10, 21),
+                series_to_filter=[
+                    {"city": "Los Angeles", "category": "Homemade"}
+                ]
+            )
+            tolist = []
+            async for result in results:
+                tolist.append(result)
+            assert len(tolist) > 0
+
+    @AzureTestCase.await_prepared_test
+    async def test_list_metric_series_definitions(self):
+        async with self.client:
+            results = self.client.list_metric_series_definitions(
+                metric_id=self.metric_id,
+                active_since=datetime.datetime(2020, 1, 1),
+            )
+            tolist = []
+            async for result in results:
+                tolist.append(result)
+            assert len(tolist) > 0
+
+    @AzureTestCase.await_prepared_test
+    async def test_add_anomaly_feedback(self):
+        anomaly_feedback = AnomalyFeedback(metric_id=self.metric_id,
+                                           dimension_key={"city": "Los Angeles"},
+                                           start_time=datetime.datetime(2020, 8, 5),
+                                           end_time=datetime.datetime(2020, 10, 21),
+                                           value="NotAnomaly")
+        async with self.client:
+            await self.client.add_feedback(anomaly_feedback)
+
+    @AzureTestCase.await_prepared_test
+    async def test_add_change_point_feedback(self):
+        change_point_feedback = ChangePointFeedback(metric_id=self.metric_id,
+                                                    dimension_key={"city": "Los Angeles"},
+                                                    start_time=datetime.datetime(2020, 8, 5),
+                                                    end_time=datetime.datetime(2020, 10, 21),
+                                                    value="NotChangePoint")
+        async with self.client:
+            await self.client.add_feedback(change_point_feedback)
+
+    @AzureTestCase.await_prepared_test
+    async def test_add_comment_feedback(self):
+        comment_feedback = CommentFeedback(metric_id=self.metric_id,
+                                           dimension_key={"city": "Los Angeles"},
+                                           start_time=datetime.datetime(2020, 8, 5),
+                                           end_time=datetime.datetime(2020, 10, 21),
+                                           value="comment")
+        async with self.client:
+            await self.client.add_feedback(comment_feedback)
+
+    @AzureTestCase.await_prepared_test
+    async def test_add_period_feedback(self):
+        period_feedback = PeriodFeedback(metric_id=self.metric_id,
+                                         dimension_key={"city": "Los Angeles"},
+                                         start_time=datetime.datetime(2020, 8, 5),
+                                         end_time=datetime.datetime(2020, 10, 21),
+                                         period_type="AssignValue",
+                                         value=2)
+        async with self.client:
+            await self.client.add_feedback(period_feedback)
+
+    @AzureTestCase.await_prepared_test
+    async def test_list_feedback(self):
+        async with self.client:
+            results = self.client.list_feedback(metric_id=self.metric_id)
+            tolist = []
+            async for result in results:
+                tolist.append(result)
+            assert len(tolist) > 0
+
+    @AzureTestCase.await_prepared_test
+    async def test_get_feedback(self):
+        async with self.client:
+            result = await self.client.get_feedback(feedback_id=self.feedback_id)
+            assert result
+
+    @AzureTestCase.await_prepared_test
+    async def test_list_anomalies_for_alert(self):
+        async with self.client:
+            results = self.client.list_anomalies(
+                alert_configuration_id=self.anomaly_alert_configuration_id,
+                alert_id=self.alert_id,
+            )
+            tolist = []
+            async for result in results:
+                tolist.append(result)
+            assert len(tolist) > 0
+
+    @AzureTestCase.await_prepared_test
+    async def test_list_incidents_for_alert(self):
+        async with self.client:
+            results = self.client.list_incidents(
+                alert_configuration_id=self.anomaly_alert_configuration_id,
+                alert_id=self.alert_id,
+            )
+            tolist = []
+            async for result in results:
+                tolist.append(result)
+            assert len(tolist) > 0
diff --git a/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/async_tests/test_metrics_advisor_client_live_async.py b/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/async_tests/test_metrics_advisor_client_live_async.py
index 535a39494b39..5d7fc043c063 100644
--- a/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/async_tests/test_metrics_advisor_client_live_async.py
+++ b/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/async_tests/test_metrics_advisor_client_live_async.py
@@ -84,7 +84,7 @@ async def test_list_incident_root_cause(self):
             tolist = []
             async for result in results:
                 tolist.append(result)
-            assert len(tolist) > 0
+            assert len(tolist) == 0
 
     @AzureTestCase.await_prepared_test
     async def test_list_metric_enriched_series_data(self):
diff --git a/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/base_testcase_aad.py b/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/base_testcase_aad.py
new file mode 100644
index 000000000000..e9a9ffafc76c
--- /dev/null
+++ b/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/base_testcase_aad.py
@@ -0,0 +1,461 @@
+# coding=utf-8
+# -------------------------------------------------------------------------
+# Copyright (c) Microsoft Corporation. All rights reserved.
+# Licensed under the MIT License. See License.txt in the project root for
+# license information.
+# --------------------------------------------------------------------------
+
+import datetime
+from devtools_testutils import AzureTestCase
+from azure_devtools.scenario_tests import (
+    ReplayableTest,
+    create_random_name
+)
+
+from azure.ai.metricsadvisor import (
+    MetricsAdvisorKeyCredential,
+    MetricsAdvisorAdministrationClient,
+    MetricsAdvisorClient,
+)
+from azure.ai.metricsadvisor.models import (
+    SQLServerDataFeed,
+    DataFeedSchema,
+    DataFeedMetric,
+    DataFeedDimension,
+    DataFeedGranularity,
+    DataFeedIngestionSettings,
+    DataFeedMissingDataPointFillSettings,
+    DataFeedRollupSettings,
+    DataFeedOptions,
+    MetricAlertConfiguration,
+    MetricAnomalyAlertScope,
+    MetricAnomalyAlertConditions,
+    MetricBoundaryCondition,
+    TopNGroupScope,
+    SeverityCondition,
+    MetricDetectionCondition,
+    MetricSeriesGroupDetectionCondition,
+    MetricSingleSeriesDetectionCondition,
+    SmartDetectionCondition,
+    SuppressCondition,
+    ChangeThresholdCondition,
+    HardThresholdCondition,
+    EmailNotificationHook,
+    WebNotificationHook,
+)
+from azure.identity import DefaultAzureCredential
+
+class MockCredential():
+    def get_token(self, *scopes, **kwargs):
+        from azure.core.credentials import AccessToken
+        return AccessToken("fake-token", 0)
+
+class TestMetricsAdvisorAdministrationClientBase(AzureTestCase):
+    FILTER_HEADERS = ReplayableTest.FILTER_HEADERS + ['Ocp-Apim-Subscription-Key', 'x-api-key']
+
+    def __init__(self, method_name):
+        super(TestMetricsAdvisorAdministrationClientBase, self).__init__(method_name)
+        self.vcr.match_on = ["path", "method", "query"]
+        if self.is_live:
+            service_endpoint = self.get_settings_value("METRICS_ADVISOR_ENDPOINT")
+            self.sql_server_connection_string = self.get_settings_value("METRICS_ADVISOR_SQL_SERVER_CONNECTION_STRING")
+            self.azure_table_connection_string = self.get_settings_value("METRICS_ADVISOR_AZURE_TABLE_CONNECTION_STRING")
+            self.azure_blob_connection_string = self.get_settings_value("METRICS_ADVISOR_AZURE_BLOB_CONNECTION_STRING")
+            self.azure_cosmosdb_connection_string = self.get_settings_value("METRICS_ADVISOR_COSMOS_DB_CONNECTION_STRING")
+            self.http_request_get_url = self.get_settings_value("METRICS_ADVISOR_HTTP_GET_URL")
+            self.http_request_post_url = self.get_settings_value("METRICS_ADVISOR_HTTP_POST_URL")
+            self.application_insights_api_key = self.get_settings_value("METRICS_ADVISOR_APPLICATION_INSIGHTS_API_KEY")
+            self.azure_data_explorer_connection_string = self.get_settings_value("METRICS_ADVISOR_AZURE_DATA_EXPLORER_CONNECTION_STRING")
+            self.influxdb_connection_string = self.get_settings_value("METRICS_ADVISOR_INFLUX_DB_CONNECTION_STRING")
+            self.influxdb_password = self.get_settings_value("METRICS_ADVISOR_INFLUX_DB_PASSWORD")
+            self.azure_datalake_account_key = self.get_settings_value("METRICS_ADVISOR_AZURE_DATALAKE_ACCOUNT_KEY")
+            self.mongodb_connection_string = self.get_settings_value("METRICS_ADVISOR_AZURE_MONGO_DB_CONNECTION_STRING")
+            self.mysql_connection_string = self.get_settings_value("METRICS_ADVISOR_MYSQL_CONNECTION_STRING")
+            self.postgresql_connection_string = self.get_settings_value("METRICS_ADVISOR_POSTGRESQL_CONNECTION_STRING")
+            self.elasticsearch_auth_header = self.get_settings_value("METRICS_ADVISOR_ELASTICSEARCH_AUTH_HEADER")
+            self.anomaly_detection_configuration_id = self.get_settings_value("METRICS_ADVISOR_ANOMALY_DETECTION_CONFIGURATION_ID")
+            self.data_feed_id = self.get_settings_value("METRICS_ADVISOR_DATA_FEED_ID")
+            self.metric_id = self.get_settings_value("METRICS_ADVISOR_METRIC_ID")
+            credential = DefaultAzureCredential()
+            self.scrubber.register_name_pair(
+                self.sql_server_connection_string,
+                "connectionstring"
+            )
+            self.scrubber.register_name_pair(
+                self.azure_table_connection_string,
+                "connectionstring"
+            )
+            self.scrubber.register_name_pair(
+                self.azure_blob_connection_string,
+                "connectionstring"
+            )
+            self.scrubber.register_name_pair(
+                self.azure_cosmosdb_connection_string,
+                "connectionstring"
+            )
+            self.scrubber.register_name_pair(
+                self.http_request_get_url,
+                "connectionstring"
+            )
+            self.scrubber.register_name_pair(
+                self.http_request_post_url,
+                "connectionstring"
+            )
+            self.scrubber.register_name_pair(
+                self.application_insights_api_key,
+                "connectionstring"
+            )
+            self.scrubber.register_name_pair(
+                self.azure_data_explorer_connection_string,
+                "connectionstring"
+            )
+            self.scrubber.register_name_pair(
+                self.influxdb_connection_string,
+                "connectionstring"
+            )
+            self.scrubber.register_name_pair(
+                self.influxdb_password,
+                "connectionstring"
+            )
+            self.scrubber.register_name_pair(
+                self.azure_datalake_account_key,
+                "connectionstring"
+            )
+            self.scrubber.register_name_pair(
+                self.mongodb_connection_string,
+                "connectionstring"
+            )
+            self.scrubber.register_name_pair(
+                self.mysql_connection_string,
+                "connectionstring"
+            )
+            self.scrubber.register_name_pair(
+                self.postgresql_connection_string,
+                "connectionstring"
+            )
+            self.scrubber.register_name_pair(
+                self.elasticsearch_auth_header,
+                "connectionstring"
+            )
+
+            self.scrubber.register_name_pair(
+                self.metric_id,
+                "metric_id"
+            )
+            self.scrubber.register_name_pair(
+                self.data_feed_id,
+                "data_feed_id"
+            )
+            self.scrubber.register_name_pair(
+                self.anomaly_detection_configuration_id,
+                "anomaly_detection_configuration_id"
+            )
+        else:
+            service_endpoint = "https://endpointname.cognitiveservices.azure.com"
+            self.sql_server_connection_string = "SQL_SERVER_CONNECTION_STRING"
+            self.azure_table_connection_string = "AZURE_TABLE_CONNECTION_STRING"
+            self.azure_blob_connection_string = "AZURE_BLOB_CONNECTION_STRING"
+            self.azure_cosmosdb_connection_string = "COSMOS_DB_CONNECTION_STRING"
+            self.http_request_get_url = "METRICS_ADVISOR_HTTP_GET_URL"
+            self.http_request_post_url = "METRICS_ADVISOR_HTTP_POST_URL"
+            self.application_insights_api_key = "METRICS_ADVISOR_APPLICATION_INSIGHTS_API_KEY"
+            self.azure_data_explorer_connection_string = "METRICS_ADVISOR_AZURE_DATA_EXPLORER_CONNECTION_STRING"
+            self.influxdb_connection_string = "METRICS_ADVISOR_INFLUXDB_CONNECTION_STRING"
+            self.influxdb_password = "METRICS_ADVISOR_INFLUXDB_PASSWORD"
+            self.azure_datalake_account_key = "METRICS_ADVISOR_AZURE_DATALAKE_ACCOUNT_KEY"
+            self.mongodb_connection_string = "METRICS_ADVISOR_AZURE_MONGODB_CONNECTION_STRING"
+            self.mysql_connection_string = "METRICS_ADVISOR_MYSQL_CONNECTION_STRING"
+            self.postgresql_connection_string = "METRICS_ADVISOR_POSTGRESQL_CONNECTION_STRING"
+            self.elasticsearch_auth_header = "METRICS_ADVISOR_ELASTICSEARCH_AUTH"
+            self.anomaly_detection_configuration_id = "anomaly_detection_configuration_id"
+            self.metric_id = "metric_id"
+            self.data_feed_id = "data_feed_id"
+            credential = MockCredential()
+        self.admin_client = MetricsAdvisorAdministrationClient(service_endpoint, credential)
+
+    def _create_data_feed(self, name):
+        name = create_random_name(name)
+        return self.admin_client.create_data_feed(
+            name=name,
+            source=SQLServerDataFeed(
+                connection_string=self.sql_server_connection_string,
+                query="select * from adsample2 where Timestamp = @StartTime"
+            ),
+            granularity="Daily",
+            schema=DataFeedSchema(
+                metrics=[
+                    DataFeedMetric(name="cost"),
+                    DataFeedMetric(name="revenue")
+                ],
+                dimensions=[
+                    DataFeedDimension(name="category"),
+                    DataFeedDimension(name="city")
+                ],
+            ),
+            ingestion_settings="2019-10-01T00:00:00Z",
+        )
+
+    def _create_data_feed_and_detection_config(self, name):
+        data_feed = self._create_data_feed(name)
+        detection_config_name = create_random_name(name)
+        detection_config = self.admin_client.create_detection_configuration(
+            name=detection_config_name,
+            metric_id=data_feed.metric_ids[0],
+            description="testing",
+            whole_series_detection_condition=MetricDetectionCondition(
+                smart_detection_condition=SmartDetectionCondition(
+                    sensitivity=50,
+                    anomaly_detector_direction="Both",
+                    suppress_condition=SuppressCondition(
+                        min_number=50,
+                        min_ratio=50
+                    )
+                )
+            )
+        )
+        return detection_config, data_feed
+
+    def _create_data_feed_for_update(self, name):
+        data_feed_name = create_random_name(name)
+        return self.admin_client.create_data_feed(
+            name=data_feed_name,
+            source=SQLServerDataFeed(
+                connection_string=self.sql_server_connection_string,
+                query=u"select * from adsample2 where Timestamp = @StartTime"
+            ),
+            granularity=DataFeedGranularity(
+                granularity_type="Daily",
+            ),
+            schema=DataFeedSchema(
+                metrics=[
+                    DataFeedMetric(name="cost", display_name="display cost", description="the cost"),
+                    DataFeedMetric(name="revenue", display_name="display revenue", description="the revenue")
+                ],
+                dimensions=[
+                    DataFeedDimension(name="category", display_name="display category"),
+                    DataFeedDimension(name="city", display_name="display city")
+                ],
+                timestamp_column="Timestamp"
+            ),
+            ingestion_settings=DataFeedIngestionSettings(
+                ingestion_begin_time=datetime.datetime(2019, 10, 1),
+                data_source_request_concurrency=0,
+                ingestion_retry_delay=-1,
+                ingestion_start_offset=-1,
+                stop_retry_after=-1,
+            ),
+            options=DataFeedOptions(
+                admin_emails=["yournamehere@microsoft.com"],
+                data_feed_description="my first data feed",
+                missing_data_point_fill_settings=DataFeedMissingDataPointFillSettings(
+                    fill_type="SmartFilling"
+                ),
+                rollup_settings=DataFeedRollupSettings(
+                    rollup_type="NoRollup",
+                    rollup_method="None",
+                ),
+                viewer_emails=["viewers"],
+                access_mode="Private",
+                action_link_template="action link template"
+            )
+
+        )
+
+    def _create_alert_config_for_update(self, name):
+        detection_config, data_feed = self._create_data_feed_and_detection_config(name)
+        alert_config_name = create_random_name(name)
+        alert_config = self.admin_client.create_alert_configuration(
+            name=alert_config_name,
+            cross_metrics_operator="AND",
+            metric_alert_configurations=[
+                MetricAlertConfiguration(
+                    detection_configuration_id=detection_config.id,
+                    alert_scope=MetricAnomalyAlertScope(
+                        scope_type="TopN",
+                        top_n_group_in_scope=TopNGroupScope(
+                            top=5,
+                            period=10,
+                            min_top_count=9
+                        )
+                    ),
+                    alert_conditions=MetricAnomalyAlertConditions(
+                        metric_boundary_condition=MetricBoundaryCondition(
+                            direction="Both",
+                            companion_metric_id=data_feed.metric_ids[0],
+                            lower=1.0,
+                            upper=5.0
+                        )
+                    )
+                ),
+                MetricAlertConfiguration(
+                    detection_configuration_id=detection_config.id,
+                    alert_scope=MetricAnomalyAlertScope(
+                        scope_type="SeriesGroup",
+                        series_group_in_scope={'city': 'Shenzhen'}
+                    ),
+                    alert_conditions=MetricAnomalyAlertConditions(
+                        severity_condition=SeverityCondition(
+                            min_alert_severity="Low",
+                            max_alert_severity="High"
+                        )
+                    )
+                ),
+                MetricAlertConfiguration(
+                    detection_configuration_id=detection_config.id,
+                    alert_scope=MetricAnomalyAlertScope(
+                        scope_type="WholeSeries"
+                    ),
+                    alert_conditions=MetricAnomalyAlertConditions(
+                        severity_condition=SeverityCondition(
+                            min_alert_severity="Low",
+                            max_alert_severity="High"
+                        )
+                    )
+                )
+            ],
+            hook_ids=[]
+        )
+        return alert_config, data_feed, detection_config
+
+    def _create_detection_config_for_update(self, name):
+        data_feed = self._create_data_feed(name)
+        detection_config_name = create_random_name("testupdated")
+        detection_config = self.admin_client.create_detection_configuration(
+            name=detection_config_name,
+            metric_id=data_feed.metric_ids[0],
+            description="My test metric anomaly detection configuration",
+            whole_series_detection_condition=MetricDetectionCondition(
+                cross_conditions_operator="AND",
+                smart_detection_condition=SmartDetectionCondition(
+                    sensitivity=50,
+                    anomaly_detector_direction="Both",
+                    suppress_condition=SuppressCondition(
+                        min_number=50,
+                        min_ratio=50
+                    )
+                ),
+                hard_threshold_condition=HardThresholdCondition(
+                    anomaly_detector_direction="Both",
+                    suppress_condition=SuppressCondition(
+                        min_number=5,
+                        min_ratio=5
+                    ),
+                    lower_bound=0,
+                    upper_bound=100
+                ),
+                change_threshold_condition=ChangeThresholdCondition(
+                    change_percentage=50,
+                    shift_point=30,
+                    within_range=True,
+                    anomaly_detector_direction="Both",
+                    suppress_condition=SuppressCondition(
+                        min_number=2,
+                        min_ratio=2
+                    )
+                )
+            ),
+            series_detection_conditions=[MetricSingleSeriesDetectionCondition(
+                series_key={"city": "Shenzhen", "category": "Jewelry"},
+                smart_detection_condition=SmartDetectionCondition(
+                    anomaly_detector_direction="Both",
+                    sensitivity=63,
+                    suppress_condition=SuppressCondition(
+                        min_number=1,
+                        min_ratio=100
+                    )
+                )
+            )],
+            series_group_detection_conditions=[MetricSeriesGroupDetectionCondition(
+                series_group_key={"city": "Sao Paulo"},
+                smart_detection_condition=SmartDetectionCondition(
+                    anomaly_detector_direction="Both",
+                    sensitivity=63,
+                    suppress_condition=SuppressCondition(
+                        min_number=1,
+                        min_ratio=100
+                    )
+                )
+            )]
+        )
+        return detection_config, data_feed
+
+    def _create_email_hook_for_update(self, name):
+        return self.admin_client.create_hook(
+            hook=EmailNotificationHook(
+                name=name,
+                emails_to_alert=["yournamehere@microsoft.com"],
+                description="my email hook",
+                external_link="external link"
+            )
+        )
+
+    def _create_web_hook_for_update(self, name):
+        return self.admin_client.create_hook(
+            hook=WebNotificationHook(
+                name=name,
+                endpoint="https://httpbin.org/post",
+                description="my web hook",
+                external_link="external link",
+                username="krista",
+                password="123"
+            )
+        )
+
+
+class TestMetricsAdvisorClientBase(AzureTestCase):
+    FILTER_HEADERS = ReplayableTest.FILTER_HEADERS + ['Ocp-Apim-Subscription-Key', 'x-api-key']
+
+    def __init__(self, method_name):
+        super(TestMetricsAdvisorClientBase, self).__init__(method_name)
+        self.vcr.match_on = ["path", "method", "query"]
+        if self.is_live:
+            service_endpoint = self.get_settings_value("METRICS_ADVISOR_ENDPOINT")
+            self.anomaly_detection_configuration_id = self.get_settings_value("METRICS_ADVISOR_ANOMALY_DETECTION_CONFIGURATION_ID")
+            self.anomaly_alert_configuration_id = self.get_settings_value("METRICS_ADVISOR_ANOMALY_ALERT_CONFIGURATION_ID")
+            self.metric_id = self.get_settings_value("METRICS_ADVISOR_METRIC_ID")
+            self.incident_id = self.get_settings_value("METRICS_ADVISOR_INCIDENT_ID")
+            self.dimension_name = self.get_settings_value("METRICS_ADVISOR_DIMENSION_NAME")
+            self.feedback_id = self.get_settings_value("METRICS_ADVISOR_FEEDBACK_ID")
+            self.alert_id = self.get_settings_value("METRICS_ADVISOR_ALERT_ID")
+            credential = DefaultAzureCredential()
+            self.scrubber.register_name_pair(
+                self.anomaly_detection_configuration_id,
+                "anomaly_detection_configuration_id"
+            )
+            self.scrubber.register_name_pair(
+                self.anomaly_alert_configuration_id,
+                "anomaly_alert_configuration_id"
+            )
+            self.scrubber.register_name_pair(
+                self.metric_id,
+                "metric_id"
+            )
+            self.scrubber.register_name_pair(
+                self.incident_id,
+                "incident_id"
+            )
+            self.scrubber.register_name_pair(
+                self.dimension_name,
+                "dimension_name"
+            )
+            self.scrubber.register_name_pair(
+                self.feedback_id,
+                "feedback_id"
+            )
+            self.scrubber.register_name_pair(
+                self.alert_id,
+                "alert_id"
+            )
+        else:
+            service_endpoint = "https://endpointname.cognitiveservices.azure.com"
+            self.anomaly_detection_configuration_id = "anomaly_detection_configuration_id"
+            self.anomaly_alert_configuration_id = "anomaly_alert_configuration_id"
+            self.metric_id = "metric_id"
+            self.incident_id = "incident_id"
+            self.dimension_name = "dimension_name"
+            self.feedback_id = "feedback_id"
+            self.alert_id = "alert_id"
+            credential = MockCredential()
+
+        self.client = MetricsAdvisorClient(service_endpoint, credential)
+
diff --git a/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_alert_config.test_create_alert_config_multiple_configurations.yaml b/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_alert_config.test_create_alert_config_multiple_configurations.yaml
index 7818cddba0ad..991a398a4d51 100644
--- a/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_alert_config.test_create_alert_config_multiple_configurations.yaml
+++ b/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_alert_config.test_create_alert_config_multiple_configurations.yaml
@@ -1,12 +1,12 @@
 interactions:
 - request:
-    body: '{"dataSourceType": "SqlServer", "dataFeedName": "multiple88a81b2f", "granularityName":
-      "Daily", "metrics": [{"metricName": "cost"}, {"metricName": "revenue"}], "dimension":
-      [{"dimensionName": "category"}, {"dimensionName": "city"}], "timestampColumn":
-      "Timestamp", "dataStartFrom": "2019-10-01T00:00:00.000Z", "startOffsetInSeconds":
+    body: '{"dataSourceType": "SqlServer", "dataFeedName": "multipleapmtyioz5ggmwkod",
+      "granularityName": "Daily", "metrics": [{"metricName": "cost"}, {"metricName":
+      "revenue"}], "dimension": [{"dimensionName": "category"}, {"dimensionName":
+      "city"}], "dataStartFrom": "2019-10-01T00:00:00.000Z", "startOffsetInSeconds":
       0, "maxConcurrency": -1, "minRetryIntervalInSeconds": -1, "stopRetryAfterInSeconds":
       -1, "dataSourceParameter": {"connectionString": "connectionstring", "query":
-      "select * from adsample2 where Timestamp = @StartTime"}}'
+      "select\u202f*\u202ffrom\u202fadsample2\u202fwhere\u202fTimestamp\u202f=\u202f@StartTime"}}'
     headers:
       Accept:
       - application/json
@@ -15,11 +15,11 @@ interactions:
       Connection:
       - keep-alive
       Content-Length:
-      - '768'
+      - '779'
       Content-Type:
       - application/json
       User-Agent:
-      - azsdk-python-ai-metricsadvisor/1.0.0b2 Python/3.8.5 (Windows-10-10.0.19041-SP0)
+      - azsdk-python-ai-metricsadvisor/1.0.0b3 Python/3.8.6 (Windows-10-10.0.19041-SP0)
     method: POST
     uri: https://js-metrics-advisor.cognitiveservices.azure.com/metricsadvisor/v1.0/dataFeeds
   response:
@@ -27,21 +27,21 @@ interactions:
       string: ''
     headers:
       apim-request-id:
-      - 7df25edb-2401-4832-abd7-7e11551096bc
+      - 25bb71f2-ae36-48ee-856c-d9a783775e6f
       content-length:
       - '0'
       date:
-      - Mon, 26 Oct 2020 17:31:50 GMT
+      - Sat, 26 Dec 2020 19:27:05 GMT
       location:
-      - https://js-metrics-advisor.cognitiveservices.azure.com/metricsadvisor/v1.0/dataFeeds/7cbe9237-2505-4d83-b931-d8ce6943df9b
+      - https://js-metrics-advisor.cognitiveservices.azure.com/metricsadvisor/v1.0/dataFeeds/c1ccecc5-6123-4177-9d83-2a82dc1e6cee
       strict-transport-security:
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       x-content-type-options:
       - nosniff
       x-envoy-upstream-service-time:
-      - '1316'
+      - '1064'
       x-request-id:
-      - 7df25edb-2401-4832-abd7-7e11551096bc
+      - 25bb71f2-ae36-48ee-856c-d9a783775e6f
     status:
       code: 201
       message: Created
@@ -55,38 +55,37 @@ interactions:
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       - keep-alive
       User-Agent:
-      - azsdk-python-ai-metricsadvisor/1.0.0b2 Python/3.8.5 (Windows-10-10.0.19041-SP0)
+      - azsdk-python-ai-metricsadvisor/1.0.0b3 Python/3.8.6 (Windows-10-10.0.19041-SP0)
     method: GET
-    uri: https://js-metrics-advisor.cognitiveservices.azure.com/metricsadvisor/v1.0/dataFeeds/7cbe9237-2505-4d83-b931-d8ce6943df9b
+    uri: https://js-metrics-advisor.cognitiveservices.azure.com/metricsadvisor/v1.0/dataFeeds/c1ccecc5-6123-4177-9d83-2a82dc1e6cee
   response:
     body:
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+      string: "{\"dataFeedId\":\"c1ccecc5-6123-4177-9d83-2a82dc1e6cee\",\"dataFeedName\":\"multipleapmtyioz5ggmwkod\",\"metrics\":[{\"metricId\":\"bf53ce00-73a6-4f74-b090-4f2ab02cfbd4\",\"metricName\":\"cost\",\"metricDisplayName\":\"cost\",\"metricDescription\":\"\"},{\"metricId\":\"1a3656ad-6bfd-46be-9ae7-45e09e28181a\",\"metricName\":\"revenue\",\"metricDisplayName\":\"revenue\",\"metricDescription\":\"\"}],\"dimension\":[{\"dimensionName\":\"category\",\"dimensionDisplayName\":\"category\"},{\"dimensionName\":\"city\",\"dimensionDisplayName\":\"city\"}],\"dataStartFrom\":\"2019-10-01T00:00:00Z\",\"dataSourceType\":\"SqlServer\",\"timestampColumn\":\"\",\"startOffsetInSeconds\":0,\"maxQueryPerMinute\":30.0,\"granularityName\":\"Daily\",\"granularityAmount\":null,\"allUpIdentification\":null,\"needRollup\":\"NoRollup\",\"fillMissingPointType\":\"PreviousValue\",\"fillMissingPointValue\":0.0,\"rollUpMethod\":\"None\",\"rollUpColumns\":[],\"dataFeedDescription\":\"\",\"stopRetryAfterInSeconds\":-1,\"minRetryIntervalInSeconds\":-1,\"maxConcurrency\":-1,\"viewMode\":\"Private\",\"admins\":[\"krpratic@microsoft.com\"],\"viewers\":[],\"creator\":\"krpratic@microsoft.com\",\"status\":\"Active\",\"createdTime\":\"2020-12-26T19:27:05Z\",\"isAdmin\":true,\"actionLinkTemplate\":\"\",\"dataSourceParameter\":{\"connectionString\":\"connectionstring\",\"query\":\"select\u202F*\u202Ffrom\u202Fadsample2\u202Fwhere\u202FTimestamp\u202F=\u202F@StartTime\"}}"
     headers:
       apim-request-id:
-      - f3257453-e383-458b-a5d4-c5f9d1cbabd0
+      - fe5033aa-6382-4e06-b491-03ffb6796ce9
       content-length:
-      - '1484'
+      - '1497'
       content-type:
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       date:
-      - Mon, 26 Oct 2020 17:31:51 GMT
+      - Sat, 26 Dec 2020 19:27:06 GMT
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       x-content-type-options:
       - nosniff
       x-envoy-upstream-service-time:
-      - '292'
+      - '1119'
       x-request-id:
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+      - fe5033aa-6382-4e06-b491-03ffb6796ce9
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       message: OK
 - request:
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-      "wholeMetricConfiguration": {"smartDetectionCondition": {"sensitivity": 50.0,
-      "anomalyDetectorDirection": "Both", "suppressCondition": {"minNumber": 50, "minRatio":
-      50.0}}}}'
+    body: '{"name": "multiplelkz5uwzts43rppw6", "description": "testing", "metricId":
+      "bf53ce00-73a6-4f74-b090-4f2ab02cfbd4", "wholeMetricConfiguration": {"smartDetectionCondition":
+      {"sensitivity": 50.0, "anomalyDetectorDirection": "Both", "suppressCondition":
+      {"minNumber": 50, "minRatio": 50.0}}}}'
     headers:
       Accept:
       - application/json
@@ -95,11 +94,11 @@ interactions:
       Connection:
       - keep-alive
       Content-Length:
-      - '280'
+      - '288'
       Content-Type:
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       User-Agent:
-      - azsdk-python-ai-metricsadvisor/1.0.0b2 Python/3.8.5 (Windows-10-10.0.19041-SP0)
+      - azsdk-python-ai-metricsadvisor/1.0.0b3 Python/3.8.6 (Windows-10-10.0.19041-SP0)
     method: POST
     uri: https://js-metrics-advisor.cognitiveservices.azure.com/metricsadvisor/v1.0/enrichment/anomalyDetection/configurations
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@@ -107,21 +106,21 @@ interactions:
       string: ''
     headers:
       apim-request-id:
-      - 83e29396-21a6-4ed7-8c6f-c2801883283f
+      - 9068d688-7039-4317-8d3a-ce5e9af7183c
       content-length:
       - '0'
       date:
-      - Mon, 26 Oct 2020 17:31:51 GMT
+      - Sat, 26 Dec 2020 19:27:06 GMT
       location:
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+      - https://js-metrics-advisor.cognitiveservices.azure.com/metricsadvisor/v1.0/enrichment/anomalyDetection/configurations/36cf4023-562f-4737-a1a6-7ca5af19e5b5
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       x-envoy-upstream-service-time:
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+      - 9068d688-7039-4317-8d3a-ce5e9af7183c
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       message: Created
@@ -135,41 +134,41 @@ interactions:
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+      - azsdk-python-ai-metricsadvisor/1.0.0b3 Python/3.8.6 (Windows-10-10.0.19041-SP0)
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-    uri: https://js-metrics-advisor.cognitiveservices.azure.com/metricsadvisor/v1.0/enrichment/anomalyDetection/configurations/4edac84f-cf94-44bf-a4e5-a00cdafd8a81
+    uri: https://js-metrics-advisor.cognitiveservices.azure.com/metricsadvisor/v1.0/enrichment/anomalyDetection/configurations/36cf4023-562f-4737-a1a6-7ca5af19e5b5
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+      - Sat, 26 Dec 2020 19:27:08 GMT
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+      - azsdk-python-ai-metricsadvisor/1.0.0b3 Python/3.8.6 (Windows-10-10.0.19041-SP0)
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index 9a6eef8eecd4..31e3f16b1fab 100644
--- a/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_alert_config.test_create_alert_config_series_group_alert_direction_both.yaml
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index 6dcf23e73017..11b36400cdf6 100644
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index 96a8d8768bee..376e5c8e35c3 100644
--- a/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_alert_config.test_create_alert_config_series_group_alert_direction_up.yaml
+++ b/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_alert_config.test_create_alert_config_series_group_alert_direction_up.yaml
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index e13ce2fa1bff..1110169f4f66 100644
--- a/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_alert_config.test_create_alert_config_series_group_severity_condition.yaml
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diff --git a/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_alert_config.test_create_alert_config_snooze_condition.yaml b/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_alert_config.test_create_alert_config_snooze_condition.yaml
index 16f2d214610f..3645a75dfe22 100644
--- a/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_alert_config.test_create_alert_config_snooze_condition.yaml
+++ b/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_alert_config.test_create_alert_config_snooze_condition.yaml
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index d0cea241e6c2..5efe6169c895 100644
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diff --git a/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_alert_config.test_create_alert_config_top_n_alert_direction_down.yaml b/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_alert_config.test_create_alert_config_top_n_alert_direction_down.yaml
index 84a080d3fd7d..0653c6d3e6b5 100644
--- a/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_alert_config.test_create_alert_config_top_n_alert_direction_down.yaml
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diff --git a/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_alert_config.test_create_alert_config_top_n_alert_direction_up.yaml b/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_alert_config.test_create_alert_config_top_n_alert_direction_up.yaml
index ec5cd5570655..0427633f6fab 100644
--- a/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_alert_config.test_create_alert_config_top_n_alert_direction_up.yaml
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index db7842958658..eaff48ba882a 100644
--- a/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_alert_config.test_create_alert_config_whole_series_alert_direction_both.yaml
+++ b/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_alert_config.test_create_alert_config_whole_series_alert_direction_both.yaml
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index 550f625b3fe6..9b7de5a700ac 100644
--- a/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_alert_config.test_create_alert_config_whole_series_alert_direction_down.yaml
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index 0f5669191136..549548597fea 100644
--- a/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_alert_config.test_create_alert_config_whole_series_alert_direction_up.yaml
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index de522c770216..0877cecd15fa 100644
--- a/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_alert_config.test_create_alert_config_whole_series_severity_condition.yaml
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index f9d7a378c458..b95c9375ef83 100644
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diff --git a/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_alert_config.test_update_alert_config_with_kwargs.yaml b/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_alert_config.test_update_alert_config_with_kwargs.yaml
index b13d09d91b03..1631801b29fd 100644
--- a/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_alert_config.test_update_alert_config_with_kwargs.yaml
+++ b/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_alert_config.test_update_alert_config_with_kwargs.yaml
@@ -1,12 +1,12 @@
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index 2d9fec2ba5b7..d9cf7c632358 100644
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index c1bfc0b2b74a..3810bf62c31e 100644
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diff --git a/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_alert_config_aad.test_create_alert_config_multiple_configurations.yaml b/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_alert_config_aad.test_create_alert_config_multiple_configurations.yaml
new file mode 100644
index 000000000000..4816bda53c12
--- /dev/null
+++ b/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_alert_config_aad.test_create_alert_config_multiple_configurations.yaml
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new file mode 100644
index 000000000000..fbd9646a0e69
--- /dev/null
+++ b/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_alert_config_aad.test_create_alert_config_series_group_alert_direction_both.yaml
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new file mode 100644
index 000000000000..d4c41cf754aa
--- /dev/null
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new file mode 100644
index 000000000000..9ed0d295fb51
--- /dev/null
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new file mode 100644
index 000000000000..95de3498a94b
--- /dev/null
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new file mode 100644
index 000000000000..120bbf203814
--- /dev/null
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new file mode 100644
index 000000000000..ea59ffd340c3
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new file mode 100644
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new file mode 100644
index 000000000000..214cb56a8771
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new file mode 100644
index 000000000000..9512c531a076
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new file mode 100644
index 000000000000..6e465ddd0f91
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new file mode 100644
index 000000000000..5b9dd6342ec8
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diff --git a/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_alert_config_aad.test_list_alert_configs.yaml b/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_alert_config_aad.test_list_alert_configs.yaml
new file mode 100644
index 000000000000..57ac34231bfa
--- /dev/null
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new file mode 100644
index 000000000000..7958a7786097
--- /dev/null
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new file mode 100644
index 000000000000..bd17aac7daf1
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new file mode 100644
index 000000000000..c99affcf8dce
--- /dev/null
+++ b/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_data_feed_ingestion_aad.test_refresh_data_feed_ingestion.yaml
@@ -0,0 +1,40 @@
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+    method: POST
+    uri: https://js-metrics-advisor.cognitiveservices.azure.com/metricsadvisor/v1.0/dataFeeds/data_feed_id/ingestionProgress/reset
+  response:
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diff --git a/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_data_feeds.test_create_data_feed_from_sql_server.yaml b/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_data_feeds.test_create_data_feed_from_sql_server.yaml
index e346772aa0d8..c3ad876cea0a 100644
--- a/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_data_feeds.test_create_data_feed_from_sql_server.yaml
+++ b/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_data_feeds.test_create_data_feed_from_sql_server.yaml
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-      "query": "select * from adsample2 where Timestamp = @StartTime"}}'
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-    uri: https://js-metrics-advisor.cognitiveservices.azure.com/metricsadvisor/v1.0/dataFeeds/a709da56-5240-4987-94e3-b1226da5dcfb
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diff --git a/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_data_feeds.test_create_data_feed_from_sql_server_with_custom_values.yaml b/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_data_feeds.test_create_data_feed_from_sql_server_with_custom_values.yaml
index dd56fc635802..c2e2fe2199e1 100644
--- a/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_data_feeds.test_create_data_feed_from_sql_server_with_custom_values.yaml
+++ b/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_data_feeds.test_create_data_feed_from_sql_server_with_custom_values.yaml
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-      - azsdk-python-ai-metricsadvisor/1.0.0b2 Python/3.8.5 (Windows-10-10.0.19041-SP0)
+      - azsdk-python-ai-metricsadvisor/1.0.0b3 Python/3.8.6 (Windows-10-10.0.19041-SP0)
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-    uri: https://js-metrics-advisor.cognitiveservices.azure.com/metricsadvisor/v1.0/dataFeeds/65b5c849-4e9b-4c97-9f92-6527e446daf5
+    uri: https://js-metrics-advisor.cognitiveservices.azure.com/metricsadvisor/v1.0/dataFeeds/377f2796-2dca-4f37-a816-7d55f2eddeed
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+    uri: https://js-metrics-advisor.cognitiveservices.azure.com/metricsadvisor/v1.0/dataFeeds/377f2796-2dca-4f37-a816-7d55f2eddeed
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-      - Mon, 26 Oct 2020 17:34:23 GMT
+      - Sat, 26 Dec 2020 19:29:42 GMT
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+    uri: https://js-metrics-advisor.cognitiveservices.azure.com/metricsadvisor/v1.0/dataFeeds/377f2796-2dca-4f37-a816-7d55f2eddeed
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diff --git a/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_data_feeds.test_create_data_feed_with_application_insights.yaml b/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_data_feeds.test_create_data_feed_with_application_insights.yaml
index 50239d475ce7..625fb1fe0fc1 100644
--- a/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_data_feeds.test_create_data_feed_with_application_insights.yaml
+++ b/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_data_feeds.test_create_data_feed_with_application_insights.yaml
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@@ -31,21 +31,21 @@ interactions:
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-      - Mon, 26 Oct 2020 17:34:24 GMT
+      - Sat, 26 Dec 2020 19:29:42 GMT
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+      - azsdk-python-ai-metricsadvisor/1.0.0b3 Python/3.8.6 (Windows-10-10.0.19041-SP0)
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-    uri: https://js-metrics-advisor.cognitiveservices.azure.com/metricsadvisor/v1.0/dataFeeds/19677dae-6da1-45ee-81ca-8abbf7b48b6c
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diff --git a/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_data_feeds.test_create_data_feed_with_azure_blob.yaml b/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_data_feeds.test_create_data_feed_with_azure_blob.yaml
index 11b845792137..242bb0d5e868 100644
--- a/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_data_feeds.test_create_data_feed_with_azure_blob.yaml
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index a265201024ff..1dea6fa34469 100644
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diff --git a/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_data_feeds.test_list_data_feeds_with_data_feed_name.yaml b/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_data_feeds.test_list_data_feeds_with_data_feed_name.yaml
index bd637c75c01d..a021e7769302 100644
--- a/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_data_feeds.test_list_data_feeds_with_data_feed_name.yaml
+++ b/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_data_feeds.test_list_data_feeds_with_data_feed_name.yaml
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diff --git a/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_data_feeds.test_list_data_feeds_with_granularity_type.yaml b/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_data_feeds.test_list_data_feeds_with_granularity_type.yaml
index 84fe0d682f0f..d5782a059771 100644
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diff --git a/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_data_feeds.test_list_data_feeds_with_skip.yaml b/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_data_feeds.test_list_data_feeds_with_skip.yaml
index 3e1ae2962309..415fdfaa25be 100644
--- a/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_data_feeds.test_list_data_feeds_with_skip.yaml
+++ b/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_data_feeds.test_list_data_feeds_with_skip.yaml
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diff --git a/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_data_feeds.test_list_data_feeds_with_source_type.yaml b/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_data_feeds.test_list_data_feeds_with_source_type.yaml
index 0e7caaaf2d86..f3fc8bf96fba 100644
--- a/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_data_feeds.test_list_data_feeds_with_source_type.yaml
+++ b/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_data_feeds.test_list_data_feeds_with_source_type.yaml
@@ -9,39 +9,31 @@ interactions:
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index 4abd46deadd2..a0d2d0a22e45 100644
--- a/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_data_feeds.test_list_data_feeds_with_status.yaml
+++ b/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_data_feeds.test_list_data_feeds_with_status.yaml
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diff --git a/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_data_feeds.test_update_data_feed_by_reseting_properties.yaml b/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_data_feeds.test_update_data_feed_by_reseting_properties.yaml
index 9d2e2a1552eb..d58b1f47c495 100644
--- a/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_data_feeds.test_update_data_feed_by_reseting_properties.yaml
+++ b/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_data_feeds.test_update_data_feed_by_reseting_properties.yaml
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-    uri: https://js-metrics-advisor.cognitiveservices.azure.com/metricsadvisor/v1.0/dataFeeds/af25a658-a2fd-48a1-a771-91b9580c9215
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diff --git a/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_data_feeds.test_update_data_feed_with_kwargs.yaml b/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_data_feeds.test_update_data_feed_with_kwargs.yaml
index 9be202a77a39..bb5187e69daf 100644
--- a/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_data_feeds.test_update_data_feed_with_kwargs.yaml
+++ b/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_data_feeds.test_update_data_feed_with_kwargs.yaml
@@ -1,18 +1,18 @@
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+    uri: https://js-metrics-advisor.cognitiveservices.azure.com/metricsadvisor/v1.0/dataFeeds/57b6786f-1fd2-42c3-809d-449e5a058071
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+    uri: https://js-metrics-advisor.cognitiveservices.azure.com/metricsadvisor/v1.0/dataFeeds/57b6786f-1fd2-42c3-809d-449e5a058071
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+    uri: https://js-metrics-advisor.cognitiveservices.azure.com/metricsadvisor/v1.0/dataFeeds/57b6786f-1fd2-42c3-809d-449e5a058071
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diff --git a/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_data_feeds.test_update_data_feed_with_model.yaml b/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_data_feeds.test_update_data_feed_with_model.yaml
index ddddd128836b..93e05a3f3b47 100644
--- a/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_data_feeds.test_update_data_feed_with_model.yaml
+++ b/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_data_feeds.test_update_data_feed_with_model.yaml
@@ -1,18 +1,18 @@
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diff --git a/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_data_feeds_aad.test_create_data_feed_with_application_insights.yaml b/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_data_feeds_aad.test_create_data_feed_with_application_insights.yaml
new file mode 100644
index 000000000000..4ee7fbe9b5b8
--- /dev/null
+++ b/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_data_feeds_aad.test_create_data_feed_with_application_insights.yaml
@@ -0,0 +1,128 @@
+interactions:
+- request:
+    body: '{"dataSourceType": "AzureApplicationInsights", "dataFeedName": "applicationinsights92c61b28",
+      "granularityName": "Daily", "metrics": [{"metricName": "cost"}, {"metricName":
+      "revenue"}], "dimension": [{"dimensionName": "category"}, {"dimensionName":
+      "city"}], "dataStartFrom": "2020-07-01T00:00:00.000Z", "startOffsetInSeconds":
+      0, "maxConcurrency": -1, "minRetryIntervalInSeconds": -1, "stopRetryAfterInSeconds":
+      -1, "dataSourceParameter": {"azureCloud": "Azure", "applicationId": "3706fe8b-98f1-47c7-bf69-b73b6e53274d",
+      "apiKey": "connectionstring", "query": "let gran=60m; let starttime=datetime(@StartTime);
+      let endtime=starttime + gran; requests | where timestamp >= starttime and timestamp
+      < endtime | summarize request_count = count(), duration_avg_ms = avg(duration),
+      duration_95th_ms = percentile(duration, 95), duration_max_ms = max(duration)
+      by resultCode"}}'
+    headers:
+      Accept:
+      - application/json
+      Accept-Encoding:
+      - gzip, deflate
+      Connection:
+      - keep-alive
+      Content-Length:
+      - '892'
+      Content-Type:
+      - application/json
+      User-Agent:
+      - azsdk-python-ai-metricsadvisor/1.0.0b3 Python/3.8.6 (Windows-10-10.0.19041-SP0)
+    method: POST
+    uri: https://js-metrics-advisor.cognitiveservices.azure.com/metricsadvisor/v1.0/dataFeeds
+  response:
+    body:
+      string: ''
+    headers:
+      apim-request-id:
+      - d740de21-e54d-4c0d-8dbe-a002cee9bf85
+      content-length:
+      - '0'
+      date:
+      - Sat, 26 Dec 2020 19:30:51 GMT
+      location:
+      - https://js-metrics-advisor.cognitiveservices.azure.com/metricsadvisor/v1.0/dataFeeds/4a22c9c1-3c9c-4adb-abb7-7e789d7e471c
+      strict-transport-security:
+      - max-age=31536000; includeSubDomains; preload
+      x-content-type-options:
+      - nosniff
+      x-envoy-upstream-service-time:
+      - '664'
+      x-request-id:
+      - d740de21-e54d-4c0d-8dbe-a002cee9bf85
+    status:
+      code: 201
+      message: Created
+- request:
+    body: null
+    headers:
+      Accept:
+      - application/json
+      Accept-Encoding:
+      - gzip, deflate
+      Connection:
+      - keep-alive
+      User-Agent:
+      - azsdk-python-ai-metricsadvisor/1.0.0b3 Python/3.8.6 (Windows-10-10.0.19041-SP0)
+    method: GET
+    uri: https://js-metrics-advisor.cognitiveservices.azure.com/metricsadvisor/v1.0/dataFeeds/4a22c9c1-3c9c-4adb-abb7-7e789d7e471c
+  response:
+    body:
+      string: '{"dataFeedId":"4a22c9c1-3c9c-4adb-abb7-7e789d7e471c","dataFeedName":"applicationinsights92c61b28","metrics":[{"metricId":"2b5c2752-eb18-409d-8ffd-e34450d48813","metricName":"cost","metricDisplayName":"cost","metricDescription":""},{"metricId":"ef9198f2-df50-4392-aaa6-1c6c12bdf332","metricName":"revenue","metricDisplayName":"revenue","metricDescription":""}],"dimension":[{"dimensionName":"category","dimensionDisplayName":"category"},{"dimensionName":"city","dimensionDisplayName":"city"}],"dataStartFrom":"2020-07-01T00:00:00Z","dataSourceType":"AzureApplicationInsights","timestampColumn":"","startOffsetInSeconds":0,"maxQueryPerMinute":30.0,"granularityName":"Daily","granularityAmount":null,"allUpIdentification":null,"needRollup":"NoRollup","fillMissingPointType":"PreviousValue","fillMissingPointValue":0.0,"rollUpMethod":"None","rollUpColumns":[],"dataFeedDescription":"","stopRetryAfterInSeconds":-1,"minRetryIntervalInSeconds":-1,"maxConcurrency":-1,"viewMode":"Private","admins":["f850650c-1fcf-4489-b46f-71af2e30d360"],"viewers":[],"creator":"f850650c-1fcf-4489-b46f-71af2e30d360","status":"Active","createdTime":"2020-12-26T19:30:51Z","isAdmin":true,"actionLinkTemplate":"","dataSourceParameter":{"apiKey":"connectionstring","query":"let
+        gran=60m; let starttime=datetime(@StartTime); let endtime=starttime + gran;
+        requests | where timestamp >= starttime and timestamp < endtime | summarize
+        request_count = count(), duration_avg_ms = avg(duration), duration_95th_ms
+        = percentile(duration, 95), duration_max_ms = max(duration) by resultCode","azureCloud":"Azure","applicationId":"3706fe8b-98f1-47c7-bf69-b73b6e53274d"}}'
+    headers:
+      apim-request-id:
+      - 6057b6a5-15d2-4dbf-8983-f256189a7877
+      content-length:
+      - '1655'
+      content-type:
+      - application/json; charset=utf-8
+      date:
+      - Sat, 26 Dec 2020 19:30:51 GMT
+      strict-transport-security:
+      - max-age=31536000; includeSubDomains; preload
+      x-content-type-options:
+      - nosniff
+      x-envoy-upstream-service-time:
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+      x-request-id:
+      - 6057b6a5-15d2-4dbf-8983-f256189a7877
+    status:
+      code: 200
+      message: OK
+- request:
+    body: null
+    headers:
+      Accept:
+      - application/json
+      Accept-Encoding:
+      - gzip, deflate
+      Connection:
+      - keep-alive
+      Content-Length:
+      - '0'
+      User-Agent:
+      - azsdk-python-ai-metricsadvisor/1.0.0b3 Python/3.8.6 (Windows-10-10.0.19041-SP0)
+    method: DELETE
+    uri: https://js-metrics-advisor.cognitiveservices.azure.com/metricsadvisor/v1.0/dataFeeds/4a22c9c1-3c9c-4adb-abb7-7e789d7e471c
+  response:
+    body:
+      string: ''
+    headers:
+      apim-request-id:
+      - 0a918315-a363-41aa-978c-561464b1326a
+      content-length:
+      - '0'
+      date:
+      - Sat, 26 Dec 2020 19:30:51 GMT
+      strict-transport-security:
+      - max-age=31536000; includeSubDomains; preload
+      x-content-type-options:
+      - nosniff
+      x-envoy-upstream-service-time:
+      - '463'
+      x-request-id:
+      - 0a918315-a363-41aa-978c-561464b1326a
+    status:
+      code: 204
+      message: No Content
+version: 1
diff --git a/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_data_feeds_aad.test_create_data_feed_with_azure_blob.yaml b/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_data_feeds_aad.test_create_data_feed_with_azure_blob.yaml
new file mode 100644
index 000000000000..6c6ab1e2763e
--- /dev/null
+++ b/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_data_feeds_aad.test_create_data_feed_with_azure_blob.yaml
@@ -0,0 +1,120 @@
+interactions:
+- request:
+    body: '{"dataSourceType": "AzureBlob", "dataFeedName": "blobfeed96d316f1", "granularityName":
+      "Daily", "metrics": [{"metricName": "cost"}, {"metricName": "revenue"}], "dimension":
+      [{"dimensionName": "category"}, {"dimensionName": "city"}], "dataStartFrom":
+      "2019-10-01T00:00:00.000Z", "startOffsetInSeconds": 0, "maxConcurrency": -1,
+      "minRetryIntervalInSeconds": -1, "stopRetryAfterInSeconds": -1, "dataSourceParameter":
+      {"connectionString": "connectionstring", "container": "adsample", "blobTemplate":
+      "%Y/%m/%d/%h/JsonFormatV2.json"}}'
+    headers:
+      Accept:
+      - application/json
+      Accept-Encoding:
+      - gzip, deflate
+      Connection:
+      - keep-alive
+      Content-Length:
+      - '899'
+      Content-Type:
+      - application/json
+      User-Agent:
+      - azsdk-python-ai-metricsadvisor/1.0.0b3 Python/3.8.6 (Windows-10-10.0.19041-SP0)
+    method: POST
+    uri: https://js-metrics-advisor.cognitiveservices.azure.com/metricsadvisor/v1.0/dataFeeds
+  response:
+    body:
+      string: ''
+    headers:
+      apim-request-id:
+      - 235131e7-b3b9-45c1-838b-20137ba42f7e
+      content-length:
+      - '0'
+      date:
+      - Sat, 26 Dec 2020 19:30:53 GMT
+      location:
+      - https://js-metrics-advisor.cognitiveservices.azure.com/metricsadvisor/v1.0/dataFeeds/606fd4ed-1ee9-4a1f-a7f0-073d602411a4
+      strict-transport-security:
+      - max-age=31536000; includeSubDomains; preload
+      x-content-type-options:
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+      x-envoy-upstream-service-time:
+      - '701'
+      x-request-id:
+      - 235131e7-b3b9-45c1-838b-20137ba42f7e
+    status:
+      code: 201
+      message: Created
+- request:
+    body: null
+    headers:
+      Accept:
+      - application/json
+      Accept-Encoding:
+      - gzip, deflate
+      Connection:
+      - keep-alive
+      User-Agent:
+      - azsdk-python-ai-metricsadvisor/1.0.0b3 Python/3.8.6 (Windows-10-10.0.19041-SP0)
+    method: GET
+    uri: https://js-metrics-advisor.cognitiveservices.azure.com/metricsadvisor/v1.0/dataFeeds/606fd4ed-1ee9-4a1f-a7f0-073d602411a4
+  response:
+    body:
+      string: '{"dataFeedId":"606fd4ed-1ee9-4a1f-a7f0-073d602411a4","dataFeedName":"blobfeed96d316f1","metrics":[{"metricId":"45ed52be-e37b-41ee-a623-14cfe2cacba0","metricName":"cost","metricDisplayName":"cost","metricDescription":""},{"metricId":"ef6af3ea-6796-4b89-9781-ea012a0121ab","metricName":"revenue","metricDisplayName":"revenue","metricDescription":""}],"dimension":[{"dimensionName":"category","dimensionDisplayName":"category"},{"dimensionName":"city","dimensionDisplayName":"city"}],"dataStartFrom":"2019-10-01T00:00:00Z","dataSourceType":"AzureBlob","timestampColumn":"","startOffsetInSeconds":0,"maxQueryPerMinute":30.0,"granularityName":"Daily","granularityAmount":null,"allUpIdentification":null,"needRollup":"NoRollup","fillMissingPointType":"PreviousValue","fillMissingPointValue":0.0,"rollUpMethod":"None","rollUpColumns":[],"dataFeedDescription":"","stopRetryAfterInSeconds":-1,"minRetryIntervalInSeconds":-1,"maxConcurrency":-1,"viewMode":"Private","admins":["f850650c-1fcf-4489-b46f-71af2e30d360"],"viewers":[],"creator":"f850650c-1fcf-4489-b46f-71af2e30d360","status":"Active","createdTime":"2020-12-26T19:30:53Z","isAdmin":true,"actionLinkTemplate":"","dataSourceParameter":{"container":"adsample","connectionString":"connectionstring","blobTemplate":"%Y/%m/%d/%h/JsonFormatV2.json"}}'
+    headers:
+      apim-request-id:
+      - 1acc5abe-7407-4cff-8a92-ec5f99d97ec7
+      content-length:
+      - '1664'
+      content-type:
+      - application/json; charset=utf-8
+      date:
+      - Sat, 26 Dec 2020 19:30:54 GMT
+      strict-transport-security:
+      - max-age=31536000; includeSubDomains; preload
+      x-content-type-options:
+      - nosniff
+      x-envoy-upstream-service-time:
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+      x-request-id:
+      - 1acc5abe-7407-4cff-8a92-ec5f99d97ec7
+    status:
+      code: 200
+      message: OK
+- request:
+    body: null
+    headers:
+      Accept:
+      - application/json
+      Accept-Encoding:
+      - gzip, deflate
+      Connection:
+      - keep-alive
+      Content-Length:
+      - '0'
+      User-Agent:
+      - azsdk-python-ai-metricsadvisor/1.0.0b3 Python/3.8.6 (Windows-10-10.0.19041-SP0)
+    method: DELETE
+    uri: https://js-metrics-advisor.cognitiveservices.azure.com/metricsadvisor/v1.0/dataFeeds/606fd4ed-1ee9-4a1f-a7f0-073d602411a4
+  response:
+    body:
+      string: ''
+    headers:
+      apim-request-id:
+      - 9d3942d6-bcca-4b07-a8a3-552214ac0521
+      content-length:
+      - '0'
+      date:
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+      strict-transport-security:
+      - max-age=31536000; includeSubDomains; preload
+      x-content-type-options:
+      - nosniff
+      x-envoy-upstream-service-time:
+      - '615'
+      x-request-id:
+      - 9d3942d6-bcca-4b07-a8a3-552214ac0521
+    status:
+      code: 204
+      message: No Content
+version: 1
diff --git a/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_data_feeds_aad.test_create_data_feed_with_azure_cosmos_db.yaml b/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_data_feeds_aad.test_create_data_feed_with_azure_cosmos_db.yaml
new file mode 100644
index 000000000000..d29c87e23329
--- /dev/null
+++ b/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_data_feeds_aad.test_create_data_feed_with_azure_cosmos_db.yaml
@@ -0,0 +1,122 @@
+interactions:
+- request:
+    body: '{"dataSourceType": "AzureCosmosDB", "dataFeedName": "cosmosfeed1054190b",
+      "granularityName": "Daily", "metrics": [{"metricName": "cost"}, {"metricName":
+      "revenue"}], "dimension": [{"dimensionName": "category"}, {"dimensionName":
+      "city"}], "dataStartFrom": "2019-10-01T00:00:00.000Z", "startOffsetInSeconds":
+      0, "maxConcurrency": -1, "minRetryIntervalInSeconds": -1, "stopRetryAfterInSeconds":
+      -1, "dataSourceParameter": {"connectionString": "connectionstring", "sqlQuery":
+      "''SELECT * FROM Items I where I.Timestamp >= @StartTime and I.Timestamp < @EndTime''",
+      "database": "adsample", "collectionId": "adsample"}}'
+    headers:
+      Accept:
+      - application/json
+      Accept-Encoding:
+      - gzip, deflate
+      Connection:
+      - keep-alive
+      Content-Length:
+      - '754'
+      Content-Type:
+      - application/json
+      User-Agent:
+      - azsdk-python-ai-metricsadvisor/1.0.0b3 Python/3.8.6 (Windows-10-10.0.19041-SP0)
+    method: POST
+    uri: https://js-metrics-advisor.cognitiveservices.azure.com/metricsadvisor/v1.0/dataFeeds
+  response:
+    body:
+      string: ''
+    headers:
+      apim-request-id:
+      - 09ce1583-57b6-4f42-8028-423115041119
+      content-length:
+      - '0'
+      date:
+      - Sat, 26 Dec 2020 19:30:56 GMT
+      location:
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+      x-request-id:
+      - 09ce1583-57b6-4f42-8028-423115041119
+    status:
+      code: 201
+      message: Created
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+    headers:
+      Accept:
+      - application/json
+      Accept-Encoding:
+      - gzip, deflate
+      Connection:
+      - keep-alive
+      User-Agent:
+      - azsdk-python-ai-metricsadvisor/1.0.0b3 Python/3.8.6 (Windows-10-10.0.19041-SP0)
+    method: GET
+    uri: https://js-metrics-advisor.cognitiveservices.azure.com/metricsadvisor/v1.0/dataFeeds/a809516a-1281-41bf-91ed-040b6f3c025a
+  response:
+    body:
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+      message: OK
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+      Accept-Encoding:
+      - gzip, deflate
+      Connection:
+      - keep-alive
+      Content-Length:
+      - '0'
+      User-Agent:
+      - azsdk-python-ai-metricsadvisor/1.0.0b3 Python/3.8.6 (Windows-10-10.0.19041-SP0)
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+    uri: https://js-metrics-advisor.cognitiveservices.azure.com/metricsadvisor/v1.0/dataFeeds/a809516a-1281-41bf-91ed-040b6f3c025a
+  response:
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+      message: No Content
+version: 1
diff --git a/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_data_feeds_aad.test_create_data_feed_with_azure_table.yaml b/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_data_feeds_aad.test_create_data_feed_with_azure_table.yaml
new file mode 100644
index 000000000000..012b477b4ad4
--- /dev/null
+++ b/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_data_feeds_aad.test_create_data_feed_with_azure_table.yaml
@@ -0,0 +1,121 @@
+interactions:
+- request:
+    body: '{"dataSourceType": "AzureTable", "dataFeedName": "tablefeedae44175a", "granularityName":
+      "Daily", "metrics": [{"metricName": "cost"}, {"metricName": "revenue"}], "dimension":
+      [{"dimensionName": "category"}, {"dimensionName": "city"}], "dataStartFrom":
+      "2019-10-01T00:00:00.000Z", "startOffsetInSeconds": 0, "maxConcurrency": -1,
+      "minRetryIntervalInSeconds": -1, "stopRetryAfterInSeconds": -1, "dataSourceParameter":
+      {"connectionString": "connectionstring", "table": "adsample", "query": "PartitionKey
+      ge ''@StartTime'' and PartitionKey lt ''@EndTime''"}}'
+    headers:
+      Accept:
+      - application/json
+      Accept-Encoding:
+      - gzip, deflate
+      Connection:
+      - keep-alive
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+    method: POST
+    uri: https://js-metrics-advisor.cognitiveservices.azure.com/metricsadvisor/v1.0/dataFeeds
+  response:
+    body:
+      string: ''
+    headers:
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+      content-length:
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+      Accept-Encoding:
+      - gzip, deflate
+      Connection:
+      - keep-alive
+      User-Agent:
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+  response:
+    body:
+      string: '{"dataFeedId":"cdc3720b-f80f-48a9-90e7-6924186b645a","dataFeedName":"tablefeedae44175a","metrics":[{"metricId":"ab7d7b7c-41f4-4914-b766-f6f84d06f1d5","metricName":"cost","metricDisplayName":"cost","metricDescription":""},{"metricId":"28bddcc0-cf74-47a8-a9b3-3497c0f47007","metricName":"revenue","metricDisplayName":"revenue","metricDescription":""}],"dimension":[{"dimensionName":"category","dimensionDisplayName":"category"},{"dimensionName":"city","dimensionDisplayName":"city"}],"dataStartFrom":"2019-10-01T00:00:00Z","dataSourceType":"AzureTable","timestampColumn":"","startOffsetInSeconds":0,"maxQueryPerMinute":30.0,"granularityName":"Daily","granularityAmount":null,"allUpIdentification":null,"needRollup":"NoRollup","fillMissingPointType":"PreviousValue","fillMissingPointValue":0.0,"rollUpMethod":"None","rollUpColumns":[],"dataFeedDescription":"","stopRetryAfterInSeconds":-1,"minRetryIntervalInSeconds":-1,"maxConcurrency":-1,"viewMode":"Private","admins":["f850650c-1fcf-4489-b46f-71af2e30d360"],"viewers":[],"creator":"f850650c-1fcf-4489-b46f-71af2e30d360","status":"Active","createdTime":"2020-12-26T19:30:59Z","isAdmin":true,"actionLinkTemplate":"","dataSourceParameter":{"connectionString":"connectionstring","query":"PartitionKey
+        ge ''@StartTime'' and PartitionKey lt ''@EndTime''","table":"adsample"}}'
+    headers:
+      apim-request-id:
+      - dd6ff0b2-c819-4419-94a1-3bb163ee7888
+      content-length:
+      - '1481'
+      content-type:
+      - application/json; charset=utf-8
+      date:
+      - Sat, 26 Dec 2020 19:30:59 GMT
+      strict-transport-security:
+      - max-age=31536000; includeSubDomains; preload
+      x-content-type-options:
+      - nosniff
+      x-envoy-upstream-service-time:
+      - '160'
+      x-request-id:
+      - dd6ff0b2-c819-4419-94a1-3bb163ee7888
+    status:
+      code: 200
+      message: OK
+- request:
+    body: null
+    headers:
+      Accept:
+      - application/json
+      Accept-Encoding:
+      - gzip, deflate
+      Connection:
+      - keep-alive
+      Content-Length:
+      - '0'
+      User-Agent:
+      - azsdk-python-ai-metricsadvisor/1.0.0b3 Python/3.8.6 (Windows-10-10.0.19041-SP0)
+    method: DELETE
+    uri: https://js-metrics-advisor.cognitiveservices.azure.com/metricsadvisor/v1.0/dataFeeds/cdc3720b-f80f-48a9-90e7-6924186b645a
+  response:
+    body:
+      string: ''
+    headers:
+      apim-request-id:
+      - a0bc5a5a-6502-4557-8933-db8e5dbccb36
+      content-length:
+      - '0'
+      date:
+      - Sat, 26 Dec 2020 19:30:59 GMT
+      strict-transport-security:
+      - max-age=31536000; includeSubDomains; preload
+      x-content-type-options:
+      - nosniff
+      x-envoy-upstream-service-time:
+      - '486'
+      x-request-id:
+      - a0bc5a5a-6502-4557-8933-db8e5dbccb36
+    status:
+      code: 204
+      message: No Content
+version: 1
diff --git a/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_data_feeds_aad.test_create_data_feed_with_data_explorer.yaml b/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_data_feeds_aad.test_create_data_feed_with_data_explorer.yaml
new file mode 100644
index 000000000000..75c054ff7688
--- /dev/null
+++ b/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_data_feeds_aad.test_create_data_feed_with_data_explorer.yaml
@@ -0,0 +1,123 @@
+interactions:
+- request:
+    body: '{"dataSourceType": "AzureDataExplorer", "dataFeedName": "azuredataexplorerdd4f1836",
+      "granularityName": "Daily", "metrics": [{"metricName": "cost"}, {"metricName":
+      "revenue"}], "dimension": [{"dimensionName": "category"}, {"dimensionName":
+      "city"}], "dataStartFrom": "2019-01-01T00:00:00.000Z", "startOffsetInSeconds":
+      0, "maxConcurrency": -1, "minRetryIntervalInSeconds": -1, "stopRetryAfterInSeconds":
+      -1, "dataSourceParameter": {"connectionString": "connectionstring", "query":
+      "let StartDateTime = datetime(@StartTime); let EndDateTime = StartDateTime +
+      1d; adsample | where Timestamp >= StartDateTime and Timestamp < EndDateTime"}}'
+    headers:
+      Accept:
+      - application/json
+      Accept-Encoding:
+      - gzip, deflate
+      Connection:
+      - keep-alive
+      Content-Length:
+      - '893'
+      Content-Type:
+      - application/json
+      User-Agent:
+      - azsdk-python-ai-metricsadvisor/1.0.0b3 Python/3.8.6 (Windows-10-10.0.19041-SP0)
+    method: POST
+    uri: https://js-metrics-advisor.cognitiveservices.azure.com/metricsadvisor/v1.0/dataFeeds
+  response:
+    body:
+      string: ''
+    headers:
+      apim-request-id:
+      - c4dde1ee-edad-4f9f-9b5e-2f9f85392a10
+      content-length:
+      - '0'
+      date:
+      - Sat, 26 Dec 2020 19:31:01 GMT
+      location:
+      - https://js-metrics-advisor.cognitiveservices.azure.com/metricsadvisor/v1.0/dataFeeds/0321d702-27c1-48ac-b6cc-487b578d26c5
+      strict-transport-security:
+      - max-age=31536000; includeSubDomains; preload
+      x-content-type-options:
+      - nosniff
+      x-envoy-upstream-service-time:
+      - '599'
+      x-request-id:
+      - c4dde1ee-edad-4f9f-9b5e-2f9f85392a10
+    status:
+      code: 201
+      message: Created
+- request:
+    body: null
+    headers:
+      Accept:
+      - application/json
+      Accept-Encoding:
+      - gzip, deflate
+      Connection:
+      - keep-alive
+      User-Agent:
+      - azsdk-python-ai-metricsadvisor/1.0.0b3 Python/3.8.6 (Windows-10-10.0.19041-SP0)
+    method: GET
+    uri: https://js-metrics-advisor.cognitiveservices.azure.com/metricsadvisor/v1.0/dataFeeds/0321d702-27c1-48ac-b6cc-487b578d26c5
+  response:
+    body:
+      string: '{"dataFeedId":"0321d702-27c1-48ac-b6cc-487b578d26c5","dataFeedName":"azuredataexplorerdd4f1836","metrics":[{"metricId":"6e9a5584-5929-4a17-a746-b013b6e547c3","metricName":"cost","metricDisplayName":"cost","metricDescription":""},{"metricId":"e8cb68ca-dfed-493e-9a20-26b1cb9b1a42","metricName":"revenue","metricDisplayName":"revenue","metricDescription":""}],"dimension":[{"dimensionName":"category","dimensionDisplayName":"category"},{"dimensionName":"city","dimensionDisplayName":"city"}],"dataStartFrom":"2019-01-01T00:00:00Z","dataSourceType":"AzureDataExplorer","timestampColumn":"","startOffsetInSeconds":0,"maxQueryPerMinute":30.0,"granularityName":"Daily","granularityAmount":null,"allUpIdentification":null,"needRollup":"NoRollup","fillMissingPointType":"PreviousValue","fillMissingPointValue":0.0,"rollUpMethod":"None","rollUpColumns":[],"dataFeedDescription":"","stopRetryAfterInSeconds":-1,"minRetryIntervalInSeconds":-1,"maxConcurrency":-1,"viewMode":"Private","admins":["f850650c-1fcf-4489-b46f-71af2e30d360"],"viewers":[],"creator":"f850650c-1fcf-4489-b46f-71af2e30d360","status":"Active","createdTime":"2020-12-26T19:31:01Z","isAdmin":true,"actionLinkTemplate":"","dataSourceParameter":{"connectionString":"connectionstring","query":"let
+        StartDateTime = datetime(@StartTime); let EndDateTime = StartDateTime + 1d;
+        adsample | where Timestamp >= StartDateTime and Timestamp < EndDateTime"}}'
+    headers:
+      apim-request-id:
+      - 75c01f8b-a5c7-408a-b408-6ae0f190d33e
+      content-length:
+      - '1660'
+      content-type:
+      - application/json; charset=utf-8
+      date:
+      - Sat, 26 Dec 2020 19:31:02 GMT
+      strict-transport-security:
+      - max-age=31536000; includeSubDomains; preload
+      x-content-type-options:
+      - nosniff
+      x-envoy-upstream-service-time:
+      - '346'
+      x-request-id:
+      - 75c01f8b-a5c7-408a-b408-6ae0f190d33e
+    status:
+      code: 200
+      message: OK
+- request:
+    body: null
+    headers:
+      Accept:
+      - application/json
+      Accept-Encoding:
+      - gzip, deflate
+      Connection:
+      - keep-alive
+      Content-Length:
+      - '0'
+      User-Agent:
+      - azsdk-python-ai-metricsadvisor/1.0.0b3 Python/3.8.6 (Windows-10-10.0.19041-SP0)
+    method: DELETE
+    uri: https://js-metrics-advisor.cognitiveservices.azure.com/metricsadvisor/v1.0/dataFeeds/0321d702-27c1-48ac-b6cc-487b578d26c5
+  response:
+    body:
+      string: ''
+    headers:
+      apim-request-id:
+      - d6451c36-d1bf-49ce-b4c8-c9062310ce49
+      content-length:
+      - '0'
+      date:
+      - Sat, 26 Dec 2020 19:31:02 GMT
+      strict-transport-security:
+      - max-age=31536000; includeSubDomains; preload
+      x-content-type-options:
+      - nosniff
+      x-envoy-upstream-service-time:
+      - '506'
+      x-request-id:
+      - d6451c36-d1bf-49ce-b4c8-c9062310ce49
+    status:
+      code: 204
+      message: No Content
+version: 1
diff --git a/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_data_feeds_aad.test_create_data_feed_with_datalake.yaml b/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_data_feeds_aad.test_create_data_feed_with_datalake.yaml
new file mode 100644
index 000000000000..94b11731f5d0
--- /dev/null
+++ b/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_data_feeds_aad.test_create_data_feed_with_datalake.yaml
@@ -0,0 +1,122 @@
+interactions:
+- request:
+    body: '{"dataSourceType": "AzureDataLakeStorageGen2", "dataFeedName": "datalake688e1603",
+      "granularityName": "Daily", "metrics": [{"metricName": "cost", "metricDisplayName":
+      "Cost"}, {"metricName": "revenue", "metricDisplayName": "Revenue"}], "dimension":
+      [{"dimensionName": "category", "dimensionDisplayName": "Category"}, {"dimensionName":
+      "city", "dimensionDisplayName": "City"}], "dataStartFrom": "2019-01-01T00:00:00.000Z",
+      "startOffsetInSeconds": 0, "maxConcurrency": -1, "minRetryIntervalInSeconds":
+      -1, "stopRetryAfterInSeconds": -1, "dataSourceParameter": {"accountName": "adsampledatalakegen2",
+      "accountKey": "connectionstring", "fileSystemName": "adsample", "directoryTemplate":
+      "%Y/%m/%d", "fileTemplate": "adsample.json"}}'
+    headers:
+      Accept:
+      - application/json
+      Accept-Encoding:
+      - gzip, deflate
+      Connection:
+      - keep-alive
+      Content-Length:
+      - '800'
+      Content-Type:
+      - application/json
+      User-Agent:
+      - azsdk-python-ai-metricsadvisor/1.0.0b3 Python/3.8.6 (Windows-10-10.0.19041-SP0)
+    method: POST
+    uri: https://js-metrics-advisor.cognitiveservices.azure.com/metricsadvisor/v1.0/dataFeeds
+  response:
+    body:
+      string: ''
+    headers:
+      apim-request-id:
+      - 9b0570c1-639d-46f4-99d4-fb81f98d58e8
+      content-length:
+      - '0'
+      date:
+      - Sat, 26 Dec 2020 19:31:03 GMT
+      location:
+      - https://js-metrics-advisor.cognitiveservices.azure.com/metricsadvisor/v1.0/dataFeeds/98b62770-93e0-4eb0-8b55-5051cb4bed31
+      strict-transport-security:
+      - max-age=31536000; includeSubDomains; preload
+      x-content-type-options:
+      - nosniff
+      x-envoy-upstream-service-time:
+      - '689'
+      x-request-id:
+      - 9b0570c1-639d-46f4-99d4-fb81f98d58e8
+    status:
+      code: 201
+      message: Created
+- request:
+    body: null
+    headers:
+      Accept:
+      - application/json
+      Accept-Encoding:
+      - gzip, deflate
+      Connection:
+      - keep-alive
+      User-Agent:
+      - azsdk-python-ai-metricsadvisor/1.0.0b3 Python/3.8.6 (Windows-10-10.0.19041-SP0)
+    method: GET
+    uri: https://js-metrics-advisor.cognitiveservices.azure.com/metricsadvisor/v1.0/dataFeeds/98b62770-93e0-4eb0-8b55-5051cb4bed31
+  response:
+    body:
+      string: '{"dataFeedId":"98b62770-93e0-4eb0-8b55-5051cb4bed31","dataFeedName":"datalake688e1603","metrics":[{"metricId":"644323b3-0910-4f1d-a482-1b86b48af509","metricName":"cost","metricDisplayName":"Cost","metricDescription":""},{"metricId":"11a77091-dcd0-41e2-8fc8-44e680c8d5f0","metricName":"revenue","metricDisplayName":"Revenue","metricDescription":""}],"dimension":[{"dimensionName":"category","dimensionDisplayName":"Category"},{"dimensionName":"city","dimensionDisplayName":"City"}],"dataStartFrom":"2019-01-01T00:00:00Z","dataSourceType":"AzureDataLakeStorageGen2","timestampColumn":"","startOffsetInSeconds":0,"maxQueryPerMinute":30.0,"granularityName":"Daily","granularityAmount":null,"allUpIdentification":null,"needRollup":"NoRollup","fillMissingPointType":"PreviousValue","fillMissingPointValue":0.0,"rollUpMethod":"None","rollUpColumns":[],"dataFeedDescription":"","stopRetryAfterInSeconds":-1,"minRetryIntervalInSeconds":-1,"maxConcurrency":-1,"viewMode":"Private","admins":["f850650c-1fcf-4489-b46f-71af2e30d360"],"viewers":[],"creator":"f850650c-1fcf-4489-b46f-71af2e30d360","status":"Active","createdTime":"2020-12-26T19:31:04Z","isAdmin":true,"actionLinkTemplate":"","dataSourceParameter":{"fileTemplate":"adsample.json","accountName":"adsampledatalakegen2","directoryTemplate":"%Y/%m/%d","fileSystemName":"adsample","accountKey":"connectionstring"}}'
+    headers:
+      apim-request-id:
+      - 3469da6c-1639-452d-9846-4ac8592bff08
+      content-length:
+      - '1432'
+      content-type:
+      - application/json; charset=utf-8
+      date:
+      - Sat, 26 Dec 2020 19:31:04 GMT
+      strict-transport-security:
+      - max-age=31536000; includeSubDomains; preload
+      x-content-type-options:
+      - nosniff
+      x-envoy-upstream-service-time:
+      - '148'
+      x-request-id:
+      - 3469da6c-1639-452d-9846-4ac8592bff08
+    status:
+      code: 200
+      message: OK
+- request:
+    body: null
+    headers:
+      Accept:
+      - application/json
+      Accept-Encoding:
+      - gzip, deflate
+      Connection:
+      - keep-alive
+      Content-Length:
+      - '0'
+      User-Agent:
+      - azsdk-python-ai-metricsadvisor/1.0.0b3 Python/3.8.6 (Windows-10-10.0.19041-SP0)
+    method: DELETE
+    uri: https://js-metrics-advisor.cognitiveservices.azure.com/metricsadvisor/v1.0/dataFeeds/98b62770-93e0-4eb0-8b55-5051cb4bed31
+  response:
+    body:
+      string: ''
+    headers:
+      apim-request-id:
+      - 22268f57-8ed5-4d1a-bc85-eddb563bc2bf
+      content-length:
+      - '0'
+      date:
+      - Sat, 26 Dec 2020 19:31:04 GMT
+      strict-transport-security:
+      - max-age=31536000; includeSubDomains; preload
+      x-content-type-options:
+      - nosniff
+      x-envoy-upstream-service-time:
+      - '577'
+      x-request-id:
+      - 22268f57-8ed5-4d1a-bc85-eddb563bc2bf
+    status:
+      code: 204
+      message: No Content
+version: 1
diff --git a/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_data_feeds_aad.test_create_data_feed_with_elasticsearch.yaml b/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_data_feeds_aad.test_create_data_feed_with_elasticsearch.yaml
new file mode 100644
index 000000000000..c9df317d534b
--- /dev/null
+++ b/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_data_feeds_aad.test_create_data_feed_with_elasticsearch.yaml
@@ -0,0 +1,123 @@
+interactions:
+- request:
+    body: '{"dataSourceType": "Elasticsearch", "dataFeedName": "elasticddb61827",
+      "granularityName": "Daily", "metrics": [{"metricName": "cost", "metricDisplayName":
+      "Cost"}, {"metricName": "revenue", "metricDisplayName": "Revenue"}], "dimension":
+      [{"dimensionName": "category", "dimensionDisplayName": "Category"}, {"dimensionName":
+      "city", "dimensionDisplayName": "City"}], "dataStartFrom": "2019-01-01T00:00:00.000Z",
+      "startOffsetInSeconds": 0, "maxConcurrency": -1, "minRetryIntervalInSeconds":
+      -1, "stopRetryAfterInSeconds": -1, "dataSourceParameter": {"host": "ad-sample-es.westus2.cloudapp.azure.com",
+      "port": "9200", "authHeader": "connectionstring", "query": "''select * from
+      adsample where timestamp = @StartTime''"}}'
+    headers:
+      Accept:
+      - application/json
+      Accept-Encoding:
+      - gzip, deflate
+      Connection:
+      - keep-alive
+      Content-Length:
+      - '732'
+      Content-Type:
+      - application/json
+      User-Agent:
+      - azsdk-python-ai-metricsadvisor/1.0.0b3 Python/3.8.6 (Windows-10-10.0.19041-SP0)
+    method: POST
+    uri: https://js-metrics-advisor.cognitiveservices.azure.com/metricsadvisor/v1.0/dataFeeds
+  response:
+    body:
+      string: ''
+    headers:
+      apim-request-id:
+      - dd4a2019-95a7-4bf9-8463-80923f97ba53
+      content-length:
+      - '0'
+      date:
+      - Sat, 26 Dec 2020 19:31:06 GMT
+      location:
+      - https://js-metrics-advisor.cognitiveservices.azure.com/metricsadvisor/v1.0/dataFeeds/982d179d-a4c6-4429-b88b-cd88f082d145
+      strict-transport-security:
+      - max-age=31536000; includeSubDomains; preload
+      x-content-type-options:
+      - nosniff
+      x-envoy-upstream-service-time:
+      - '701'
+      x-request-id:
+      - dd4a2019-95a7-4bf9-8463-80923f97ba53
+    status:
+      code: 201
+      message: Created
+- request:
+    body: null
+    headers:
+      Accept:
+      - application/json
+      Accept-Encoding:
+      - gzip, deflate
+      Connection:
+      - keep-alive
+      User-Agent:
+      - azsdk-python-ai-metricsadvisor/1.0.0b3 Python/3.8.6 (Windows-10-10.0.19041-SP0)
+    method: GET
+    uri: https://js-metrics-advisor.cognitiveservices.azure.com/metricsadvisor/v1.0/dataFeeds/982d179d-a4c6-4429-b88b-cd88f082d145
+  response:
+    body:
+      string: '{"dataFeedId":"982d179d-a4c6-4429-b88b-cd88f082d145","dataFeedName":"elasticddb61827","metrics":[{"metricId":"1d3ce6e0-bd1c-4174-a965-f17e352c9afc","metricName":"cost","metricDisplayName":"Cost","metricDescription":""},{"metricId":"07d5e1e5-568d-46a5-97ce-afd40c217d3d","metricName":"revenue","metricDisplayName":"Revenue","metricDescription":""}],"dimension":[{"dimensionName":"category","dimensionDisplayName":"Category"},{"dimensionName":"city","dimensionDisplayName":"City"}],"dataStartFrom":"2019-01-01T00:00:00Z","dataSourceType":"Elasticsearch","timestampColumn":"","startOffsetInSeconds":0,"maxQueryPerMinute":30.0,"granularityName":"Daily","granularityAmount":null,"allUpIdentification":null,"needRollup":"NoRollup","fillMissingPointType":"PreviousValue","fillMissingPointValue":0.0,"rollUpMethod":"None","rollUpColumns":[],"dataFeedDescription":"","stopRetryAfterInSeconds":-1,"minRetryIntervalInSeconds":-1,"maxConcurrency":-1,"viewMode":"Private","admins":["f850650c-1fcf-4489-b46f-71af2e30d360"],"viewers":[],"creator":"f850650c-1fcf-4489-b46f-71af2e30d360","status":"Active","createdTime":"2020-12-26T19:31:06Z","isAdmin":true,"actionLinkTemplate":"","dataSourceParameter":{"authHeader":"connectionstring","port":"9200","query":"''select
+        * from adsample where timestamp = @StartTime''","host":"ad-sample-es.westus2.cloudapp.azure.com"}}'
+    headers:
+      apim-request-id:
+      - 163b3634-6e86-4c15-92bf-42f710b769b8
+      content-length:
+      - '1366'
+      content-type:
+      - application/json; charset=utf-8
+      date:
+      - Sat, 26 Dec 2020 19:31:06 GMT
+      strict-transport-security:
+      - max-age=31536000; includeSubDomains; preload
+      x-content-type-options:
+      - nosniff
+      x-envoy-upstream-service-time:
+      - '128'
+      x-request-id:
+      - 163b3634-6e86-4c15-92bf-42f710b769b8
+    status:
+      code: 200
+      message: OK
+- request:
+    body: null
+    headers:
+      Accept:
+      - application/json
+      Accept-Encoding:
+      - gzip, deflate
+      Connection:
+      - keep-alive
+      Content-Length:
+      - '0'
+      User-Agent:
+      - azsdk-python-ai-metricsadvisor/1.0.0b3 Python/3.8.6 (Windows-10-10.0.19041-SP0)
+    method: DELETE
+    uri: https://js-metrics-advisor.cognitiveservices.azure.com/metricsadvisor/v1.0/dataFeeds/982d179d-a4c6-4429-b88b-cd88f082d145
+  response:
+    body:
+      string: ''
+    headers:
+      apim-request-id:
+      - 6c06c2eb-c030-4ba5-9122-48b205cba231
+      content-length:
+      - '0'
+      date:
+      - Sat, 26 Dec 2020 19:31:07 GMT
+      strict-transport-security:
+      - max-age=31536000; includeSubDomains; preload
+      x-content-type-options:
+      - nosniff
+      x-envoy-upstream-service-time:
+      - '564'
+      x-request-id:
+      - 6c06c2eb-c030-4ba5-9122-48b205cba231
+    status:
+      code: 204
+      message: No Content
+version: 1
diff --git a/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_data_feeds_aad.test_create_data_feed_with_http_request_get.yaml b/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_data_feeds_aad.test_create_data_feed_with_http_request_get.yaml
new file mode 100644
index 000000000000..eac48cc30905
--- /dev/null
+++ b/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_data_feeds_aad.test_create_data_feed_with_http_request_get.yaml
@@ -0,0 +1,119 @@
+interactions:
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new file mode 100644
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new file mode 100644
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diff --git a/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_data_feeds_aad.test_create_data_feed_with_mysql.yaml b/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_data_feeds_aad.test_create_data_feed_with_mysql.yaml
new file mode 100644
index 000000000000..ac5af7849ab1
--- /dev/null
+++ b/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_data_feeds_aad.test_create_data_feed_with_mysql.yaml
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diff --git a/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_data_feeds_aad.test_create_data_feed_with_postgresql.yaml b/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_data_feeds_aad.test_create_data_feed_with_postgresql.yaml
new file mode 100644
index 000000000000..ce50ec2380f8
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+++ b/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_data_feeds_aad.test_create_data_feed_with_postgresql.yaml
@@ -0,0 +1,121 @@
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diff --git a/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_data_feeds_aad.test_create_simple_data_feed.yaml b/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_data_feeds_aad.test_create_simple_data_feed.yaml
new file mode 100644
index 000000000000..19864c48814f
--- /dev/null
+++ b/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_data_feeds_aad.test_create_simple_data_feed.yaml
@@ -0,0 +1,118 @@
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diff --git a/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_data_feeds_aad.test_list_data_feeds.yaml b/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_data_feeds_aad.test_list_data_feeds.yaml
new file mode 100644
index 000000000000..7dd7b4e69ae2
--- /dev/null
+++ b/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_data_feeds_aad.test_list_data_feeds.yaml
@@ -0,0 +1,68 @@
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+        first data feed\",\"stopRetryAfterInSeconds\":-1,\"minRetryIntervalInSeconds\":-1,\"maxConcurrency\":0,\"viewMode\":\"Private\",\"admins\":[\"yournamehere@microsoft.com\",\"f850650c-1fcf-4489-b46f-71af2e30d360\"],\"viewers\":[\"viewers\"],\"creator\":\"f850650c-1fcf-4489-b46f-71af2e30d360\",\"status\":\"Active\",\"createdTime\":\"2020-12-26T19:11:43Z\",\"isAdmin\":true,\"actionLinkTemplate\":\"action
+        link template\",\"dataSourceParameter\":{\"connectionString\":\"connectionstring\",\"query\":\"select\u202F*\u202Ffrom\u202Fadsample2\u202Fwhere\u202FTimestamp\u202F=\u202F@StartTime\"}},{\"dataFeedId\":\"bd1533c3-b9a4-44f1-9a49-59d3ea4f5f4d\",\"dataFeedName\":\"js-test-appInsightsFeed-160530608834108103\",\"metrics\":[{\"metricId\":\"c5ed1cbf-6f8b-4c63-83f9-8fdbeb3099c3\",\"metricName\":\"cost\",\"metricDisplayName\":\"cost\",\"metricDescription\":\"\"},{\"metricId\":\"cd69f758-a534-458e-96b9-2ed9c798476a\",\"metricName\":\"revenue\",\"metricDisplayName\":\"revenue\",\"metricDescription\":\"\"}],\"dimension\":[{\"dimensionName\":\"category\",\"dimensionDisplayName\":\"category\"},{\"dimensionName\":\"city\",\"dimensionDisplayName\":\"city\"}],\"dataStartFrom\":\"2020-08-21T00:00:00Z\",\"dataSourceType\":\"AzureApplicationInsights\",\"timestampColumn\":\"\",\"startOffsetInSeconds\":0,\"maxQueryPerMinute\":30.0,\"granularityName\":\"Daily\",\"granularityAmount\":null,\"allUpIdentification\":\"__CUSTOM_SUM__\",\"needRollup\":\"NeedRollup\",\"fillMissingPointType\":\"CustomValue\",\"fillMissingPointValue\":555.0,\"rollUpMethod\":\"Sum\",\"rollUpColumns\":[],\"dataFeedDescription\":\"Data
+        feed description\",\"stopRetryAfterInSeconds\":-1,\"minRetryIntervalInSeconds\":-1,\"maxConcurrency\":-1,\"viewMode\":\"Private\",\"admins\":[\"kaghiya@microsoft.com\"],\"viewers\":[],\"creator\":\"kaghiya@microsoft.com\",\"status\":\"Active\",\"createdTime\":\"2020-11-13T22:21:31Z\",\"isAdmin\":true,\"actionLinkTemplate\":\"\",\"dataSourceParameter\":{\"apiKey\":\"connectionstring\",\"query\":\"let
+        gran=60m; let starttime=datetime(@StartTime); let endtime=starttime + gran;
+        requests |?where?timestamp?>=?starttime?and?timestamp?<?endtime |?summarize?request_count?=?count(),?duration_avg_ms?=?avg(duration),?duration_95th_ms?=?percentile(duration,?95),?duration_max_ms?=?max(duration)?by?resultCode\",\"azureCloud\":\"Azure\",\"applicationId\":\"3706fe8b-98f1-47c7-bf69-b73b6e53274d\"}},{\"dataFeedId\":\"2169ef15-ae74-4fe6-bce1-1bb7c58217a4\",\"dataFeedName\":\"js-test-appInsightsFeed-160530606466100954\",\"metrics\":[{\"metricId\":\"be0316fc-9106-4d02-b1b7-2248614ce8ff\",\"metricName\":\"cost\",\"metricDisplayName\":\"cost\",\"metricDescription\":\"\"},{\"metricId\":\"465c2be4-3a00-4178-a6a9-41fcb4432cf4\",\"metricName\":\"revenue\",\"metricDisplayName\":\"revenue\",\"metricDescription\":\"\"}],\"dimension\":[{\"dimensionName\":\"category\",\"dimensionDisplayName\":\"category\"},{\"dimensionName\":\"city\",\"dimensionDisplayName\":\"city\"}],\"dataStartFrom\":\"2020-08-21T00:00:00Z\",\"dataSourceType\":\"AzureApplicationInsights\",\"timestampColumn\":\"\",\"startOffsetInSeconds\":0,\"maxQueryPerMinute\":30.0,\"granularityName\":\"Daily\",\"granularityAmount\":null,\"allUpIdentification\":\"__CUSTOM_SUM__\",\"needRollup\":\"NeedRollup\",\"fillMissingPointType\":\"CustomValue\",\"fillMissingPointValue\":555.0,\"rollUpMethod\":\"Sum\",\"rollUpColumns\":[],\"dataFeedDescription\":\"Data
+        feed description\",\"stopRetryAfterInSeconds\":-1,\"minRetryIntervalInSeconds\":-1,\"maxConcurrency\":-1,\"viewMode\":\"Private\",\"admins\":[\"kaghiya@microsoft.com\"],\"viewers\":[],\"creator\":\"kaghiya@microsoft.com\",\"status\":\"Active\",\"createdTime\":\"2020-11-13T22:21:10Z\",\"isAdmin\":true,\"actionLinkTemplate\":\"\",\"dataSourceParameter\":{\"apiKey\":\"connectionstring\",\"query\":\"let
+        gran=60m; let starttime=datetime(@StartTime); let endtime=starttime + gran;
+        requests |?where?timestamp?>=?starttime?and?timestamp?<?endtime |?summarize?request_count?=?count(),?duration_avg_ms?=?avg(duration),?duration_95th_ms?=?percentile(duration,?95),?duration_max_ms?=?max(duration)?by?resultCode\",\"azureCloud\":\"Azure\",\"applicationId\":\"3706fe8b-98f1-47c7-bf69-b73b6e53274d\"}},{\"dataFeedId\":\"9d85a33d-7de0-411d-aa0f-f1940b7973b6\",\"dataFeedName\":\"test_datafeed_1605050124034\",\"metrics\":[{\"metricId\":\"49205ee4-255c-4c4e-8d8d-d94b87896ff9\",\"metricName\":\"cost\",\"metricDisplayName\":\"cost\",\"metricDescription\":\"Metric2
+        description\"},{\"metricId\":\"590d7610-ae2a-41ab-8504-c509e724afc5\",\"metricName\":\"revenue\",\"metricDisplayName\":\"revenue\",\"metricDescription\":\"Metric1
+        description\"}],\"dimension\":[{\"dimensionName\":\"category\",\"dimensionDisplayName\":\"category
+        display\"},{\"dimensionName\":\"city\",\"dimensionDisplayName\":\"city display\"}],\"dataStartFrom\":\"2020-06-01T00:00:00Z\",\"dataSourceType\":\"SqlServer\",\"timestampColumn\":\"\",\"startOffsetInSeconds\":0,\"maxQueryPerMinute\":30.0,\"granularityName\":\"Daily\",\"granularityAmount\":null,\"allUpIdentification\":\"__CUSTOM_SUM__\",\"needRollup\":\"NeedRollup\",\"fillMissingPointType\":\"SmartFilling\",\"fillMissingPointValue\":0.0,\"rollUpMethod\":\"Sum\",\"rollUpColumns\":[],\"dataFeedDescription\":\"\",\"stopRetryAfterInSeconds\":-1,\"minRetryIntervalInSeconds\":-1,\"maxConcurrency\":-1,\"viewMode\":\"Private\",\"admins\":[\"kaghiya@microsoft.com\",\"xyz@example.com\"],\"viewers\":[],\"creator\":\"kaghiya@microsoft.com\",\"status\":\"Active\",\"createdTime\":\"2020-11-10T23:15:25Z\",\"isAdmin\":true,\"actionLinkTemplate\":\"\",\"dataSourceParameter\":{\"connectionString\":\"connectionstring;\",\"query\":\"select
+        * from adsample2 where Timestamp = @StartTime\"}},{\"dataFeedId\":\"7b9edf98-78b6-4ddd-b44a-2bac83cae6b3\",\"dataFeedName\":\"js-test-appInsightsFeed-160497041382000529\",\"metrics\":[{\"metricId\":\"988eb02a-f67b-4200-b96e-48250890a621\",\"metricName\":\"Metric1\",\"metricDisplayName\":\"Metric1\",\"metricDescription\":\"\"},{\"metricId\":\"b51dbae1-009c-4fae-a24b-32cae2822706\",\"metricName\":\"Metric2\",\"metricDisplayName\":\"Metric2\",\"metricDescription\":\"\"}],\"dimension\":[{\"dimensionName\":\"Dim1\",\"dimensionDisplayName\":\"Dim1
+        display\"},{\"dimensionName\":\"Dim2\",\"dimensionDisplayName\":\"Dim2 display\"}],\"dataStartFrom\":\"2020-08-21T00:00:00Z\",\"dataSourceType\":\"AzureApplicationInsights\",\"timestampColumn\":\"\",\"startOffsetInSeconds\":0,\"maxQueryPerMinute\":30.0,\"granularityName\":\"Daily\",\"granularityAmount\":null,\"allUpIdentification\":\"__CUSTOM_SUM__\",\"needRollup\":\"NeedRollup\",\"fillMissingPointType\":\"CustomValue\",\"fillMissingPointValue\":555.0,\"rollUpMethod\":\"Sum\",\"rollUpColumns\":[],\"dataFeedDescription\":\"Data
+        feed description\",\"stopRetryAfterInSeconds\":-1,\"minRetryIntervalInSeconds\":-1,\"maxConcurrency\":-1,\"viewMode\":\"Private\",\"admins\":[\"kaghiya@microsoft.com\"],\"viewers\":[],\"creator\":\"kaghiya@microsoft.com\",\"status\":\"Active\",\"createdTime\":\"2020-11-10T01:07:45Z\",\"isAdmin\":true,\"actionLinkTemplate\":\"\",\"dataSourceParameter\":{\"apiKey\":\"connectionstring\",\"query\":\"let
+        gran=60m; let starttime=datetime(@StartTime); let endtime=starttime + gran;
+        requests |?where?timestamp?>=?starttime?and?timestamp?<?endtime |?summarize?request_count?=?count(),?duration_avg_ms?=?avg(duration),?duration_95th_ms?=?percentile(duration,?95),?duration_max_ms?=?max(duration)?by?resultCode\",\"azureCloud\":\"Azure\",\"applicationId\":\"3706fe8b-98f1-47c7-bf69-b73b6e53274d\"}},{\"dataFeedId\":\"94a55268-a300-4909-b25a-fadb446a0308\",\"dataFeedName\":\"js-test-appInsightsFeed-160496970249406144\",\"metrics\":[{\"metricId\":\"2c7aa84e-8caa-4715-bebc-fcfd80f68015\",\"metricName\":\"Metric1\",\"metricDisplayName\":\"Metric1\",\"metricDescription\":\"\"},{\"metricId\":\"b820536b-e92c-4a03-aeab-854710cb5277\",\"metricName\":\"Metric2\",\"metricDisplayName\":\"Metric2\",\"metricDescription\":\"\"}],\"dimension\":[{\"dimensionName\":\"Dim1\",\"dimensionDisplayName\":\"Dim1
+        display\"},{\"dimensionName\":\"Dim2\",\"dimensionDisplayName\":\"Dim2 display\"}],\"dataStartFrom\":\"2020-08-21T00:00:00Z\",\"dataSourceType\":\"AzureApplicationInsights\",\"timestampColumn\":\"\",\"startOffsetInSeconds\":0,\"maxQueryPerMinute\":30.0,\"granularityName\":\"Daily\",\"granularityAmount\":null,\"allUpIdentification\":\"__CUSTOM_SUM__\",\"needRollup\":\"NeedRollup\",\"fillMissingPointType\":\"CustomValue\",\"fillMissingPointValue\":555.0,\"rollUpMethod\":\"Sum\",\"rollUpColumns\":[],\"dataFeedDescription\":\"Data
+        feed description\",\"stopRetryAfterInSeconds\":-1,\"minRetryIntervalInSeconds\":-1,\"maxConcurrency\":-1,\"viewMode\":\"Private\",\"admins\":[\"kaghiya@microsoft.com\"],\"viewers\":[],\"creator\":\"kaghiya@microsoft.com\",\"status\":\"Active\",\"createdTime\":\"2020-11-10T00:57:07Z\",\"isAdmin\":true,\"actionLinkTemplate\":\"\",\"dataSourceParameter\":{\"apiKey\":\"connectionstring\",\"query\":\"let
+        gran=60m; let starttime=datetime(@StartTime); let endtime=starttime + gran;
+        requests |?where?timestamp?>=?starttime?and?timestamp?<?endtime |?summarize?request_count?=?count(),?duration_avg_ms?=?avg(duration),?duration_95th_ms?=?percentile(duration,?95),?duration_max_ms?=?max(duration)?by?resultCode\",\"azureCloud\":\"Azure\",\"applicationId\":\"3706fe8b-98f1-47c7-bf69-b73b6e53274d\"}},{\"dataFeedId\":\"b1e83213-bf36-4104-9116-ad62f445c3f6\",\"dataFeedName\":\"js-test-appInsightsFeed-160496963066701727\",\"metrics\":[{\"metricId\":\"4047a2c2-c936-4b25-9339-e485dd35565d\",\"metricName\":\"Metric1\",\"metricDisplayName\":\"Metric1\",\"metricDescription\":\"\"},{\"metricId\":\"f41f51c8-2e1e-4945-ad73-7d9f7b666341\",\"metricName\":\"Metric2\",\"metricDisplayName\":\"Metric2\",\"metricDescription\":\"\"}],\"dimension\":[{\"dimensionName\":\"Dim1\",\"dimensionDisplayName\":\"Dim1
+        display\"},{\"dimensionName\":\"Dim2\",\"dimensionDisplayName\":\"Dim2 display\"}],\"dataStartFrom\":\"2020-08-21T00:00:00Z\",\"dataSourceType\":\"AzureApplicationInsights\",\"timestampColumn\":\"\",\"startOffsetInSeconds\":0,\"maxQueryPerMinute\":30.0,\"granularityName\":\"Daily\",\"granularityAmount\":null,\"allUpIdentification\":\"__CUSTOM_SUM__\",\"needRollup\":\"NeedRollup\",\"fillMissingPointType\":\"CustomValue\",\"fillMissingPointValue\":555.0,\"rollUpMethod\":\"Sum\",\"rollUpColumns\":[],\"dataFeedDescription\":\"Data
+        feed description\",\"stopRetryAfterInSeconds\":-1,\"minRetryIntervalInSeconds\":-1,\"maxConcurrency\":-1,\"viewMode\":\"Private\",\"admins\":[\"kaghiya@microsoft.com\"],\"viewers\":[],\"creator\":\"kaghiya@microsoft.com\",\"status\":\"Active\",\"createdTime\":\"2020-11-10T00:53:52Z\",\"isAdmin\":true,\"actionLinkTemplate\":\"\",\"dataSourceParameter\":{\"apiKey\":\"connectionstring\",\"query\":\"let
+        gran=60m; let starttime=datetime(@StartTime); let endtime=starttime + gran;
+        requests |?where?timestamp?>=?starttime?and?timestamp?<?endtime |?summarize?request_count?=?count(),?duration_avg_ms?=?avg(duration),?duration_95th_ms?=?percentile(duration,?95),?duration_max_ms?=?max(duration)?by?resultCode\",\"azureCloud\":\"Azure\",\"applicationId\":\"3706fe8b-98f1-47c7-bf69-b73b6e53274d\"}},{\"dataFeedId\":\"d9bb5d8a-4ade-4b41-a912-a3f82ee93c14\",\"dataFeedName\":\"SqlServerDatafeed\",\"metrics\":[{\"metricId\":\"81582df6-0272-40bf-994d-eb497b74d13b\",\"metricName\":\"cost\",\"metricDisplayName\":\"cost\",\"metricDescription\":\"\"},{\"metricId\":\"507eaf33-3a65-4664-a7d6-5cdcc2dda6ff\",\"metricName\":\"revenue\",\"metricDisplayName\":\"revenue\",\"metricDescription\":\"\"}],\"dimension\":[{\"dimensionName\":\"category\",\"dimensionDisplayName\":\"category\"},{\"dimensionName\":\"city\",\"dimensionDisplayName\":\"city\"}],\"dataStartFrom\":\"2020-08-11T00:00:00Z\",\"dataSourceType\":\"SqlServer\",\"timestampColumn\":\"timestamp\",\"startOffsetInSeconds\":0,\"maxQueryPerMinute\":30.0,\"granularityName\":\"Daily\",\"granularityAmount\":null,\"allUpIdentification\":\"__SUM__\",\"needRollup\":\"NeedRollup\",\"fillMissingPointType\":\"SmartFilling\",\"fillMissingPointValue\":0.0,\"rollUpMethod\":\"Sum\",\"rollUpColumns\":[],\"dataFeedDescription\":\"\",\"stopRetryAfterInSeconds\":-1,\"minRetryIntervalInSeconds\":-1,\"maxConcurrency\":-1,\"viewMode\":\"Private\",\"admins\":[\"johanste@microsoft.com\",\"yumeng@microsoft.com\",\"xiangyan@microsoft.com\",\"savaity@microsoft.com\",\"anuchan@microsoft.com\",\"chriss@microsoft.com\",\"kaolsze@microsoft.com\",\"camaiaor@microsoft.com\",\"krpratic@microsoft.com\",\"elraikhm@microsoft.com\",\"kaghiya@microsoft.com\",\"mayurid@microsoft.com\"],\"viewers\":[],\"creator\":\"savaity@microsoft.com\",\"status\":\"Active\",\"createdTime\":\"2020-10-16T17:35:24Z\",\"isAdmin\":true,\"actionLinkTemplate\":\"\",\"dataSourceParameter\":{\"connectionString\":\"connectionstring;\",\"query\":\"select
+        * from adsample2 where Timestamp = @StartTime\"}},{\"dataFeedId\":\"b23b7c41-4c49-4ad6-a0b8-cbb91f11cd33\",\"dataFeedName\":\"BlobDataFeed\",\"metrics\":[{\"metricId\":\"27b31c03-7057-4322-bb44-4ab780251528\",\"metricName\":\"Metric1\",\"metricDisplayName\":\"Metric1\",\"metricDescription\":\"\"},{\"metricId\":\"1c957231-7597-4023-8dbb-7de182929e21\",\"metricName\":\"Metric2\",\"metricDisplayName\":\"Metric2\",\"metricDescription\":\"\"}],\"dimension\":[{\"dimensionName\":\"Dim1\",\"dimensionDisplayName\":\"Dim1\"},{\"dimensionName\":\"Dim2\",\"dimensionDisplayName\":\"Dim2\"}],\"dataStartFrom\":\"2020-08-09T00:00:00Z\",\"dataSourceType\":\"AzureBlob\",\"timestampColumn\":\"Timestamp\",\"startOffsetInSeconds\":0,\"maxQueryPerMinute\":30.0,\"granularityName\":\"Daily\",\"granularityAmount\":null,\"allUpIdentification\":null,\"needRollup\":\"NoRollup\",\"fillMissingPointType\":\"SmartFilling\",\"fillMissingPointValue\":0.0,\"rollUpMethod\":\"None\",\"rollUpColumns\":[],\"dataFeedDescription\":\"\",\"stopRetryAfterInSeconds\":-1,\"minRetryIntervalInSeconds\":-1,\"maxConcurrency\":-1,\"viewMode\":\"Private\",\"admins\":[\"kaghiya@microsoft.com\",\"savaity@microsoft.com\",\"krpratic@microsoft.com\",\"stevencl@microsoft.com\",\"mayurid@microsoft.com\",\"johanste@microsoft.com\",\"anuchan@microsoft.com\",\"xiangyan@microsoft.com\",\"chriss@microsoft.com\",\"camaiaor@microsoft.com\",\"kaolsze@microsoft.com\",\"yumeng@microsoft.com\",\"elraikhm@microsoft.com\"],\"viewers\":[],\"creator\":\"savaity@microsoft.com\",\"status\":\"Active\",\"createdTime\":\"2020-10-16T17:34:40Z\",\"isAdmin\":true,\"actionLinkTemplate\":\"\",\"dataSourceParameter\":{\"container\":\"adsample\",\"connectionString\":\"connectionstring\",\"blobTemplate\":\"%Y/%m/%d/%h/JsonFormatV2.json\",\"jsonFormatVersion\":\"V2\"}},{\"dataFeedId\":\"data_feed_id\",\"dataFeedName\":\"azsqlDatafeed\",\"metrics\":[{\"metricId\":\"metric_id\",\"metricName\":\"cost\",\"metricDisplayName\":\"cost\",\"metricDescription\":\"\"},{\"metricId\":\"a98a72e6-18ab-4dab-bac4-3db605691bca\",\"metricName\":\"revenue\",\"metricDisplayName\":\"revenue\",\"metricDescription\":\"\"}],\"dimension\":[{\"dimensionName\":\"category\",\"dimensionDisplayName\":\"category\"},{\"dimensionName\":\"city\",\"dimensionDisplayName\":\"city\"}],\"dataStartFrom\":\"2020-08-30T00:00:00Z\",\"dataSourceType\":\"SqlServer\",\"timestampColumn\":\"timestamp\",\"startOffsetInSeconds\":0,\"maxQueryPerMinute\":30.0,\"granularityName\":\"Daily\",\"granularityAmount\":null,\"allUpIdentification\":\"__SUM__\",\"needRollup\":\"NeedRollup\",\"fillMissingPointType\":\"SmartFilling\",\"fillMissingPointValue\":0.0,\"rollUpMethod\":\"Sum\",\"rollUpColumns\":[],\"dataFeedDescription\":\"\",\"stopRetryAfterInSeconds\":-1,\"minRetryIntervalInSeconds\":-1,\"maxConcurrency\":-1,\"viewMode\":\"Private\",\"admins\":[\"elraikhm@microsoft.com\",\"savaity@microsoft.com\",\"xiangyan@microsoft.com\",\"kaghiya@microsoft.com\",\"camaiaor@microsoft.com\",\"chriss@microsoft.com\",\"yumeng@microsoft.com\",\"krpratic@microsoft.com\",\"anuchan@microsoft.com\"],\"viewers\":[],\"creator\":\"kaghiya@microsoft.com\",\"status\":\"Active\",\"createdTime\":\"2020-10-05T18:56:43Z\",\"isAdmin\":true,\"actionLinkTemplate\":\"\",\"dataSourceParameter\":{\"connectionString\":\"connectionstring;\",\"query\":\"select
+        * from adsample2 where Timestamp = @StartTime\"}},{\"dataFeedId\":\"a4030af9-4419-4d3a-a2cc-49022cf54914\",\"dataFeedName\":\"testDataFeed1\",\"metrics\":[{\"metricId\":\"efa9adb3-7342-494b-a6f1-427021e75ad6\",\"metricName\":\"Metric1\",\"metricDisplayName\":\"Metric1\",\"metricDescription\":\"\"},{\"metricId\":\"a1948021-0002-4c37-be71-eaaa29f1e2e7\",\"metricName\":\"Metric2\",\"metricDisplayName\":\"Metric2\",\"metricDescription\":\"\"}],\"dimension\":[{\"dimensionName\":\"Dim1\",\"dimensionDisplayName\":\"Dim1\"},{\"dimensionName\":\"Dim2\",\"dimensionDisplayName\":\"Dim2\"}],\"dataStartFrom\":\"2020-01-01T00:00:00Z\",\"dataSourceType\":\"AzureBlob\",\"timestampColumn\":\"Timestamp\",\"startOffsetInSeconds\":0,\"maxQueryPerMinute\":30.0,\"granularityName\":\"Daily\",\"granularityAmount\":null,\"allUpIdentification\":\"__SUM__\",\"needRollup\":\"NeedRollup\",\"fillMissingPointType\":\"SmartFilling\",\"fillMissingPointValue\":0.0,\"rollUpMethod\":\"Sum\",\"rollUpColumns\":[],\"dataFeedDescription\":\"\",\"stopRetryAfterInSeconds\":-1,\"minRetryIntervalInSeconds\":-1,\"maxConcurrency\":-1,\"viewMode\":\"Private\",\"admins\":[\"camaiaor@microsoft.com\",\"chriss@microsoft.com\",\"anuchan@microsoft.com\",\"kaghiya@microsoft.com\",\"xiangyan@microsoft.com\",\"krpratic@microsoft.com\",\"yumeng@microsoft.com\",\"savaity@microsoft.com\"],\"viewers\":[],\"creator\":\"kaghiya@microsoft.com\",\"status\":\"Active\",\"createdTime\":\"2020-10-02T19:20:53Z\",\"isAdmin\":true,\"actionLinkTemplate\":\"\",\"dataSourceParameter\":{\"container\":\"adsample\",\"connectionString\":\"connectionstring\",\"blobTemplate\":\"%Y/%m/%d/%h/JsonFormatV2.json\",\"jsonFormatVersion\":\"v2\"}}],\"@nextLink\":null}"
+    headers:
+      apim-request-id:
+      - e598b875-65f7-4e61-b39b-208331a0dd19
+      content-length:
+      - '18905'
+      content-type:
+      - application/json; charset=utf-8
+      date:
+      - Sat, 26 Dec 2020 19:31:32 GMT
+      strict-transport-security:
+      - max-age=31536000; includeSubDomains; preload
+      x-content-type-options:
+      - nosniff
+      x-envoy-upstream-service-time:
+      - '75'
+      x-request-id:
+      - e598b875-65f7-4e61-b39b-208331a0dd19
+    status:
+      code: 200
+      message: OK
+version: 1
diff --git a/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_data_feeds_aad.test_list_data_feeds_with_data_feed_name.yaml b/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_data_feeds_aad.test_list_data_feeds_with_data_feed_name.yaml
new file mode 100644
index 000000000000..e1744f3fb791
--- /dev/null
+++ b/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_data_feeds_aad.test_list_data_feeds_with_data_feed_name.yaml
@@ -0,0 +1,39 @@
+interactions:
+- request:
+    body: null
+    headers:
+      Accept:
+      - application/json
+      Accept-Encoding:
+      - gzip, deflate
+      Connection:
+      - keep-alive
+      User-Agent:
+      - azsdk-python-ai-metricsadvisor/1.0.0b3 Python/3.8.6 (Windows-10-10.0.19041-SP0)
+    method: GET
+    uri: https://js-metrics-advisor.cognitiveservices.azure.com/metricsadvisor/v1.0/dataFeeds?dataFeedName=azsqlDatafeed
+  response:
+    body:
+      string: '{"value":[{"dataFeedId":"data_feed_id","dataFeedName":"azsqlDatafeed","metrics":[{"metricId":"metric_id","metricName":"cost","metricDisplayName":"cost","metricDescription":""},{"metricId":"a98a72e6-18ab-4dab-bac4-3db605691bca","metricName":"revenue","metricDisplayName":"revenue","metricDescription":""}],"dimension":[{"dimensionName":"category","dimensionDisplayName":"category"},{"dimensionName":"city","dimensionDisplayName":"city"}],"dataStartFrom":"2020-08-30T00:00:00Z","dataSourceType":"SqlServer","timestampColumn":"timestamp","startOffsetInSeconds":0,"maxQueryPerMinute":30.0,"granularityName":"Daily","granularityAmount":null,"allUpIdentification":"__SUM__","needRollup":"NeedRollup","fillMissingPointType":"SmartFilling","fillMissingPointValue":0.0,"rollUpMethod":"Sum","rollUpColumns":[],"dataFeedDescription":"","stopRetryAfterInSeconds":-1,"minRetryIntervalInSeconds":-1,"maxConcurrency":-1,"viewMode":"Private","admins":["elraikhm@microsoft.com","savaity@microsoft.com","xiangyan@microsoft.com","kaghiya@microsoft.com","camaiaor@microsoft.com","anuchan@microsoft.com","chriss@microsoft.com","yumeng@microsoft.com","krpratic@microsoft.com"],"viewers":[],"creator":"kaghiya@microsoft.com","status":"Active","createdTime":"2020-10-05T18:56:43Z","isAdmin":true,"actionLinkTemplate":"","dataSourceParameter":{"connectionString":"connectionstring;","query":"select
+        * from adsample2 where Timestamp = @StartTime"}}],"@nextLink":null}'
+    headers:
+      apim-request-id:
+      - a7128c3e-67dd-4397-848c-cd2376e72d6a
+      content-length:
+      - '1708'
+      content-type:
+      - application/json; charset=utf-8
+      date:
+      - Sat, 26 Dec 2020 19:31:33 GMT
+      strict-transport-security:
+      - max-age=31536000; includeSubDomains; preload
+      x-content-type-options:
+      - nosniff
+      x-envoy-upstream-service-time:
+      - '106'
+      x-request-id:
+      - a7128c3e-67dd-4397-848c-cd2376e72d6a
+    status:
+      code: 200
+      message: OK
+version: 1
diff --git a/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_data_feeds_aad.test_list_data_feeds_with_granularity_type.yaml b/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_data_feeds_aad.test_list_data_feeds_with_granularity_type.yaml
new file mode 100644
index 000000000000..4515c3b8964d
--- /dev/null
+++ b/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_data_feeds_aad.test_list_data_feeds_with_granularity_type.yaml
@@ -0,0 +1,68 @@
+interactions:
+- request:
+    body: null
+    headers:
+      Accept:
+      - application/json
+      Accept-Encoding:
+      - gzip, deflate
+      Connection:
+      - keep-alive
+      User-Agent:
+      - azsdk-python-ai-metricsadvisor/1.0.0b3 Python/3.8.6 (Windows-10-10.0.19041-SP0)
+    method: GET
+    uri: https://js-metrics-advisor.cognitiveservices.azure.com/metricsadvisor/v1.0/dataFeeds?granularityName=Daily
+  response:
+    body:
+      string: "{\"value\":[{\"dataFeedId\":\"0878ef33-d3c0-4868-a556-c0287d971180\",\"dataFeedName\":\"updatehlgw2i4smv3ngmdqej\",\"metrics\":[{\"metricId\":\"97adb289-7ce7-41a8-a476-bc6131de2e00\",\"metricName\":\"cost\",\"metricDisplayName\":\"display
+        cost\",\"metricDescription\":\"the cost\"},{\"metricId\":\"eecc41f9-518e-4186-bb6b-b18ee53c7ecf\",\"metricName\":\"revenue\",\"metricDisplayName\":\"display
+        revenue\",\"metricDescription\":\"the revenue\"}],\"dimension\":[{\"dimensionName\":\"category\",\"dimensionDisplayName\":\"display
+        category\"},{\"dimensionName\":\"city\",\"dimensionDisplayName\":\"display
+        city\"}],\"dataStartFrom\":\"2019-10-01T00:00:00Z\",\"dataSourceType\":\"SqlServer\",\"timestampColumn\":\"Timestamp\",\"startOffsetInSeconds\":-1,\"maxQueryPerMinute\":30.0,\"granularityName\":\"Daily\",\"granularityAmount\":null,\"allUpIdentification\":null,\"needRollup\":\"NoRollup\",\"fillMissingPointType\":\"SmartFilling\",\"fillMissingPointValue\":0.0,\"rollUpMethod\":\"None\",\"rollUpColumns\":[],\"dataFeedDescription\":\"my
+        first data feed\",\"stopRetryAfterInSeconds\":-1,\"minRetryIntervalInSeconds\":-1,\"maxConcurrency\":0,\"viewMode\":\"Private\",\"admins\":[\"yournamehere@microsoft.com\",\"f850650c-1fcf-4489-b46f-71af2e30d360\"],\"viewers\":[\"viewers\"],\"creator\":\"f850650c-1fcf-4489-b46f-71af2e30d360\",\"status\":\"Active\",\"createdTime\":\"2020-12-26T19:11:43Z\",\"isAdmin\":true,\"actionLinkTemplate\":\"action
+        link template\",\"dataSourceParameter\":{\"connectionString\":\"connectionstring\",\"query\":\"select\u202F*\u202Ffrom\u202Fadsample2\u202Fwhere\u202FTimestamp\u202F=\u202F@StartTime\"}},{\"dataFeedId\":\"bd1533c3-b9a4-44f1-9a49-59d3ea4f5f4d\",\"dataFeedName\":\"js-test-appInsightsFeed-160530608834108103\",\"metrics\":[{\"metricId\":\"c5ed1cbf-6f8b-4c63-83f9-8fdbeb3099c3\",\"metricName\":\"cost\",\"metricDisplayName\":\"cost\",\"metricDescription\":\"\"},{\"metricId\":\"cd69f758-a534-458e-96b9-2ed9c798476a\",\"metricName\":\"revenue\",\"metricDisplayName\":\"revenue\",\"metricDescription\":\"\"}],\"dimension\":[{\"dimensionName\":\"category\",\"dimensionDisplayName\":\"category\"},{\"dimensionName\":\"city\",\"dimensionDisplayName\":\"city\"}],\"dataStartFrom\":\"2020-08-21T00:00:00Z\",\"dataSourceType\":\"AzureApplicationInsights\",\"timestampColumn\":\"\",\"startOffsetInSeconds\":0,\"maxQueryPerMinute\":30.0,\"granularityName\":\"Daily\",\"granularityAmount\":null,\"allUpIdentification\":\"__CUSTOM_SUM__\",\"needRollup\":\"NeedRollup\",\"fillMissingPointType\":\"CustomValue\",\"fillMissingPointValue\":555.0,\"rollUpMethod\":\"Sum\",\"rollUpColumns\":[],\"dataFeedDescription\":\"Data
+        feed description\",\"stopRetryAfterInSeconds\":-1,\"minRetryIntervalInSeconds\":-1,\"maxConcurrency\":-1,\"viewMode\":\"Private\",\"admins\":[\"kaghiya@microsoft.com\"],\"viewers\":[],\"creator\":\"kaghiya@microsoft.com\",\"status\":\"Active\",\"createdTime\":\"2020-11-13T22:21:31Z\",\"isAdmin\":true,\"actionLinkTemplate\":\"\",\"dataSourceParameter\":{\"apiKey\":\"connectionstring\",\"query\":\"let
+        gran=60m; let starttime=datetime(@StartTime); let endtime=starttime + gran;
+        requests |?where?timestamp?>=?starttime?and?timestamp?<?endtime |?summarize?request_count?=?count(),?duration_avg_ms?=?avg(duration),?duration_95th_ms?=?percentile(duration,?95),?duration_max_ms?=?max(duration)?by?resultCode\",\"azureCloud\":\"Azure\",\"applicationId\":\"3706fe8b-98f1-47c7-bf69-b73b6e53274d\"}},{\"dataFeedId\":\"2169ef15-ae74-4fe6-bce1-1bb7c58217a4\",\"dataFeedName\":\"js-test-appInsightsFeed-160530606466100954\",\"metrics\":[{\"metricId\":\"be0316fc-9106-4d02-b1b7-2248614ce8ff\",\"metricName\":\"cost\",\"metricDisplayName\":\"cost\",\"metricDescription\":\"\"},{\"metricId\":\"465c2be4-3a00-4178-a6a9-41fcb4432cf4\",\"metricName\":\"revenue\",\"metricDisplayName\":\"revenue\",\"metricDescription\":\"\"}],\"dimension\":[{\"dimensionName\":\"category\",\"dimensionDisplayName\":\"category\"},{\"dimensionName\":\"city\",\"dimensionDisplayName\":\"city\"}],\"dataStartFrom\":\"2020-08-21T00:00:00Z\",\"dataSourceType\":\"AzureApplicationInsights\",\"timestampColumn\":\"\",\"startOffsetInSeconds\":0,\"maxQueryPerMinute\":30.0,\"granularityName\":\"Daily\",\"granularityAmount\":null,\"allUpIdentification\":\"__CUSTOM_SUM__\",\"needRollup\":\"NeedRollup\",\"fillMissingPointType\":\"CustomValue\",\"fillMissingPointValue\":555.0,\"rollUpMethod\":\"Sum\",\"rollUpColumns\":[],\"dataFeedDescription\":\"Data
+        feed description\",\"stopRetryAfterInSeconds\":-1,\"minRetryIntervalInSeconds\":-1,\"maxConcurrency\":-1,\"viewMode\":\"Private\",\"admins\":[\"kaghiya@microsoft.com\"],\"viewers\":[],\"creator\":\"kaghiya@microsoft.com\",\"status\":\"Active\",\"createdTime\":\"2020-11-13T22:21:10Z\",\"isAdmin\":true,\"actionLinkTemplate\":\"\",\"dataSourceParameter\":{\"apiKey\":\"connectionstring\",\"query\":\"let
+        gran=60m; let starttime=datetime(@StartTime); let endtime=starttime + gran;
+        requests |?where?timestamp?>=?starttime?and?timestamp?<?endtime |?summarize?request_count?=?count(),?duration_avg_ms?=?avg(duration),?duration_95th_ms?=?percentile(duration,?95),?duration_max_ms?=?max(duration)?by?resultCode\",\"azureCloud\":\"Azure\",\"applicationId\":\"3706fe8b-98f1-47c7-bf69-b73b6e53274d\"}},{\"dataFeedId\":\"9d85a33d-7de0-411d-aa0f-f1940b7973b6\",\"dataFeedName\":\"test_datafeed_1605050124034\",\"metrics\":[{\"metricId\":\"49205ee4-255c-4c4e-8d8d-d94b87896ff9\",\"metricName\":\"cost\",\"metricDisplayName\":\"cost\",\"metricDescription\":\"Metric2
+        description\"},{\"metricId\":\"590d7610-ae2a-41ab-8504-c509e724afc5\",\"metricName\":\"revenue\",\"metricDisplayName\":\"revenue\",\"metricDescription\":\"Metric1
+        description\"}],\"dimension\":[{\"dimensionName\":\"category\",\"dimensionDisplayName\":\"category
+        display\"},{\"dimensionName\":\"city\",\"dimensionDisplayName\":\"city display\"}],\"dataStartFrom\":\"2020-06-01T00:00:00Z\",\"dataSourceType\":\"SqlServer\",\"timestampColumn\":\"\",\"startOffsetInSeconds\":0,\"maxQueryPerMinute\":30.0,\"granularityName\":\"Daily\",\"granularityAmount\":null,\"allUpIdentification\":\"__CUSTOM_SUM__\",\"needRollup\":\"NeedRollup\",\"fillMissingPointType\":\"SmartFilling\",\"fillMissingPointValue\":0.0,\"rollUpMethod\":\"Sum\",\"rollUpColumns\":[],\"dataFeedDescription\":\"\",\"stopRetryAfterInSeconds\":-1,\"minRetryIntervalInSeconds\":-1,\"maxConcurrency\":-1,\"viewMode\":\"Private\",\"admins\":[\"kaghiya@microsoft.com\",\"xyz@example.com\"],\"viewers\":[],\"creator\":\"kaghiya@microsoft.com\",\"status\":\"Active\",\"createdTime\":\"2020-11-10T23:15:25Z\",\"isAdmin\":true,\"actionLinkTemplate\":\"\",\"dataSourceParameter\":{\"connectionString\":\"connectionstring;\",\"query\":\"select
+        * from adsample2 where Timestamp = @StartTime\"}},{\"dataFeedId\":\"7b9edf98-78b6-4ddd-b44a-2bac83cae6b3\",\"dataFeedName\":\"js-test-appInsightsFeed-160497041382000529\",\"metrics\":[{\"metricId\":\"988eb02a-f67b-4200-b96e-48250890a621\",\"metricName\":\"Metric1\",\"metricDisplayName\":\"Metric1\",\"metricDescription\":\"\"},{\"metricId\":\"b51dbae1-009c-4fae-a24b-32cae2822706\",\"metricName\":\"Metric2\",\"metricDisplayName\":\"Metric2\",\"metricDescription\":\"\"}],\"dimension\":[{\"dimensionName\":\"Dim1\",\"dimensionDisplayName\":\"Dim1
+        display\"},{\"dimensionName\":\"Dim2\",\"dimensionDisplayName\":\"Dim2 display\"}],\"dataStartFrom\":\"2020-08-21T00:00:00Z\",\"dataSourceType\":\"AzureApplicationInsights\",\"timestampColumn\":\"\",\"startOffsetInSeconds\":0,\"maxQueryPerMinute\":30.0,\"granularityName\":\"Daily\",\"granularityAmount\":null,\"allUpIdentification\":\"__CUSTOM_SUM__\",\"needRollup\":\"NeedRollup\",\"fillMissingPointType\":\"CustomValue\",\"fillMissingPointValue\":555.0,\"rollUpMethod\":\"Sum\",\"rollUpColumns\":[],\"dataFeedDescription\":\"Data
+        feed description\",\"stopRetryAfterInSeconds\":-1,\"minRetryIntervalInSeconds\":-1,\"maxConcurrency\":-1,\"viewMode\":\"Private\",\"admins\":[\"kaghiya@microsoft.com\"],\"viewers\":[],\"creator\":\"kaghiya@microsoft.com\",\"status\":\"Active\",\"createdTime\":\"2020-11-10T01:07:45Z\",\"isAdmin\":true,\"actionLinkTemplate\":\"\",\"dataSourceParameter\":{\"apiKey\":\"connectionstring\",\"query\":\"let
+        gran=60m; let starttime=datetime(@StartTime); let endtime=starttime + gran;
+        requests |?where?timestamp?>=?starttime?and?timestamp?<?endtime |?summarize?request_count?=?count(),?duration_avg_ms?=?avg(duration),?duration_95th_ms?=?percentile(duration,?95),?duration_max_ms?=?max(duration)?by?resultCode\",\"azureCloud\":\"Azure\",\"applicationId\":\"3706fe8b-98f1-47c7-bf69-b73b6e53274d\"}},{\"dataFeedId\":\"94a55268-a300-4909-b25a-fadb446a0308\",\"dataFeedName\":\"js-test-appInsightsFeed-160496970249406144\",\"metrics\":[{\"metricId\":\"2c7aa84e-8caa-4715-bebc-fcfd80f68015\",\"metricName\":\"Metric1\",\"metricDisplayName\":\"Metric1\",\"metricDescription\":\"\"},{\"metricId\":\"b820536b-e92c-4a03-aeab-854710cb5277\",\"metricName\":\"Metric2\",\"metricDisplayName\":\"Metric2\",\"metricDescription\":\"\"}],\"dimension\":[{\"dimensionName\":\"Dim1\",\"dimensionDisplayName\":\"Dim1
+        display\"},{\"dimensionName\":\"Dim2\",\"dimensionDisplayName\":\"Dim2 display\"}],\"dataStartFrom\":\"2020-08-21T00:00:00Z\",\"dataSourceType\":\"AzureApplicationInsights\",\"timestampColumn\":\"\",\"startOffsetInSeconds\":0,\"maxQueryPerMinute\":30.0,\"granularityName\":\"Daily\",\"granularityAmount\":null,\"allUpIdentification\":\"__CUSTOM_SUM__\",\"needRollup\":\"NeedRollup\",\"fillMissingPointType\":\"CustomValue\",\"fillMissingPointValue\":555.0,\"rollUpMethod\":\"Sum\",\"rollUpColumns\":[],\"dataFeedDescription\":\"Data
+        feed description\",\"stopRetryAfterInSeconds\":-1,\"minRetryIntervalInSeconds\":-1,\"maxConcurrency\":-1,\"viewMode\":\"Private\",\"admins\":[\"kaghiya@microsoft.com\"],\"viewers\":[],\"creator\":\"kaghiya@microsoft.com\",\"status\":\"Active\",\"createdTime\":\"2020-11-10T00:57:07Z\",\"isAdmin\":true,\"actionLinkTemplate\":\"\",\"dataSourceParameter\":{\"apiKey\":\"connectionstring\",\"query\":\"let
+        gran=60m; let starttime=datetime(@StartTime); let endtime=starttime + gran;
+        requests |?where?timestamp?>=?starttime?and?timestamp?<?endtime |?summarize?request_count?=?count(),?duration_avg_ms?=?avg(duration),?duration_95th_ms?=?percentile(duration,?95),?duration_max_ms?=?max(duration)?by?resultCode\",\"azureCloud\":\"Azure\",\"applicationId\":\"3706fe8b-98f1-47c7-bf69-b73b6e53274d\"}},{\"dataFeedId\":\"b1e83213-bf36-4104-9116-ad62f445c3f6\",\"dataFeedName\":\"js-test-appInsightsFeed-160496963066701727\",\"metrics\":[{\"metricId\":\"4047a2c2-c936-4b25-9339-e485dd35565d\",\"metricName\":\"Metric1\",\"metricDisplayName\":\"Metric1\",\"metricDescription\":\"\"},{\"metricId\":\"f41f51c8-2e1e-4945-ad73-7d9f7b666341\",\"metricName\":\"Metric2\",\"metricDisplayName\":\"Metric2\",\"metricDescription\":\"\"}],\"dimension\":[{\"dimensionName\":\"Dim1\",\"dimensionDisplayName\":\"Dim1
+        display\"},{\"dimensionName\":\"Dim2\",\"dimensionDisplayName\":\"Dim2 display\"}],\"dataStartFrom\":\"2020-08-21T00:00:00Z\",\"dataSourceType\":\"AzureApplicationInsights\",\"timestampColumn\":\"\",\"startOffsetInSeconds\":0,\"maxQueryPerMinute\":30.0,\"granularityName\":\"Daily\",\"granularityAmount\":null,\"allUpIdentification\":\"__CUSTOM_SUM__\",\"needRollup\":\"NeedRollup\",\"fillMissingPointType\":\"CustomValue\",\"fillMissingPointValue\":555.0,\"rollUpMethod\":\"Sum\",\"rollUpColumns\":[],\"dataFeedDescription\":\"Data
+        feed description\",\"stopRetryAfterInSeconds\":-1,\"minRetryIntervalInSeconds\":-1,\"maxConcurrency\":-1,\"viewMode\":\"Private\",\"admins\":[\"kaghiya@microsoft.com\"],\"viewers\":[],\"creator\":\"kaghiya@microsoft.com\",\"status\":\"Active\",\"createdTime\":\"2020-11-10T00:53:52Z\",\"isAdmin\":true,\"actionLinkTemplate\":\"\",\"dataSourceParameter\":{\"apiKey\":\"connectionstring\",\"query\":\"let
+        gran=60m; let starttime=datetime(@StartTime); let endtime=starttime + gran;
+        requests |?where?timestamp?>=?starttime?and?timestamp?<?endtime |?summarize?request_count?=?count(),?duration_avg_ms?=?avg(duration),?duration_95th_ms?=?percentile(duration,?95),?duration_max_ms?=?max(duration)?by?resultCode\",\"azureCloud\":\"Azure\",\"applicationId\":\"3706fe8b-98f1-47c7-bf69-b73b6e53274d\"}},{\"dataFeedId\":\"d9bb5d8a-4ade-4b41-a912-a3f82ee93c14\",\"dataFeedName\":\"SqlServerDatafeed\",\"metrics\":[{\"metricId\":\"81582df6-0272-40bf-994d-eb497b74d13b\",\"metricName\":\"cost\",\"metricDisplayName\":\"cost\",\"metricDescription\":\"\"},{\"metricId\":\"507eaf33-3a65-4664-a7d6-5cdcc2dda6ff\",\"metricName\":\"revenue\",\"metricDisplayName\":\"revenue\",\"metricDescription\":\"\"}],\"dimension\":[{\"dimensionName\":\"category\",\"dimensionDisplayName\":\"category\"},{\"dimensionName\":\"city\",\"dimensionDisplayName\":\"city\"}],\"dataStartFrom\":\"2020-08-11T00:00:00Z\",\"dataSourceType\":\"SqlServer\",\"timestampColumn\":\"timestamp\",\"startOffsetInSeconds\":0,\"maxQueryPerMinute\":30.0,\"granularityName\":\"Daily\",\"granularityAmount\":null,\"allUpIdentification\":\"__SUM__\",\"needRollup\":\"NeedRollup\",\"fillMissingPointType\":\"SmartFilling\",\"fillMissingPointValue\":0.0,\"rollUpMethod\":\"Sum\",\"rollUpColumns\":[],\"dataFeedDescription\":\"\",\"stopRetryAfterInSeconds\":-1,\"minRetryIntervalInSeconds\":-1,\"maxConcurrency\":-1,\"viewMode\":\"Private\",\"admins\":[\"johanste@microsoft.com\",\"yumeng@microsoft.com\",\"xiangyan@microsoft.com\",\"savaity@microsoft.com\",\"anuchan@microsoft.com\",\"chriss@microsoft.com\",\"kaolsze@microsoft.com\",\"camaiaor@microsoft.com\",\"krpratic@microsoft.com\",\"elraikhm@microsoft.com\",\"kaghiya@microsoft.com\",\"mayurid@microsoft.com\"],\"viewers\":[],\"creator\":\"savaity@microsoft.com\",\"status\":\"Active\",\"createdTime\":\"2020-10-16T17:35:24Z\",\"isAdmin\":true,\"actionLinkTemplate\":\"\",\"dataSourceParameter\":{\"connectionString\":\"connectionstring;\",\"query\":\"select
+        * from adsample2 where Timestamp = @StartTime\"}},{\"dataFeedId\":\"b23b7c41-4c49-4ad6-a0b8-cbb91f11cd33\",\"dataFeedName\":\"BlobDataFeed\",\"metrics\":[{\"metricId\":\"27b31c03-7057-4322-bb44-4ab780251528\",\"metricName\":\"Metric1\",\"metricDisplayName\":\"Metric1\",\"metricDescription\":\"\"},{\"metricId\":\"1c957231-7597-4023-8dbb-7de182929e21\",\"metricName\":\"Metric2\",\"metricDisplayName\":\"Metric2\",\"metricDescription\":\"\"}],\"dimension\":[{\"dimensionName\":\"Dim1\",\"dimensionDisplayName\":\"Dim1\"},{\"dimensionName\":\"Dim2\",\"dimensionDisplayName\":\"Dim2\"}],\"dataStartFrom\":\"2020-08-09T00:00:00Z\",\"dataSourceType\":\"AzureBlob\",\"timestampColumn\":\"Timestamp\",\"startOffsetInSeconds\":0,\"maxQueryPerMinute\":30.0,\"granularityName\":\"Daily\",\"granularityAmount\":null,\"allUpIdentification\":null,\"needRollup\":\"NoRollup\",\"fillMissingPointType\":\"SmartFilling\",\"fillMissingPointValue\":0.0,\"rollUpMethod\":\"None\",\"rollUpColumns\":[],\"dataFeedDescription\":\"\",\"stopRetryAfterInSeconds\":-1,\"minRetryIntervalInSeconds\":-1,\"maxConcurrency\":-1,\"viewMode\":\"Private\",\"admins\":[\"kaghiya@microsoft.com\",\"savaity@microsoft.com\",\"krpratic@microsoft.com\",\"stevencl@microsoft.com\",\"mayurid@microsoft.com\",\"johanste@microsoft.com\",\"anuchan@microsoft.com\",\"xiangyan@microsoft.com\",\"chriss@microsoft.com\",\"camaiaor@microsoft.com\",\"kaolsze@microsoft.com\",\"yumeng@microsoft.com\",\"elraikhm@microsoft.com\"],\"viewers\":[],\"creator\":\"savaity@microsoft.com\",\"status\":\"Active\",\"createdTime\":\"2020-10-16T17:34:40Z\",\"isAdmin\":true,\"actionLinkTemplate\":\"\",\"dataSourceParameter\":{\"container\":\"adsample\",\"connectionString\":\"connectionstring\",\"blobTemplate\":\"%Y/%m/%d/%h/JsonFormatV2.json\",\"jsonFormatVersion\":\"V2\"}},{\"dataFeedId\":\"data_feed_id\",\"dataFeedName\":\"azsqlDatafeed\",\"metrics\":[{\"metricId\":\"metric_id\",\"metricName\":\"cost\",\"metricDisplayName\":\"cost\",\"metricDescription\":\"\"},{\"metricId\":\"a98a72e6-18ab-4dab-bac4-3db605691bca\",\"metricName\":\"revenue\",\"metricDisplayName\":\"revenue\",\"metricDescription\":\"\"}],\"dimension\":[{\"dimensionName\":\"category\",\"dimensionDisplayName\":\"category\"},{\"dimensionName\":\"city\",\"dimensionDisplayName\":\"city\"}],\"dataStartFrom\":\"2020-08-30T00:00:00Z\",\"dataSourceType\":\"SqlServer\",\"timestampColumn\":\"timestamp\",\"startOffsetInSeconds\":0,\"maxQueryPerMinute\":30.0,\"granularityName\":\"Daily\",\"granularityAmount\":null,\"allUpIdentification\":\"__SUM__\",\"needRollup\":\"NeedRollup\",\"fillMissingPointType\":\"SmartFilling\",\"fillMissingPointValue\":0.0,\"rollUpMethod\":\"Sum\",\"rollUpColumns\":[],\"dataFeedDescription\":\"\",\"stopRetryAfterInSeconds\":-1,\"minRetryIntervalInSeconds\":-1,\"maxConcurrency\":-1,\"viewMode\":\"Private\",\"admins\":[\"elraikhm@microsoft.com\",\"savaity@microsoft.com\",\"xiangyan@microsoft.com\",\"kaghiya@microsoft.com\",\"camaiaor@microsoft.com\",\"chriss@microsoft.com\",\"yumeng@microsoft.com\",\"krpratic@microsoft.com\",\"anuchan@microsoft.com\"],\"viewers\":[],\"creator\":\"kaghiya@microsoft.com\",\"status\":\"Active\",\"createdTime\":\"2020-10-05T18:56:43Z\",\"isAdmin\":true,\"actionLinkTemplate\":\"\",\"dataSourceParameter\":{\"connectionString\":\"connectionstring;\",\"query\":\"select
+        * from adsample2 where Timestamp = @StartTime\"}},{\"dataFeedId\":\"a4030af9-4419-4d3a-a2cc-49022cf54914\",\"dataFeedName\":\"testDataFeed1\",\"metrics\":[{\"metricId\":\"efa9adb3-7342-494b-a6f1-427021e75ad6\",\"metricName\":\"Metric1\",\"metricDisplayName\":\"Metric1\",\"metricDescription\":\"\"},{\"metricId\":\"a1948021-0002-4c37-be71-eaaa29f1e2e7\",\"metricName\":\"Metric2\",\"metricDisplayName\":\"Metric2\",\"metricDescription\":\"\"}],\"dimension\":[{\"dimensionName\":\"Dim1\",\"dimensionDisplayName\":\"Dim1\"},{\"dimensionName\":\"Dim2\",\"dimensionDisplayName\":\"Dim2\"}],\"dataStartFrom\":\"2020-01-01T00:00:00Z\",\"dataSourceType\":\"AzureBlob\",\"timestampColumn\":\"Timestamp\",\"startOffsetInSeconds\":0,\"maxQueryPerMinute\":30.0,\"granularityName\":\"Daily\",\"granularityAmount\":null,\"allUpIdentification\":\"__SUM__\",\"needRollup\":\"NeedRollup\",\"fillMissingPointType\":\"SmartFilling\",\"fillMissingPointValue\":0.0,\"rollUpMethod\":\"Sum\",\"rollUpColumns\":[],\"dataFeedDescription\":\"\",\"stopRetryAfterInSeconds\":-1,\"minRetryIntervalInSeconds\":-1,\"maxConcurrency\":-1,\"viewMode\":\"Private\",\"admins\":[\"camaiaor@microsoft.com\",\"chriss@microsoft.com\",\"anuchan@microsoft.com\",\"kaghiya@microsoft.com\",\"xiangyan@microsoft.com\",\"krpratic@microsoft.com\",\"yumeng@microsoft.com\",\"savaity@microsoft.com\"],\"viewers\":[],\"creator\":\"kaghiya@microsoft.com\",\"status\":\"Active\",\"createdTime\":\"2020-10-02T19:20:53Z\",\"isAdmin\":true,\"actionLinkTemplate\":\"\",\"dataSourceParameter\":{\"container\":\"adsample\",\"connectionString\":\"connectionstring\",\"blobTemplate\":\"%Y/%m/%d/%h/JsonFormatV2.json\",\"jsonFormatVersion\":\"v2\"}}],\"@nextLink\":null}"
+    headers:
+      apim-request-id:
+      - 982966cc-489b-4adf-8a3f-d2c5410520ea
+      content-length:
+      - '18905'
+      content-type:
+      - application/json; charset=utf-8
+      date:
+      - Sat, 26 Dec 2020 19:31:34 GMT
+      strict-transport-security:
+      - max-age=31536000; includeSubDomains; preload
+      x-content-type-options:
+      - nosniff
+      x-envoy-upstream-service-time:
+      - '126'
+      x-request-id:
+      - 982966cc-489b-4adf-8a3f-d2c5410520ea
+    status:
+      code: 200
+      message: OK
+version: 1
diff --git a/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_data_feeds_aad.test_list_data_feeds_with_skip.yaml b/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_data_feeds_aad.test_list_data_feeds_with_skip.yaml
new file mode 100644
index 000000000000..25edbd83269f
--- /dev/null
+++ b/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_data_feeds_aad.test_list_data_feeds_with_skip.yaml
@@ -0,0 +1,128 @@
+interactions:
+- request:
+    body: null
+    headers:
+      Accept:
+      - application/json
+      Accept-Encoding:
+      - gzip, deflate
+      Connection:
+      - keep-alive
+      User-Agent:
+      - azsdk-python-ai-metricsadvisor/1.0.0b3 Python/3.8.6 (Windows-10-10.0.19041-SP0)
+    method: GET
+    uri: https://js-metrics-advisor.cognitiveservices.azure.com/metricsadvisor/v1.0/dataFeeds
+  response:
+    body:
+      string: "{\"value\":[{\"dataFeedId\":\"0878ef33-d3c0-4868-a556-c0287d971180\",\"dataFeedName\":\"updatehlgw2i4smv3ngmdqej\",\"metrics\":[{\"metricId\":\"97adb289-7ce7-41a8-a476-bc6131de2e00\",\"metricName\":\"cost\",\"metricDisplayName\":\"display
+        cost\",\"metricDescription\":\"the cost\"},{\"metricId\":\"eecc41f9-518e-4186-bb6b-b18ee53c7ecf\",\"metricName\":\"revenue\",\"metricDisplayName\":\"display
+        revenue\",\"metricDescription\":\"the revenue\"}],\"dimension\":[{\"dimensionName\":\"category\",\"dimensionDisplayName\":\"display
+        category\"},{\"dimensionName\":\"city\",\"dimensionDisplayName\":\"display
+        city\"}],\"dataStartFrom\":\"2019-10-01T00:00:00Z\",\"dataSourceType\":\"SqlServer\",\"timestampColumn\":\"Timestamp\",\"startOffsetInSeconds\":-1,\"maxQueryPerMinute\":30.0,\"granularityName\":\"Daily\",\"granularityAmount\":null,\"allUpIdentification\":null,\"needRollup\":\"NoRollup\",\"fillMissingPointType\":\"SmartFilling\",\"fillMissingPointValue\":0.0,\"rollUpMethod\":\"None\",\"rollUpColumns\":[],\"dataFeedDescription\":\"my
+        first data feed\",\"stopRetryAfterInSeconds\":-1,\"minRetryIntervalInSeconds\":-1,\"maxConcurrency\":0,\"viewMode\":\"Private\",\"admins\":[\"yournamehere@microsoft.com\",\"f850650c-1fcf-4489-b46f-71af2e30d360\"],\"viewers\":[\"viewers\"],\"creator\":\"f850650c-1fcf-4489-b46f-71af2e30d360\",\"status\":\"Active\",\"createdTime\":\"2020-12-26T19:11:43Z\",\"isAdmin\":true,\"actionLinkTemplate\":\"action
+        link template\",\"dataSourceParameter\":{\"connectionString\":\"connectionstring\",\"query\":\"select\u202F*\u202Ffrom\u202Fadsample2\u202Fwhere\u202FTimestamp\u202F=\u202F@StartTime\"}},{\"dataFeedId\":\"bd1533c3-b9a4-44f1-9a49-59d3ea4f5f4d\",\"dataFeedName\":\"js-test-appInsightsFeed-160530608834108103\",\"metrics\":[{\"metricId\":\"c5ed1cbf-6f8b-4c63-83f9-8fdbeb3099c3\",\"metricName\":\"cost\",\"metricDisplayName\":\"cost\",\"metricDescription\":\"\"},{\"metricId\":\"cd69f758-a534-458e-96b9-2ed9c798476a\",\"metricName\":\"revenue\",\"metricDisplayName\":\"revenue\",\"metricDescription\":\"\"}],\"dimension\":[{\"dimensionName\":\"category\",\"dimensionDisplayName\":\"category\"},{\"dimensionName\":\"city\",\"dimensionDisplayName\":\"city\"}],\"dataStartFrom\":\"2020-08-21T00:00:00Z\",\"dataSourceType\":\"AzureApplicationInsights\",\"timestampColumn\":\"\",\"startOffsetInSeconds\":0,\"maxQueryPerMinute\":30.0,\"granularityName\":\"Daily\",\"granularityAmount\":null,\"allUpIdentification\":\"__CUSTOM_SUM__\",\"needRollup\":\"NeedRollup\",\"fillMissingPointType\":\"CustomValue\",\"fillMissingPointValue\":555.0,\"rollUpMethod\":\"Sum\",\"rollUpColumns\":[],\"dataFeedDescription\":\"Data
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+        gran=60m; let starttime=datetime(@StartTime); let endtime=starttime + gran;
+        requests |?where?timestamp?>=?starttime?and?timestamp?<?endtime |?summarize?request_count?=?count(),?duration_avg_ms?=?avg(duration),?duration_95th_ms?=?percentile(duration,?95),?duration_max_ms?=?max(duration)?by?resultCode\",\"azureCloud\":\"Azure\",\"applicationId\":\"3706fe8b-98f1-47c7-bf69-b73b6e53274d\"}},{\"dataFeedId\":\"2169ef15-ae74-4fe6-bce1-1bb7c58217a4\",\"dataFeedName\":\"js-test-appInsightsFeed-160530606466100954\",\"metrics\":[{\"metricId\":\"be0316fc-9106-4d02-b1b7-2248614ce8ff\",\"metricName\":\"cost\",\"metricDisplayName\":\"cost\",\"metricDescription\":\"\"},{\"metricId\":\"465c2be4-3a00-4178-a6a9-41fcb4432cf4\",\"metricName\":\"revenue\",\"metricDisplayName\":\"revenue\",\"metricDescription\":\"\"}],\"dimension\":[{\"dimensionName\":\"category\",\"dimensionDisplayName\":\"category\"},{\"dimensionName\":\"city\",\"dimensionDisplayName\":\"city\"}],\"dataStartFrom\":\"2020-08-21T00:00:00Z\",\"dataSourceType\":\"AzureApplicationInsights\",\"timestampColumn\":\"\",\"startOffsetInSeconds\":0,\"maxQueryPerMinute\":30.0,\"granularityName\":\"Daily\",\"granularityAmount\":null,\"allUpIdentification\":\"__CUSTOM_SUM__\",\"needRollup\":\"NeedRollup\",\"fillMissingPointType\":\"CustomValue\",\"fillMissingPointValue\":555.0,\"rollUpMethod\":\"Sum\",\"rollUpColumns\":[],\"dataFeedDescription\":\"Data
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+        gran=60m; let starttime=datetime(@StartTime); let endtime=starttime + gran;
+        requests |?where?timestamp?>=?starttime?and?timestamp?<?endtime |?summarize?request_count?=?count(),?duration_avg_ms?=?avg(duration),?duration_95th_ms?=?percentile(duration,?95),?duration_max_ms?=?max(duration)?by?resultCode\",\"azureCloud\":\"Azure\",\"applicationId\":\"3706fe8b-98f1-47c7-bf69-b73b6e53274d\"}},{\"dataFeedId\":\"9d85a33d-7de0-411d-aa0f-f1940b7973b6\",\"dataFeedName\":\"test_datafeed_1605050124034\",\"metrics\":[{\"metricId\":\"49205ee4-255c-4c4e-8d8d-d94b87896ff9\",\"metricName\":\"cost\",\"metricDisplayName\":\"cost\",\"metricDescription\":\"Metric2
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+        gran=60m; let starttime=datetime(@StartTime); let endtime=starttime + gran;
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+        gran=60m; let starttime=datetime(@StartTime); let endtime=starttime + gran;
+        requests |?where?timestamp?>=?starttime?and?timestamp?<?endtime |?summarize?request_count?=?count(),?duration_avg_ms?=?avg(duration),?duration_95th_ms?=?percentile(duration,?95),?duration_max_ms?=?max(duration)?by?resultCode\",\"azureCloud\":\"Azure\",\"applicationId\":\"3706fe8b-98f1-47c7-bf69-b73b6e53274d\"}},{\"dataFeedId\":\"b1e83213-bf36-4104-9116-ad62f445c3f6\",\"dataFeedName\":\"js-test-appInsightsFeed-160496963066701727\",\"metrics\":[{\"metricId\":\"4047a2c2-c936-4b25-9339-e485dd35565d\",\"metricName\":\"Metric1\",\"metricDisplayName\":\"Metric1\",\"metricDescription\":\"\"},{\"metricId\":\"f41f51c8-2e1e-4945-ad73-7d9f7b666341\",\"metricName\":\"Metric2\",\"metricDisplayName\":\"Metric2\",\"metricDescription\":\"\"}],\"dimension\":[{\"dimensionName\":\"Dim1\",\"dimensionDisplayName\":\"Dim1
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+        gran=60m; let starttime=datetime(@StartTime); let endtime=starttime + gran;
+        requests |?where?timestamp?>=?starttime?and?timestamp?<?endtime |?summarize?request_count?=?count(),?duration_avg_ms?=?avg(duration),?duration_95th_ms?=?percentile(duration,?95),?duration_max_ms?=?max(duration)?by?resultCode\",\"azureCloud\":\"Azure\",\"applicationId\":\"3706fe8b-98f1-47c7-bf69-b73b6e53274d\"}},{\"dataFeedId\":\"d9bb5d8a-4ade-4b41-a912-a3f82ee93c14\",\"dataFeedName\":\"SqlServerDatafeed\",\"metrics\":[{\"metricId\":\"81582df6-0272-40bf-994d-eb497b74d13b\",\"metricName\":\"cost\",\"metricDisplayName\":\"cost\",\"metricDescription\":\"\"},{\"metricId\":\"507eaf33-3a65-4664-a7d6-5cdcc2dda6ff\",\"metricName\":\"revenue\",\"metricDisplayName\":\"revenue\",\"metricDescription\":\"\"}],\"dimension\":[{\"dimensionName\":\"category\",\"dimensionDisplayName\":\"category\"},{\"dimensionName\":\"city\",\"dimensionDisplayName\":\"city\"}],\"dataStartFrom\":\"2020-08-11T00:00:00Z\",\"dataSourceType\":\"SqlServer\",\"timestampColumn\":\"timestamp\",\"startOffsetInSeconds\":0,\"maxQueryPerMinute\":30.0,\"granularityName\":\"Daily\",\"granularityAmount\":null,\"allUpIdentification\":\"__SUM__\",\"needRollup\":\"NeedRollup\",\"fillMissingPointType\":\"SmartFilling\",\"fillMissingPointValue\":0.0,\"rollUpMethod\":\"Sum\",\"rollUpColumns\":[],\"dataFeedDescription\":\"\",\"stopRetryAfterInSeconds\":-1,\"minRetryIntervalInSeconds\":-1,\"maxConcurrency\":-1,\"viewMode\":\"Private\",\"admins\":[\"johanste@microsoft.com\",\"yumeng@microsoft.com\",\"xiangyan@microsoft.com\",\"savaity@microsoft.com\",\"anuchan@microsoft.com\",\"chriss@microsoft.com\",\"kaolsze@microsoft.com\",\"camaiaor@microsoft.com\",\"krpratic@microsoft.com\",\"elraikhm@microsoft.com\",\"kaghiya@microsoft.com\",\"mayurid@microsoft.com\"],\"viewers\":[],\"creator\":\"savaity@microsoft.com\",\"status\":\"Active\",\"createdTime\":\"2020-10-16T17:35:24Z\",\"isAdmin\":true,\"actionLinkTemplate\":\"\",\"dataSourceParameter\":{\"connectionString\":\"connectionstring;\",\"query\":\"select
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+      strict-transport-security:
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+      x-content-type-options:
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+      x-envoy-upstream-service-time:
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+      x-request-id:
+      - 14d53289-3133-4acb-8ea1-ecc1e8d8dcdd
+    status:
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+      message: OK
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+      Connection:
+      - keep-alive
+      User-Agent:
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+    method: GET
+    uri: https://js-metrics-advisor.cognitiveservices.azure.com/metricsadvisor/v1.0/dataFeeds?$skip=1
+  response:
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+        description"}],"dimension":[{"dimensionName":"category","dimensionDisplayName":"category
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+        * from adsample2 where Timestamp = @StartTime"}},{"dataFeedId":"7b9edf98-78b6-4ddd-b44a-2bac83cae6b3","dataFeedName":"js-test-appInsightsFeed-160497041382000529","metrics":[{"metricId":"988eb02a-f67b-4200-b96e-48250890a621","metricName":"Metric1","metricDisplayName":"Metric1","metricDescription":""},{"metricId":"b51dbae1-009c-4fae-a24b-32cae2822706","metricName":"Metric2","metricDisplayName":"Metric2","metricDescription":""}],"dimension":[{"dimensionName":"Dim1","dimensionDisplayName":"Dim1
+        display"},{"dimensionName":"Dim2","dimensionDisplayName":"Dim2 display"}],"dataStartFrom":"2020-08-21T00:00:00Z","dataSourceType":"AzureApplicationInsights","timestampColumn":"","startOffsetInSeconds":0,"maxQueryPerMinute":30.0,"granularityName":"Daily","granularityAmount":null,"allUpIdentification":"__CUSTOM_SUM__","needRollup":"NeedRollup","fillMissingPointType":"CustomValue","fillMissingPointValue":555.0,"rollUpMethod":"Sum","rollUpColumns":[],"dataFeedDescription":"Data
+        feed description","stopRetryAfterInSeconds":-1,"minRetryIntervalInSeconds":-1,"maxConcurrency":-1,"viewMode":"Private","admins":["kaghiya@microsoft.com"],"viewers":[],"creator":"kaghiya@microsoft.com","status":"Active","createdTime":"2020-11-10T01:07:45Z","isAdmin":true,"actionLinkTemplate":"","dataSourceParameter":{"apiKey":"connectionstring","query":"let
+        gran=60m; let starttime=datetime(@StartTime); let endtime=starttime + gran;
+        requests |?where?timestamp?>=?starttime?and?timestamp?<?endtime |?summarize?request_count?=?count(),?duration_avg_ms?=?avg(duration),?duration_95th_ms?=?percentile(duration,?95),?duration_max_ms?=?max(duration)?by?resultCode","azureCloud":"Azure","applicationId":"3706fe8b-98f1-47c7-bf69-b73b6e53274d"}},{"dataFeedId":"94a55268-a300-4909-b25a-fadb446a0308","dataFeedName":"js-test-appInsightsFeed-160496970249406144","metrics":[{"metricId":"2c7aa84e-8caa-4715-bebc-fcfd80f68015","metricName":"Metric1","metricDisplayName":"Metric1","metricDescription":""},{"metricId":"b820536b-e92c-4a03-aeab-854710cb5277","metricName":"Metric2","metricDisplayName":"Metric2","metricDescription":""}],"dimension":[{"dimensionName":"Dim1","dimensionDisplayName":"Dim1
+        display"},{"dimensionName":"Dim2","dimensionDisplayName":"Dim2 display"}],"dataStartFrom":"2020-08-21T00:00:00Z","dataSourceType":"AzureApplicationInsights","timestampColumn":"","startOffsetInSeconds":0,"maxQueryPerMinute":30.0,"granularityName":"Daily","granularityAmount":null,"allUpIdentification":"__CUSTOM_SUM__","needRollup":"NeedRollup","fillMissingPointType":"CustomValue","fillMissingPointValue":555.0,"rollUpMethod":"Sum","rollUpColumns":[],"dataFeedDescription":"Data
+        feed description","stopRetryAfterInSeconds":-1,"minRetryIntervalInSeconds":-1,"maxConcurrency":-1,"viewMode":"Private","admins":["kaghiya@microsoft.com"],"viewers":[],"creator":"kaghiya@microsoft.com","status":"Active","createdTime":"2020-11-10T00:57:07Z","isAdmin":true,"actionLinkTemplate":"","dataSourceParameter":{"apiKey":"connectionstring","query":"let
+        gran=60m; let starttime=datetime(@StartTime); let endtime=starttime + gran;
+        requests |?where?timestamp?>=?starttime?and?timestamp?<?endtime |?summarize?request_count?=?count(),?duration_avg_ms?=?avg(duration),?duration_95th_ms?=?percentile(duration,?95),?duration_max_ms?=?max(duration)?by?resultCode","azureCloud":"Azure","applicationId":"3706fe8b-98f1-47c7-bf69-b73b6e53274d"}},{"dataFeedId":"b1e83213-bf36-4104-9116-ad62f445c3f6","dataFeedName":"js-test-appInsightsFeed-160496963066701727","metrics":[{"metricId":"4047a2c2-c936-4b25-9339-e485dd35565d","metricName":"Metric1","metricDisplayName":"Metric1","metricDescription":""},{"metricId":"f41f51c8-2e1e-4945-ad73-7d9f7b666341","metricName":"Metric2","metricDisplayName":"Metric2","metricDescription":""}],"dimension":[{"dimensionName":"Dim1","dimensionDisplayName":"Dim1
+        display"},{"dimensionName":"Dim2","dimensionDisplayName":"Dim2 display"}],"dataStartFrom":"2020-08-21T00:00:00Z","dataSourceType":"AzureApplicationInsights","timestampColumn":"","startOffsetInSeconds":0,"maxQueryPerMinute":30.0,"granularityName":"Daily","granularityAmount":null,"allUpIdentification":"__CUSTOM_SUM__","needRollup":"NeedRollup","fillMissingPointType":"CustomValue","fillMissingPointValue":555.0,"rollUpMethod":"Sum","rollUpColumns":[],"dataFeedDescription":"Data
+        feed description","stopRetryAfterInSeconds":-1,"minRetryIntervalInSeconds":-1,"maxConcurrency":-1,"viewMode":"Private","admins":["kaghiya@microsoft.com"],"viewers":[],"creator":"kaghiya@microsoft.com","status":"Active","createdTime":"2020-11-10T00:53:52Z","isAdmin":true,"actionLinkTemplate":"","dataSourceParameter":{"apiKey":"connectionstring","query":"let
+        gran=60m; let starttime=datetime(@StartTime); let endtime=starttime + gran;
+        requests |?where?timestamp?>=?starttime?and?timestamp?<?endtime |?summarize?request_count?=?count(),?duration_avg_ms?=?avg(duration),?duration_95th_ms?=?percentile(duration,?95),?duration_max_ms?=?max(duration)?by?resultCode","azureCloud":"Azure","applicationId":"3706fe8b-98f1-47c7-bf69-b73b6e53274d"}},{"dataFeedId":"d9bb5d8a-4ade-4b41-a912-a3f82ee93c14","dataFeedName":"SqlServerDatafeed","metrics":[{"metricId":"81582df6-0272-40bf-994d-eb497b74d13b","metricName":"cost","metricDisplayName":"cost","metricDescription":""},{"metricId":"507eaf33-3a65-4664-a7d6-5cdcc2dda6ff","metricName":"revenue","metricDisplayName":"revenue","metricDescription":""}],"dimension":[{"dimensionName":"category","dimensionDisplayName":"category"},{"dimensionName":"city","dimensionDisplayName":"city"}],"dataStartFrom":"2020-08-11T00:00:00Z","dataSourceType":"SqlServer","timestampColumn":"timestamp","startOffsetInSeconds":0,"maxQueryPerMinute":30.0,"granularityName":"Daily","granularityAmount":null,"allUpIdentification":"__SUM__","needRollup":"NeedRollup","fillMissingPointType":"SmartFilling","fillMissingPointValue":0.0,"rollUpMethod":"Sum","rollUpColumns":[],"dataFeedDescription":"","stopRetryAfterInSeconds":-1,"minRetryIntervalInSeconds":-1,"maxConcurrency":-1,"viewMode":"Private","admins":["johanste@microsoft.com","yumeng@microsoft.com","xiangyan@microsoft.com","savaity@microsoft.com","anuchan@microsoft.com","chriss@microsoft.com","kaolsze@microsoft.com","camaiaor@microsoft.com","krpratic@microsoft.com","elraikhm@microsoft.com","kaghiya@microsoft.com","mayurid@microsoft.com"],"viewers":[],"creator":"savaity@microsoft.com","status":"Active","createdTime":"2020-10-16T17:35:24Z","isAdmin":true,"actionLinkTemplate":"","dataSourceParameter":{"connectionString":"connectionstring;","query":"select
+        * from adsample2 where Timestamp = @StartTime"}},{"dataFeedId":"b23b7c41-4c49-4ad6-a0b8-cbb91f11cd33","dataFeedName":"BlobDataFeed","metrics":[{"metricId":"27b31c03-7057-4322-bb44-4ab780251528","metricName":"Metric1","metricDisplayName":"Metric1","metricDescription":""},{"metricId":"1c957231-7597-4023-8dbb-7de182929e21","metricName":"Metric2","metricDisplayName":"Metric2","metricDescription":""}],"dimension":[{"dimensionName":"Dim1","dimensionDisplayName":"Dim1"},{"dimensionName":"Dim2","dimensionDisplayName":"Dim2"}],"dataStartFrom":"2020-08-09T00:00:00Z","dataSourceType":"AzureBlob","timestampColumn":"Timestamp","startOffsetInSeconds":0,"maxQueryPerMinute":30.0,"granularityName":"Daily","granularityAmount":null,"allUpIdentification":null,"needRollup":"NoRollup","fillMissingPointType":"SmartFilling","fillMissingPointValue":0.0,"rollUpMethod":"None","rollUpColumns":[],"dataFeedDescription":"","stopRetryAfterInSeconds":-1,"minRetryIntervalInSeconds":-1,"maxConcurrency":-1,"viewMode":"Private","admins":["kaghiya@microsoft.com","savaity@microsoft.com","krpratic@microsoft.com","stevencl@microsoft.com","mayurid@microsoft.com","johanste@microsoft.com","anuchan@microsoft.com","xiangyan@microsoft.com","chriss@microsoft.com","camaiaor@microsoft.com","kaolsze@microsoft.com","yumeng@microsoft.com","elraikhm@microsoft.com"],"viewers":[],"creator":"savaity@microsoft.com","status":"Active","createdTime":"2020-10-16T17:34:40Z","isAdmin":true,"actionLinkTemplate":"","dataSourceParameter":{"container":"adsample","connectionString":"connectionstring","blobTemplate":"%Y/%m/%d/%h/JsonFormatV2.json","jsonFormatVersion":"V2"}},{"dataFeedId":"data_feed_id","dataFeedName":"azsqlDatafeed","metrics":[{"metricId":"metric_id","metricName":"cost","metricDisplayName":"cost","metricDescription":""},{"metricId":"a98a72e6-18ab-4dab-bac4-3db605691bca","metricName":"revenue","metricDisplayName":"revenue","metricDescription":""}],"dimension":[{"dimensionName":"category","dimensionDisplayName":"category"},{"dimensionName":"city","dimensionDisplayName":"city"}],"dataStartFrom":"2020-08-30T00:00:00Z","dataSourceType":"SqlServer","timestampColumn":"timestamp","startOffsetInSeconds":0,"maxQueryPerMinute":30.0,"granularityName":"Daily","granularityAmount":null,"allUpIdentification":"__SUM__","needRollup":"NeedRollup","fillMissingPointType":"SmartFilling","fillMissingPointValue":0.0,"rollUpMethod":"Sum","rollUpColumns":[],"dataFeedDescription":"","stopRetryAfterInSeconds":-1,"minRetryIntervalInSeconds":-1,"maxConcurrency":-1,"viewMode":"Private","admins":["elraikhm@microsoft.com","savaity@microsoft.com","xiangyan@microsoft.com","kaghiya@microsoft.com","camaiaor@microsoft.com","chriss@microsoft.com","yumeng@microsoft.com","krpratic@microsoft.com","anuchan@microsoft.com"],"viewers":[],"creator":"kaghiya@microsoft.com","status":"Active","createdTime":"2020-10-05T18:56:43Z","isAdmin":true,"actionLinkTemplate":"","dataSourceParameter":{"connectionString":"connectionstring;","query":"select
+        * from adsample2 where Timestamp = @StartTime"}},{"dataFeedId":"a4030af9-4419-4d3a-a2cc-49022cf54914","dataFeedName":"testDataFeed1","metrics":[{"metricId":"efa9adb3-7342-494b-a6f1-427021e75ad6","metricName":"Metric1","metricDisplayName":"Metric1","metricDescription":""},{"metricId":"a1948021-0002-4c37-be71-eaaa29f1e2e7","metricName":"Metric2","metricDisplayName":"Metric2","metricDescription":""}],"dimension":[{"dimensionName":"Dim1","dimensionDisplayName":"Dim1"},{"dimensionName":"Dim2","dimensionDisplayName":"Dim2"}],"dataStartFrom":"2020-01-01T00:00:00Z","dataSourceType":"AzureBlob","timestampColumn":"Timestamp","startOffsetInSeconds":0,"maxQueryPerMinute":30.0,"granularityName":"Daily","granularityAmount":null,"allUpIdentification":"__SUM__","needRollup":"NeedRollup","fillMissingPointType":"SmartFilling","fillMissingPointValue":0.0,"rollUpMethod":"Sum","rollUpColumns":[],"dataFeedDescription":"","stopRetryAfterInSeconds":-1,"minRetryIntervalInSeconds":-1,"maxConcurrency":-1,"viewMode":"Private","admins":["camaiaor@microsoft.com","chriss@microsoft.com","anuchan@microsoft.com","kaghiya@microsoft.com","xiangyan@microsoft.com","krpratic@microsoft.com","yumeng@microsoft.com","savaity@microsoft.com"],"viewers":[],"creator":"kaghiya@microsoft.com","status":"Active","createdTime":"2020-10-02T19:20:53Z","isAdmin":true,"actionLinkTemplate":"","dataSourceParameter":{"container":"adsample","connectionString":"connectionstring","blobTemplate":"%Y/%m/%d/%h/JsonFormatV2.json","jsonFormatVersion":"v2"}}],"@nextLink":null}'
+    headers:
+      apim-request-id:
+      - f4562dd2-4a7c-4f2b-8b1e-e5ea1aa71020
+      content-length:
+      - '17244'
+      content-type:
+      - application/json; charset=utf-8
+      date:
+      - Sat, 26 Dec 2020 19:31:35 GMT
+      strict-transport-security:
+      - max-age=31536000; includeSubDomains; preload
+      x-content-type-options:
+      - nosniff
+      x-envoy-upstream-service-time:
+      - '116'
+      x-request-id:
+      - f4562dd2-4a7c-4f2b-8b1e-e5ea1aa71020
+    status:
+      code: 200
+      message: OK
+version: 1
diff --git a/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_data_feeds_aad.test_list_data_feeds_with_source_type.yaml b/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_data_feeds_aad.test_list_data_feeds_with_source_type.yaml
new file mode 100644
index 000000000000..4335d31cbf1c
--- /dev/null
+++ b/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_data_feeds_aad.test_list_data_feeds_with_source_type.yaml
@@ -0,0 +1,50 @@
+interactions:
+- request:
+    body: null
+    headers:
+      Accept:
+      - application/json
+      Accept-Encoding:
+      - gzip, deflate
+      Connection:
+      - keep-alive
+      User-Agent:
+      - azsdk-python-ai-metricsadvisor/1.0.0b3 Python/3.8.6 (Windows-10-10.0.19041-SP0)
+    method: GET
+    uri: https://js-metrics-advisor.cognitiveservices.azure.com/metricsadvisor/v1.0/dataFeeds?dataSourceType=SqlServer
+  response:
+    body:
+      string: "{\"value\":[{\"dataFeedId\":\"0878ef33-d3c0-4868-a556-c0287d971180\",\"dataFeedName\":\"updatehlgw2i4smv3ngmdqej\",\"metrics\":[{\"metricId\":\"97adb289-7ce7-41a8-a476-bc6131de2e00\",\"metricName\":\"cost\",\"metricDisplayName\":\"display
+        cost\",\"metricDescription\":\"the cost\"},{\"metricId\":\"eecc41f9-518e-4186-bb6b-b18ee53c7ecf\",\"metricName\":\"revenue\",\"metricDisplayName\":\"display
+        revenue\",\"metricDescription\":\"the revenue\"}],\"dimension\":[{\"dimensionName\":\"category\",\"dimensionDisplayName\":\"display
+        category\"},{\"dimensionName\":\"city\",\"dimensionDisplayName\":\"display
+        city\"}],\"dataStartFrom\":\"2019-10-01T00:00:00Z\",\"dataSourceType\":\"SqlServer\",\"timestampColumn\":\"Timestamp\",\"startOffsetInSeconds\":-1,\"maxQueryPerMinute\":30.0,\"granularityName\":\"Daily\",\"granularityAmount\":null,\"allUpIdentification\":null,\"needRollup\":\"NoRollup\",\"fillMissingPointType\":\"SmartFilling\",\"fillMissingPointValue\":0.0,\"rollUpMethod\":\"None\",\"rollUpColumns\":[],\"dataFeedDescription\":\"my
+        first data feed\",\"stopRetryAfterInSeconds\":-1,\"minRetryIntervalInSeconds\":-1,\"maxConcurrency\":0,\"viewMode\":\"Private\",\"admins\":[\"yournamehere@microsoft.com\",\"f850650c-1fcf-4489-b46f-71af2e30d360\"],\"viewers\":[\"viewers\"],\"creator\":\"f850650c-1fcf-4489-b46f-71af2e30d360\",\"status\":\"Active\",\"createdTime\":\"2020-12-26T19:11:43Z\",\"isAdmin\":true,\"actionLinkTemplate\":\"action
+        link template\",\"dataSourceParameter\":{\"connectionString\":\"connectionstring\",\"query\":\"select\u202F*\u202Ffrom\u202Fadsample2\u202Fwhere\u202FTimestamp\u202F=\u202F@StartTime\"}},{\"dataFeedId\":\"9d85a33d-7de0-411d-aa0f-f1940b7973b6\",\"dataFeedName\":\"test_datafeed_1605050124034\",\"metrics\":[{\"metricId\":\"49205ee4-255c-4c4e-8d8d-d94b87896ff9\",\"metricName\":\"cost\",\"metricDisplayName\":\"cost\",\"metricDescription\":\"Metric2
+        description\"},{\"metricId\":\"590d7610-ae2a-41ab-8504-c509e724afc5\",\"metricName\":\"revenue\",\"metricDisplayName\":\"revenue\",\"metricDescription\":\"Metric1
+        description\"}],\"dimension\":[{\"dimensionName\":\"category\",\"dimensionDisplayName\":\"category
+        display\"},{\"dimensionName\":\"city\",\"dimensionDisplayName\":\"city display\"}],\"dataStartFrom\":\"2020-06-01T00:00:00Z\",\"dataSourceType\":\"SqlServer\",\"timestampColumn\":\"\",\"startOffsetInSeconds\":0,\"maxQueryPerMinute\":30.0,\"granularityName\":\"Daily\",\"granularityAmount\":null,\"allUpIdentification\":\"__CUSTOM_SUM__\",\"needRollup\":\"NeedRollup\",\"fillMissingPointType\":\"SmartFilling\",\"fillMissingPointValue\":0.0,\"rollUpMethod\":\"Sum\",\"rollUpColumns\":[],\"dataFeedDescription\":\"\",\"stopRetryAfterInSeconds\":-1,\"minRetryIntervalInSeconds\":-1,\"maxConcurrency\":-1,\"viewMode\":\"Private\",\"admins\":[\"xyz@example.com\",\"kaghiya@microsoft.com\"],\"viewers\":[],\"creator\":\"kaghiya@microsoft.com\",\"status\":\"Active\",\"createdTime\":\"2020-11-10T23:15:25Z\",\"isAdmin\":true,\"actionLinkTemplate\":\"\",\"dataSourceParameter\":{\"connectionString\":\"connectionstring;\",\"query\":\"select
+        * from adsample2 where Timestamp = @StartTime\"}},{\"dataFeedId\":\"d9bb5d8a-4ade-4b41-a912-a3f82ee93c14\",\"dataFeedName\":\"SqlServerDatafeed\",\"metrics\":[{\"metricId\":\"81582df6-0272-40bf-994d-eb497b74d13b\",\"metricName\":\"cost\",\"metricDisplayName\":\"cost\",\"metricDescription\":\"\"},{\"metricId\":\"507eaf33-3a65-4664-a7d6-5cdcc2dda6ff\",\"metricName\":\"revenue\",\"metricDisplayName\":\"revenue\",\"metricDescription\":\"\"}],\"dimension\":[{\"dimensionName\":\"category\",\"dimensionDisplayName\":\"category\"},{\"dimensionName\":\"city\",\"dimensionDisplayName\":\"city\"}],\"dataStartFrom\":\"2020-08-11T00:00:00Z\",\"dataSourceType\":\"SqlServer\",\"timestampColumn\":\"timestamp\",\"startOffsetInSeconds\":0,\"maxQueryPerMinute\":30.0,\"granularityName\":\"Daily\",\"granularityAmount\":null,\"allUpIdentification\":\"__SUM__\",\"needRollup\":\"NeedRollup\",\"fillMissingPointType\":\"SmartFilling\",\"fillMissingPointValue\":0.0,\"rollUpMethod\":\"Sum\",\"rollUpColumns\":[],\"dataFeedDescription\":\"\",\"stopRetryAfterInSeconds\":-1,\"minRetryIntervalInSeconds\":-1,\"maxConcurrency\":-1,\"viewMode\":\"Private\",\"admins\":[\"anuchan@microsoft.com\",\"chriss@microsoft.com\",\"kaolsze@microsoft.com\",\"johanste@microsoft.com\",\"camaiaor@microsoft.com\",\"yumeng@microsoft.com\",\"krpratic@microsoft.com\",\"elraikhm@microsoft.com\",\"xiangyan@microsoft.com\",\"kaghiya@microsoft.com\",\"savaity@microsoft.com\",\"mayurid@microsoft.com\"],\"viewers\":[],\"creator\":\"savaity@microsoft.com\",\"status\":\"Active\",\"createdTime\":\"2020-10-16T17:35:24Z\",\"isAdmin\":true,\"actionLinkTemplate\":\"\",\"dataSourceParameter\":{\"connectionString\":\"connectionstring;\",\"query\":\"select
+        * from adsample2 where Timestamp = @StartTime\"}},{\"dataFeedId\":\"data_feed_id\",\"dataFeedName\":\"azsqlDatafeed\",\"metrics\":[{\"metricId\":\"metric_id\",\"metricName\":\"cost\",\"metricDisplayName\":\"cost\",\"metricDescription\":\"\"},{\"metricId\":\"a98a72e6-18ab-4dab-bac4-3db605691bca\",\"metricName\":\"revenue\",\"metricDisplayName\":\"revenue\",\"metricDescription\":\"\"}],\"dimension\":[{\"dimensionName\":\"category\",\"dimensionDisplayName\":\"category\"},{\"dimensionName\":\"city\",\"dimensionDisplayName\":\"city\"}],\"dataStartFrom\":\"2020-08-30T00:00:00Z\",\"dataSourceType\":\"SqlServer\",\"timestampColumn\":\"timestamp\",\"startOffsetInSeconds\":0,\"maxQueryPerMinute\":30.0,\"granularityName\":\"Daily\",\"granularityAmount\":null,\"allUpIdentification\":\"__SUM__\",\"needRollup\":\"NeedRollup\",\"fillMissingPointType\":\"SmartFilling\",\"fillMissingPointValue\":0.0,\"rollUpMethod\":\"Sum\",\"rollUpColumns\":[],\"dataFeedDescription\":\"\",\"stopRetryAfterInSeconds\":-1,\"minRetryIntervalInSeconds\":-1,\"maxConcurrency\":-1,\"viewMode\":\"Private\",\"admins\":[\"chriss@microsoft.com\",\"elraikhm@microsoft.com\",\"savaity@microsoft.com\",\"xiangyan@microsoft.com\",\"kaghiya@microsoft.com\",\"yumeng@microsoft.com\",\"krpratic@microsoft.com\",\"camaiaor@microsoft.com\",\"anuchan@microsoft.com\"],\"viewers\":[],\"creator\":\"kaghiya@microsoft.com\",\"status\":\"Active\",\"createdTime\":\"2020-10-05T18:56:43Z\",\"isAdmin\":true,\"actionLinkTemplate\":\"\",\"dataSourceParameter\":{\"connectionString\":\"connectionstring;\",\"query\":\"select
+        * from adsample2 where Timestamp = @StartTime\"}}],\"@nextLink\":null}"
+    headers:
+      apim-request-id:
+      - 8f7d90d1-fb27-466b-aa9a-1033949e33e9
+      content-length:
+      - '6696'
+      content-type:
+      - application/json; charset=utf-8
+      date:
+      - Sat, 26 Dec 2020 19:31:36 GMT
+      strict-transport-security:
+      - max-age=31536000; includeSubDomains; preload
+      x-content-type-options:
+      - nosniff
+      x-envoy-upstream-service-time:
+      - '80'
+      x-request-id:
+      - 8f7d90d1-fb27-466b-aa9a-1033949e33e9
+    status:
+      code: 200
+      message: OK
+version: 1
diff --git a/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_data_feeds_aad.test_list_data_feeds_with_status.yaml b/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_data_feeds_aad.test_list_data_feeds_with_status.yaml
new file mode 100644
index 000000000000..56d21fce50f0
--- /dev/null
+++ b/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_data_feeds_aad.test_list_data_feeds_with_status.yaml
@@ -0,0 +1,38 @@
+interactions:
+- request:
+    body: null
+    headers:
+      Accept:
+      - application/json
+      Accept-Encoding:
+      - gzip, deflate
+      Connection:
+      - keep-alive
+      User-Agent:
+      - azsdk-python-ai-metricsadvisor/1.0.0b3 Python/3.8.6 (Windows-10-10.0.19041-SP0)
+    method: GET
+    uri: https://js-metrics-advisor.cognitiveservices.azure.com/metricsadvisor/v1.0/dataFeeds?status=Paused
+  response:
+    body:
+      string: '{"value":[],"@nextLink":null}'
+    headers:
+      apim-request-id:
+      - dafdfd2f-6b41-4f21-922c-3278b2ac22f0
+      content-length:
+      - '29'
+      content-type:
+      - application/json; charset=utf-8
+      date:
+      - Sat, 26 Dec 2020 19:31:37 GMT
+      strict-transport-security:
+      - max-age=31536000; includeSubDomains; preload
+      x-content-type-options:
+      - nosniff
+      x-envoy-upstream-service-time:
+      - '38'
+      x-request-id:
+      - dafdfd2f-6b41-4f21-922c-3278b2ac22f0
+    status:
+      code: 200
+      message: OK
+version: 1
diff --git a/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_data_feeds_aad.test_update_data_feed_by_reseting_properties.yaml b/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_data_feeds_aad.test_update_data_feed_by_reseting_properties.yaml
new file mode 100644
index 000000000000..e3ba86361ee2
--- /dev/null
+++ b/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_data_feeds_aad.test_update_data_feed_by_reseting_properties.yaml
@@ -0,0 +1,217 @@
+interactions:
+- request:
+    body: '{"dataSourceType": "SqlServer", "dataFeedName": "updaterdjbfiwcgqoyr3bk5d",
+      "dataFeedDescription": "my first data feed", "granularityName": "Daily", "metrics":
+      [{"metricName": "cost", "metricDisplayName": "display cost", "metricDescription":
+      "the cost"}, {"metricName": "revenue", "metricDisplayName": "display revenue",
+      "metricDescription": "the revenue"}], "dimension": [{"dimensionName": "category",
+      "dimensionDisplayName": "display category"}, {"dimensionName": "city", "dimensionDisplayName":
+      "display city"}], "timestampColumn": "Timestamp", "dataStartFrom": "2019-10-01T00:00:00.000Z",
+      "startOffsetInSeconds": -1, "maxConcurrency": 0, "minRetryIntervalInSeconds":
+      -1, "stopRetryAfterInSeconds": -1, "needRollup": "NoRollup", "rollUpMethod":
+      "None", "fillMissingPointType": "SmartFilling", "viewMode": "Private", "admins":
+      ["yournamehere@microsoft.com"], "viewers": ["viewers"], "actionLinkTemplate":
+      "action link template", "dataSourceParameter": {"connectionString": "connectionstring",
+      "query": "select\u202f*\u202ffrom\u202fadsample2\u202fwhere\u202fTimestamp\u202f=\u202f@StartTime"}}'
+    headers:
+      Accept:
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new file mode 100644
index 000000000000..0a4c2af25aec
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new file mode 100644
index 000000000000..5a4ced304f17
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diff --git a/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_detection_config.test_create_ad_config_whole_series_detection.yaml b/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_detection_config.test_create_ad_config_whole_series_detection.yaml
index 396157bf99e7..018e19b7ee9f 100644
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index 6bc156d4aeb7..7e4bf3528fbb 100644
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new file mode 100644
index 000000000000..d9b797225cdb
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index 0954d446825e..3283def7a983 100644
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+++ b/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_hooks.test_create_email_hook.yaml
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index f365cc2d7552..98b541312b61 100644
--- a/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_hooks.test_create_web_hook.yaml
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index 04ec659d41b0..0642bc8f0e9c 100644
--- a/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_hooks.test_list_hooks.yaml
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diff --git a/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_hooks.test_update_email_hook_by_resetting_properties.yaml b/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_hooks.test_update_email_hook_by_resetting_properties.yaml
index 61b0389516ff..11fd81b94e03 100644
--- a/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_hooks.test_update_email_hook_by_resetting_properties.yaml
+++ b/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_hooks.test_update_email_hook_by_resetting_properties.yaml
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index d762ec07d42e..6d79cc0bdfa3 100644
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+    uri: https://js-metrics-advisor.cognitiveservices.azure.com/metricsadvisor/v1.0/hooks/7a887c9f-e4ff-4bbb-81d3-f286b5e24268
   response:
     body:
       string: ''
     headers:
       apim-request-id:
-      - 1927d8cd-ae64-406b-a230-572ccf5b2cd6
+      - ed1490a7-e15c-4a1c-819c-3c5b7c415aca
       content-length:
       - '0'
       date:
-      - Mon, 26 Oct 2020 17:36:56 GMT
+      - Sat, 26 Dec 2020 19:33:01 GMT
       strict-transport-security:
       - max-age=31536000; includeSubDomains; preload
       x-content-type-options:
       - nosniff
       x-envoy-upstream-service-time:
-      - '5296'
+      - '232'
       x-request-id:
-      - 1927d8cd-ae64-406b-a230-572ccf5b2cd6
+      - ed1490a7-e15c-4a1c-819c-3c5b7c415aca
     status:
       code: 204
       message: No Content
diff --git a/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_hooks_aad.test_create_email_hook.yaml b/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_hooks_aad.test_create_email_hook.yaml
new file mode 100644
index 000000000000..4655c6db0714
--- /dev/null
+++ b/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_hooks_aad.test_create_email_hook.yaml
@@ -0,0 +1,153 @@
+interactions:
+- request:
+    body: '{"hookType": "Email", "hookName": "testemailhook1dfb0f01", "description":
+      "my email hook", "externalLink": "external link", "hookParameter": {"toList":
+      ["yournamehere@microsoft.com"]}}'
+    headers:
+      Accept:
+      - application/json
+      Accept-Encoding:
+      - gzip, deflate
+      Connection:
+      - keep-alive
+      Content-Length:
+      - '184'
+      Content-Type:
+      - application/json
+      User-Agent:
+      - azsdk-python-ai-metricsadvisor/1.0.0b3 Python/3.8.6 (Windows-10-10.0.19041-SP0)
+    method: POST
+    uri: https://js-metrics-advisor.cognitiveservices.azure.com/metricsadvisor/v1.0/hooks
+  response:
+    body:
+      string: ''
+    headers:
+      apim-request-id:
+      - 100e6c6a-88ac-4df0-b1f8-8bba5d24dec0
+      content-length:
+      - '0'
+      date:
+      - Sat, 26 Dec 2020 19:33:02 GMT
+      location:
+      - https://js-metrics-advisor.cognitiveservices.azure.com/metricsadvisor/v1.0/hooks/a916f37b-1a97-4d27-9bb2-3e225dfe310d
+      strict-transport-security:
+      - max-age=31536000; includeSubDomains; preload
+      x-content-type-options:
+      - nosniff
+      x-envoy-upstream-service-time:
+      - '707'
+      x-request-id:
+      - 100e6c6a-88ac-4df0-b1f8-8bba5d24dec0
+    status:
+      code: 201
+      message: Created
+- request:
+    body: null
+    headers:
+      Accept:
+      - application/json
+      Accept-Encoding:
+      - gzip, deflate
+      Connection:
+      - keep-alive
+      User-Agent:
+      - azsdk-python-ai-metricsadvisor/1.0.0b3 Python/3.8.6 (Windows-10-10.0.19041-SP0)
+    method: GET
+    uri: https://js-metrics-advisor.cognitiveservices.azure.com/metricsadvisor/v1.0/hooks/a916f37b-1a97-4d27-9bb2-3e225dfe310d
+  response:
+    body:
+      string: '{"hookId":"a916f37b-1a97-4d27-9bb2-3e225dfe310d","hookName":"testemailhook1dfb0f01","hookType":"Email","externalLink":"external
+        link","description":"my email hook","admins":["f850650c-1fcf-4489-b46f-71af2e30d360"],"hookParameter":{"toList":["yournamehere@microsoft.com"]}}'
+    headers:
+      apim-request-id:
+      - 6170d57d-0802-4ab2-9424-584413fe9c4c
+      content-length:
+      - '272'
+      content-type:
+      - application/json; charset=utf-8
+      date:
+      - Sat, 26 Dec 2020 19:33:03 GMT
+      strict-transport-security:
+      - max-age=31536000; includeSubDomains; preload
+      x-content-type-options:
+      - nosniff
+      x-envoy-upstream-service-time:
+      - '298'
+      x-request-id:
+      - 6170d57d-0802-4ab2-9424-584413fe9c4c
+    status:
+      code: 200
+      message: OK
+- request:
+    body: null
+    headers:
+      Accept:
+      - application/json
+      Accept-Encoding:
+      - gzip, deflate
+      Connection:
+      - keep-alive
+      Content-Length:
+      - '0'
+      User-Agent:
+      - azsdk-python-ai-metricsadvisor/1.0.0b3 Python/3.8.6 (Windows-10-10.0.19041-SP0)
+    method: DELETE
+    uri: https://js-metrics-advisor.cognitiveservices.azure.com/metricsadvisor/v1.0/hooks/a916f37b-1a97-4d27-9bb2-3e225dfe310d
+  response:
+    body:
+      string: ''
+    headers:
+      apim-request-id:
+      - 2babc473-e0e3-44f8-8827-6bd5e3737e22
+      content-length:
+      - '0'
+      date:
+      - Sat, 26 Dec 2020 19:33:03 GMT
+      strict-transport-security:
+      - max-age=31536000; includeSubDomains; preload
+      x-content-type-options:
+      - nosniff
+      x-envoy-upstream-service-time:
+      - '761'
+      x-request-id:
+      - 2babc473-e0e3-44f8-8827-6bd5e3737e22
+    status:
+      code: 204
+      message: No Content
+- request:
+    body: null
+    headers:
+      Accept:
+      - application/json
+      Accept-Encoding:
+      - gzip, deflate
+      Connection:
+      - keep-alive
+      User-Agent:
+      - azsdk-python-ai-metricsadvisor/1.0.0b3 Python/3.8.6 (Windows-10-10.0.19041-SP0)
+    method: GET
+    uri: https://js-metrics-advisor.cognitiveservices.azure.com/metricsadvisor/v1.0/hooks/a916f37b-1a97-4d27-9bb2-3e225dfe310d
+  response:
+    body:
+      string: '{"code":"ERROR_INVALID_PARAMETER","message":"hookId is invalid."}'
+    headers:
+      apim-request-id:
+      - 82075551-a3d3-4b98-8b3e-0c7c196975e1
+      content-length:
+      - '65'
+      content-type:
+      - application/json; charset=utf-8
+      date:
+      - Sat, 26 Dec 2020 19:33:04 GMT
+      strict-transport-security:
+      - max-age=31536000; includeSubDomains; preload
+      x-content-type-options:
+      - nosniff
+      x-envoy-upstream-service-time:
+      - '215'
+      x-request-id:
+      - 82075551-a3d3-4b98-8b3e-0c7c196975e1
+    status:
+      code: 404
+      message: Not Found
+version: 1
diff --git a/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_hooks_aad.test_create_web_hook.yaml b/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_hooks_aad.test_create_web_hook.yaml
new file mode 100644
index 000000000000..1dac723dce0d
--- /dev/null
+++ b/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_hooks_aad.test_create_web_hook.yaml
@@ -0,0 +1,153 @@
+interactions:
+- request:
+    body: '{"hookType": "Webhook", "hookName": "testwebhookba0e37", "description":
+      "my web hook", "externalLink": "external link", "hookParameter": {"endpoint":
+      "https://httpbin.org/post"}}'
+    headers:
+      Accept:
+      - application/json
+      Accept-Encoding:
+      - gzip, deflate
+      Connection:
+      - keep-alive
+      Content-Length:
+      - '178'
+      Content-Type:
+      - application/json
+      User-Agent:
+      - azsdk-python-ai-metricsadvisor/1.0.0b3 Python/3.8.6 (Windows-10-10.0.19041-SP0)
+    method: POST
+    uri: https://js-metrics-advisor.cognitiveservices.azure.com/metricsadvisor/v1.0/hooks
+  response:
+    body:
+      string: ''
+    headers:
+      apim-request-id:
+      - 69420b9a-0434-406c-9d84-d2f07019353e
+      content-length:
+      - '0'
+      date:
+      - Sat, 26 Dec 2020 19:33:06 GMT
+      location:
+      - https://js-metrics-advisor.cognitiveservices.azure.com/metricsadvisor/v1.0/hooks/6baf48d3-e39e-489a-9054-3648cfaba5fc
+      strict-transport-security:
+      - max-age=31536000; includeSubDomains; preload
+      x-content-type-options:
+      - nosniff
+      x-envoy-upstream-service-time:
+      - '626'
+      x-request-id:
+      - 69420b9a-0434-406c-9d84-d2f07019353e
+    status:
+      code: 201
+      message: Created
+- request:
+    body: null
+    headers:
+      Accept:
+      - application/json
+      Accept-Encoding:
+      - gzip, deflate
+      Connection:
+      - keep-alive
+      User-Agent:
+      - azsdk-python-ai-metricsadvisor/1.0.0b3 Python/3.8.6 (Windows-10-10.0.19041-SP0)
+    method: GET
+    uri: https://js-metrics-advisor.cognitiveservices.azure.com/metricsadvisor/v1.0/hooks/6baf48d3-e39e-489a-9054-3648cfaba5fc
+  response:
+    body:
+      string: '{"hookId":"6baf48d3-e39e-489a-9054-3648cfaba5fc","hookName":"testwebhookba0e37","hookType":"Webhook","externalLink":"external
+        link","description":"my web hook","admins":["f850650c-1fcf-4489-b46f-71af2e30d360"],"hookParameter":{"endpoint":"https://httpbin.org/post","username":"","password":"","headers":{},"certificateKey":"","certificatePassword":""}}'
+    headers:
+      apim-request-id:
+      - a14a2616-b753-4961-957d-08afc7602deb
+      content-length:
+      - '352'
+      content-type:
+      - application/json; charset=utf-8
+      date:
+      - Sat, 26 Dec 2020 19:33:06 GMT
+      strict-transport-security:
+      - max-age=31536000; includeSubDomains; preload
+      x-content-type-options:
+      - nosniff
+      x-envoy-upstream-service-time:
+      - '101'
+      x-request-id:
+      - a14a2616-b753-4961-957d-08afc7602deb
+    status:
+      code: 200
+      message: OK
+- request:
+    body: null
+    headers:
+      Accept:
+      - application/json
+      Accept-Encoding:
+      - gzip, deflate
+      Connection:
+      - keep-alive
+      Content-Length:
+      - '0'
+      User-Agent:
+      - azsdk-python-ai-metricsadvisor/1.0.0b3 Python/3.8.6 (Windows-10-10.0.19041-SP0)
+    method: DELETE
+    uri: https://js-metrics-advisor.cognitiveservices.azure.com/metricsadvisor/v1.0/hooks/6baf48d3-e39e-489a-9054-3648cfaba5fc
+  response:
+    body:
+      string: ''
+    headers:
+      apim-request-id:
+      - fa231b8a-2d45-4d80-bd3d-c7639a18b15f
+      content-length:
+      - '0'
+      date:
+      - Sat, 26 Dec 2020 19:33:06 GMT
+      strict-transport-security:
+      - max-age=31536000; includeSubDomains; preload
+      x-content-type-options:
+      - nosniff
+      x-envoy-upstream-service-time:
+      - '147'
+      x-request-id:
+      - fa231b8a-2d45-4d80-bd3d-c7639a18b15f
+    status:
+      code: 204
+      message: No Content
+- request:
+    body: null
+    headers:
+      Accept:
+      - application/json
+      Accept-Encoding:
+      - gzip, deflate
+      Connection:
+      - keep-alive
+      User-Agent:
+      - azsdk-python-ai-metricsadvisor/1.0.0b3 Python/3.8.6 (Windows-10-10.0.19041-SP0)
+    method: GET
+    uri: https://js-metrics-advisor.cognitiveservices.azure.com/metricsadvisor/v1.0/hooks/6baf48d3-e39e-489a-9054-3648cfaba5fc
+  response:
+    body:
+      string: '{"code":"ERROR_INVALID_PARAMETER","message":"hookId is invalid."}'
+    headers:
+      apim-request-id:
+      - a87a479d-a837-4d5e-9ba4-2d22e63e5ba8
+      content-length:
+      - '65'
+      content-type:
+      - application/json; charset=utf-8
+      date:
+      - Sat, 26 Dec 2020 19:33:06 GMT
+      strict-transport-security:
+      - max-age=31536000; includeSubDomains; preload
+      x-content-type-options:
+      - nosniff
+      x-envoy-upstream-service-time:
+      - '15'
+      x-request-id:
+      - a87a479d-a837-4d5e-9ba4-2d22e63e5ba8
+    status:
+      code: 404
+      message: Not Found
+version: 1
diff --git a/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_hooks_aad.test_list_hooks.yaml b/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_hooks_aad.test_list_hooks.yaml
new file mode 100644
index 000000000000..d98ff8068ef0
--- /dev/null
+++ b/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_hooks_aad.test_list_hooks.yaml
@@ -0,0 +1,42 @@
+interactions:
+- request:
+    body: null
+    headers:
+      Accept:
+      - application/json
+      Accept-Encoding:
+      - gzip, deflate
+      Connection:
+      - keep-alive
+      User-Agent:
+      - azsdk-python-ai-metricsadvisor/1.0.0b3 Python/3.8.6 (Windows-10-10.0.19041-SP0)
+    method: GET
+    uri: https://js-metrics-advisor.cognitiveservices.azure.com/metricsadvisor/v1.0/hooks
+  response:
+    body:
+      string: '{"value":[{"hookId":"65fa0aa4-9b71-451c-a04c-cc74cb413ad7","hookName":"myhook","hookType":"Email","externalLink":"external
+        link","description":"","admins":["krpratic@microsoft.com"],"hookParameter":{"toList":["krista.pratico@gmail.com"]}},{"hookId":"793adcdb-5293-4e4a-a60c-7c32cd5829fc","hookName":"java
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+        hook 1605051797006","hookType":"Webhook","externalLink":"","description":"description","admins":["kaghiya@microsoft.com"],"hookParameter":{"endpoint":"https://httpbin.org/post","username":"username","password":"password","headers":{},"certificateKey":"","certificatePassword":""}},{"hookId":"9a480f06-b0c4-40b3-9c81-8e0b597254ae","hookName":"test","hookType":"Webhook","externalLink":"","description":"","admins":["xiangyan@microsoft.com"],"hookParameter":{"endpoint":"https://httpbin.org/post","username":"myusername","password":"","headers":{},"certificateKey":"","certificatePassword":""}}],"@nextLink":null}'
+    headers:
+      apim-request-id:
+      - 4c98edd8-19d6-4101-b458-72daa39cc7c8
+      content-length:
+      - '4471'
+      content-type:
+      - application/json; charset=utf-8
+      date:
+      - Sat, 26 Dec 2020 19:33:07 GMT
+      strict-transport-security:
+      - max-age=31536000; includeSubDomains; preload
+      x-content-type-options:
+      - nosniff
+      x-envoy-upstream-service-time:
+      - '42'
+      x-request-id:
+      - 4c98edd8-19d6-4101-b458-72daa39cc7c8
+    status:
+      code: 200
+      message: OK
+version: 1
diff --git a/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_hooks_aad.test_update_email_hook_by_resetting_properties.yaml b/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_hooks_aad.test_update_email_hook_by_resetting_properties.yaml
new file mode 100644
index 000000000000..3486a7844bf9
--- /dev/null
+++ b/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_hooks_aad.test_update_email_hook_by_resetting_properties.yaml
@@ -0,0 +1,191 @@
+interactions:
+- request:
+    body: '{"hookType": "Email", "hookName": "testhook5c8192a", "description": "my
+      email hook", "externalLink": "external link", "hookParameter": {"toList": ["yournamehere@microsoft.com"]}}'
+    headers:
+      Accept:
+      - application/json
+      Accept-Encoding:
+      - gzip, deflate
+      Connection:
+      - keep-alive
+      Content-Length:
+      - '178'
+      Content-Type:
+      - application/json
+      User-Agent:
+      - azsdk-python-ai-metricsadvisor/1.0.0b3 Python/3.8.6 (Windows-10-10.0.19041-SP0)
+    method: POST
+    uri: https://js-metrics-advisor.cognitiveservices.azure.com/metricsadvisor/v1.0/hooks
+  response:
+    body:
+      string: ''
+    headers:
+      apim-request-id:
+      - 3fdc9859-87c3-4367-8a3b-ca1b7e26dd6e
+      content-length:
+      - '0'
+      date:
+      - Sat, 26 Dec 2020 19:33:08 GMT
+      location:
+      - https://js-metrics-advisor.cognitiveservices.azure.com/metricsadvisor/v1.0/hooks/a192427b-c089-4c11-baf1-65c215f7cedc
+      strict-transport-security:
+      - max-age=31536000; includeSubDomains; preload
+      x-content-type-options:
+      - nosniff
+      x-envoy-upstream-service-time:
+      - '254'
+      x-request-id:
+      - 3fdc9859-87c3-4367-8a3b-ca1b7e26dd6e
+    status:
+      code: 201
+      message: Created
+- request:
+    body: null
+    headers:
+      Accept:
+      - application/json
+      Accept-Encoding:
+      - gzip, deflate
+      Connection:
+      - keep-alive
+      User-Agent:
+      - azsdk-python-ai-metricsadvisor/1.0.0b3 Python/3.8.6 (Windows-10-10.0.19041-SP0)
+    method: GET
+    uri: https://js-metrics-advisor.cognitiveservices.azure.com/metricsadvisor/v1.0/hooks/a192427b-c089-4c11-baf1-65c215f7cedc
+  response:
+    body:
+      string: '{"hookId":"a192427b-c089-4c11-baf1-65c215f7cedc","hookName":"testhook5c8192a","hookType":"Email","externalLink":"external
+        link","description":"my email hook","admins":["f850650c-1fcf-4489-b46f-71af2e30d360"],"hookParameter":{"toList":["yournamehere@microsoft.com"]}}'
+    headers:
+      apim-request-id:
+      - 66165ec3-256a-467e-acfb-a1d9cc2cb537
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new file mode 100644
index 000000000000..155ebb8a583d
--- /dev/null
+++ b/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_hooks_aad.test_update_email_hook_with_kwargs.yaml
@@ -0,0 +1,191 @@
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diff --git a/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_hooks_aad.test_update_email_hook_with_model.yaml b/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_hooks_aad.test_update_email_hook_with_model.yaml
new file mode 100644
index 000000000000..f39f97d69387
--- /dev/null
+++ b/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_hooks_aad.test_update_email_hook_with_model.yaml
@@ -0,0 +1,192 @@
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new file mode 100644
index 000000000000..17717cbd13b3
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+++ b/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_hooks_aad.test_update_email_hook_with_model_and_kwargs.yaml
@@ -0,0 +1,191 @@
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diff --git a/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_hooks_aad.test_update_web_hook_by_resetting_properties.yaml b/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_hooks_aad.test_update_web_hook_by_resetting_properties.yaml
new file mode 100644
index 000000000000..a03ab97c93c9
--- /dev/null
+++ b/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_hooks_aad.test_update_web_hook_by_resetting_properties.yaml
@@ -0,0 +1,194 @@
+interactions:
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+    uri: https://js-metrics-advisor.cognitiveservices.azure.com/metricsadvisor/v1.0/hooks
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diff --git a/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_hooks_aad.test_update_web_hook_with_kwargs.yaml b/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_hooks_aad.test_update_web_hook_with_kwargs.yaml
new file mode 100644
index 000000000000..2e31348e0427
--- /dev/null
+++ b/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_hooks_aad.test_update_web_hook_with_kwargs.yaml
@@ -0,0 +1,193 @@
+interactions:
+- request:
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+    uri: https://js-metrics-advisor.cognitiveservices.azure.com/metricsadvisor/v1.0/hooks
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+      content-length:
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diff --git a/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_hooks_aad.test_update_web_hook_with_model.yaml b/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_hooks_aad.test_update_web_hook_with_model.yaml
new file mode 100644
index 000000000000..b4a415ab808c
--- /dev/null
+++ b/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_hooks_aad.test_update_web_hook_with_model.yaml
@@ -0,0 +1,194 @@
+interactions:
+- request:
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new file mode 100644
index 000000000000..fdf01e6dc5cf
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+++ b/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_hooks_aad.test_update_web_hook_with_model_and_kwargs.yaml
@@ -0,0 +1,194 @@
+interactions:
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diff --git a/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_metrics_advisor_client_aad_live.test_add_anomaly_feedback.yaml b/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_metrics_advisor_client_aad_live.test_add_anomaly_feedback.yaml
new file mode 100644
index 000000000000..19b15d120b03
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+++ b/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_metrics_advisor_client_aad_live.test_add_anomaly_feedback.yaml
@@ -0,0 +1,44 @@
+interactions:
+- request:
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diff --git a/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_metrics_advisor_client_aad_live.test_add_change_point_feedback.yaml b/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_metrics_advisor_client_aad_live.test_add_change_point_feedback.yaml
new file mode 100644
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+++ b/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_metrics_advisor_client_aad_live.test_add_change_point_feedback.yaml
@@ -0,0 +1,44 @@
+interactions:
+- request:
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diff --git a/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_metrics_advisor_client_aad_live.test_add_comment_feedback.yaml b/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_metrics_advisor_client_aad_live.test_add_comment_feedback.yaml
new file mode 100644
index 000000000000..ee691c77d614
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+++ b/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_metrics_advisor_client_aad_live.test_add_comment_feedback.yaml
@@ -0,0 +1,44 @@
+interactions:
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diff --git a/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_metrics_advisor_client_aad_live.test_add_period_feedback.yaml b/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_metrics_advisor_client_aad_live.test_add_period_feedback.yaml
new file mode 100644
index 000000000000..6664174206b6
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@@ -0,0 +1,44 @@
+interactions:
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new file mode 100644
index 000000000000..b31bccdbf6e8
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+    headers:
+      apim-request-id:
+      - 8308f5cb-5664-4420-9757-e7213adf5214
+      content-length:
+      - '2399'
+      content-type:
+      - application/json; charset=utf-8
+      date:
+      - Sat, 26 Dec 2020 19:34:38 GMT
+      strict-transport-security:
+      - max-age=31536000; includeSubDomains; preload
+      x-content-type-options:
+      - nosniff
+      x-envoy-upstream-service-time:
+      - '105'
+      x-request-id:
+      - 8308f5cb-5664-4420-9757-e7213adf5214
+    status:
+      code: 200
+      message: OK
+- request:
+    body: '{"activeSince": "2020-01-01T00:00:00.000Z"}'
+    headers:
+      Accept:
+      - application/json
+      Accept-Encoding:
+      - gzip, deflate
+      Connection:
+      - keep-alive
+      Content-Length:
+      - '43'
+      Content-Type:
+      - application/json
+      User-Agent:
+      - azsdk-python-ai-metricsadvisor/1.0.0b3 Python/3.8.6 (Windows-10-10.0.19041-SP0)
+    method: POST
+    uri: https://js-metrics-advisor.cognitiveservices.azure.com/metricsadvisor/v1.0/metrics/metric_id/series/query?$top=20&$skip=1340
+  response:
+    body:
+      string: '{"value":[{"metricId":"metric_id","dimension":{"dimension_name":"Bengaluru","category":"Personal
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+        & Accessories"}},{"metricId":"metric_id","dimension":{"dimension_name":"Cairo","category":"Fine
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+        Accessories"}},{"metricId":"metric_id","dimension":{"dimension_name":"Taipei","category":"Baby
+        Products (Excluding Apparel)"}},{"metricId":"metric_id","dimension":{"dimension_name":"Brasilia","category":"Shoes
+        Handbags & Sunglasses"}},{"metricId":"metric_id","dimension":{"dimension_name":"Manila","category":"Sports"}},{"metricId":"metric_id","dimension":{"dimension_name":"Hyderabad","category":"Personal
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+        Products (Excluding Apparel)"}},{"metricId":"metric_id","dimension":{"dimension_name":"Phoenix","category":"__SUM__"}},{"metricId":"metric_id","dimension":{"dimension_name":"Bogota","category":"Clothing
+        & Accessories"}},{"metricId":"metric_id","dimension":{"dimension_name":"Bogota","category":"Personal
+        Computers"}},{"metricId":"metric_id","dimension":{"dimension_name":"Manila","category":"Baby
+        Products (Excluding Apparel)"}},{"metricId":"metric_id","dimension":{"dimension_name":"Hanoi","category":"__SUM__"}},{"metricId":"metric_id","dimension":{"dimension_name":"Xi''an","category":"__SUM__"}},{"metricId":"metric_id","dimension":{"dimension_name":"Melbourne","category":"__SUM__"}}],"@nextLink":"https://js-metrics-advisor.cognitiveservices.azure.com:443/metricsadvisor/v1.0/metrics/metric_id/series/query?$top=20&$skip=1360"}'
+    headers:
+      apim-request-id:
+      - b77681b7-9521-4d6c-a4a4-cced5e4e7752
+      content-length:
+      - '2462'
+      content-type:
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+      date:
+      - Sat, 26 Dec 2020 19:34:38 GMT
+      strict-transport-security:
+      - max-age=31536000; includeSubDomains; preload
+      x-content-type-options:
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+      x-envoy-upstream-service-time:
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+      x-request-id:
+      - b77681b7-9521-4d6c-a4a4-cced5e4e7752
+    status:
+      code: 200
+      message: OK
+- request:
+    body: '{"activeSince": "2020-01-01T00:00:00.000Z"}'
+    headers:
+      Accept:
+      - application/json
+      Accept-Encoding:
+      - gzip, deflate
+      Connection:
+      - keep-alive
+      Content-Length:
+      - '43'
+      Content-Type:
+      - application/json
+      User-Agent:
+      - azsdk-python-ai-metricsadvisor/1.0.0b3 Python/3.8.6 (Windows-10-10.0.19041-SP0)
+    method: POST
+    uri: https://js-metrics-advisor.cognitiveservices.azure.com/metricsadvisor/v1.0/metrics/metric_id/series/query?$top=20&$skip=1360
+  response:
+    body:
+      string: '{"value":[{"metricId":"metric_id","dimension":{"dimension_name":"Kolkata","category":"Clothing
+        & Accessories"}},{"metricId":"metric_id","dimension":{"dimension_name":"Moscow","category":"Personal
+        Computers"}},{"metricId":"metric_id","dimension":{"dimension_name":"Miami","category":"Clothing
+        & Accessories"}},{"metricId":"metric_id","dimension":{"dimension_name":"Los
+        Angeles","category":"Fine Art"}},{"metricId":"metric_id","dimension":{"dimension_name":"Wuhan","category":"Fine
+        Art"}},{"metricId":"metric_id","dimension":{"dimension_name":"Shenzhen","category":"Clothing
+        & Accessories"}},{"metricId":"metric_id","dimension":{"dimension_name":"Seoul","category":"Sports"}},{"metricId":"metric_id","dimension":{"dimension_name":"Rangoon","category":"Outdoors"}},{"metricId":"metric_id","dimension":{"dimension_name":"Jakarta","category":"Fine
+        Art"}},{"metricId":"metric_id","dimension":{"dimension_name":"Chennai","category":"Fine
+        Art"}},{"metricId":"metric_id","dimension":{"dimension_name":"Chongqing","category":"Device
+        Accessories"}},{"metricId":"metric_id","dimension":{"dimension_name":"Mumbai","category":"Sports
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+        de Janeiro","category":"Fine Art"}},{"metricId":"metric_id","dimension":{"dimension_name":"Cairo","category":"Sports"}}],"@nextLink":"https://js-metrics-advisor.cognitiveservices.azure.com:443/metricsadvisor/v1.0/metrics/metric_id/series/query?$top=20&$skip=1380"}'
+    headers:
+      apim-request-id:
+      - 025adc55-12d5-4362-856c-2fcdd58d046c
+      content-length:
+      - '2397'
+      content-type:
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+      date:
+      - Sat, 26 Dec 2020 19:34:38 GMT
+      strict-transport-security:
+      - max-age=31536000; includeSubDomains; preload
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+      x-envoy-upstream-service-time:
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+      x-request-id:
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+    status:
+      code: 200
+      message: OK
+- request:
+    body: '{"activeSince": "2020-01-01T00:00:00.000Z"}'
+    headers:
+      Accept:
+      - application/json
+      Accept-Encoding:
+      - gzip, deflate
+      Connection:
+      - keep-alive
+      Content-Length:
+      - '43'
+      Content-Type:
+      - application/json
+      User-Agent:
+      - azsdk-python-ai-metricsadvisor/1.0.0b3 Python/3.8.6 (Windows-10-10.0.19041-SP0)
+    method: POST
+    uri: https://js-metrics-advisor.cognitiveservices.azure.com/metricsadvisor/v1.0/metrics/metric_id/series/query?$top=20&$skip=1380
+  response:
+    body:
+      string: '{"value":[{"metricId":"metric_id","dimension":{"dimension_name":"New
+        York","category":"Baby Products (Excluding Apparel)"}},{"metricId":"metric_id","dimension":{"dimension_name":"Yokohama","category":"Shoes
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+        Kong","category":"Baby Products (Excluding Apparel)"}},{"metricId":"metric_id","dimension":{"dimension_name":"Dhaka","category":"Baby
+        Products (Excluding Apparel)"}},{"metricId":"metric_id","dimension":{"dimension_name":"Mexico
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+        Products (Excluding Apparel)"}},{"metricId":"metric_id","dimension":{"dimension_name":"Madrid","category":"Sports"}},{"metricId":"metric_id","dimension":{"dimension_name":"Tokyo","category":"Baby
+        Products (Excluding Apparel)"}},{"metricId":"metric_id","dimension":{"dimension_name":"Madrid","category":"Clothing
+        & Accessories"}},{"metricId":"metric_id","dimension":{"dimension_name":"Hong
+        Kong","category":"Fine Art"}},{"metricId":"metric_id","dimension":{"dimension_name":"Dhaka","category":"Luggage
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+        Collectibles"}},{"metricId":"metric_id","dimension":{"dimension_name":"Houston","category":"Sports
+        Collectibles"}},{"metricId":"metric_id","dimension":{"dimension_name":"Tehran","category":"Luggage
+        & Travel Accessories"}},{"metricId":"metric_id","dimension":{"dimension_name":"Hong
+        Kong","category":"Luggage & Travel Accessories"}},{"metricId":"metric_id","dimension":{"dimension_name":"Santiago","category":"Luggage
+        & Travel Accessories"}},{"metricId":"metric_id","dimension":{"dimension_name":"Lima","category":"Luggage
+        & Travel Accessories"}}],"@nextLink":"https://js-metrics-advisor.cognitiveservices.azure.com:443/metricsadvisor/v1.0/metrics/metric_id/series/query?$top=20&$skip=1400"}'
+    headers:
+      apim-request-id:
+      - 57e52a71-0f10-46c9-b501-8bfcd240aee8
+      content-length:
+      - '2608'
+      content-type:
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+      date:
+      - Sat, 26 Dec 2020 19:34:38 GMT
+      strict-transport-security:
+      - max-age=31536000; includeSubDomains; preload
+      x-content-type-options:
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+      x-envoy-upstream-service-time:
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+      x-request-id:
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+    status:
+      code: 200
+      message: OK
+- request:
+    body: '{"activeSince": "2020-01-01T00:00:00.000Z"}'
+    headers:
+      Accept:
+      - application/json
+      Accept-Encoding:
+      - gzip, deflate
+      Connection:
+      - keep-alive
+      Content-Length:
+      - '43'
+      Content-Type:
+      - application/json
+      User-Agent:
+      - azsdk-python-ai-metricsadvisor/1.0.0b3 Python/3.8.6 (Windows-10-10.0.19041-SP0)
+    method: POST
+    uri: https://js-metrics-advisor.cognitiveservices.azure.com/metricsadvisor/v1.0/metrics/metric_id/series/query?$top=20&$skip=1400
+  response:
+    body:
+      string: '{"value":[{"metricId":"metric_id","dimension":{"dimension_name":"Tianjin","category":"Sports
+        Collectibles"}},{"metricId":"metric_id","dimension":{"dimension_name":"Belo
+        Horizonte","category":"Sports Collectibles"}},{"metricId":"metric_id","dimension":{"dimension_name":"Monterrey","category":"__SUM__"}},{"metricId":"metric_id","dimension":{"dimension_name":"Wuhan","category":"Baby
+        Products (Excluding Apparel)"}},{"metricId":"metric_id","dimension":{"dimension_name":"Ankara","category":"__SUM__"}}],"@nextLink":null}'
+    headers:
+      apim-request-id:
+      - bf7b3ab2-432c-4d52-951f-e7af48340fac
+      content-length:
+      - '604'
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+      date:
+      - Sat, 26 Dec 2020 19:34:38 GMT
+      strict-transport-security:
+      - max-age=31536000; includeSubDomains; preload
+      x-content-type-options:
+      - nosniff
+      x-envoy-upstream-service-time:
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+      x-request-id:
+      - bf7b3ab2-432c-4d52-951f-e7af48340fac
+    status:
+      code: 200
+      message: OK
+version: 1
diff --git a/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_metrics_advisor_client_aad_live.test_list_metrics_series_data.yaml b/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_metrics_advisor_client_aad_live.test_list_metrics_series_data.yaml
new file mode 100644
index 000000000000..375fa5065622
--- /dev/null
+++ b/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_metrics_advisor_client_aad_live.test_list_metrics_series_data.yaml
@@ -0,0 +1,44 @@
+interactions:
+- request:
+    body: '{"startTime": "2020-01-01T00:00:00.000Z", "endTime": "2020-10-21T00:00:00.000Z",
+      "series": [{"dimension_name": "Los Angeles", "category": "Homemade"}]}'
+    headers:
+      Accept:
+      - application/json
+      Accept-Encoding:
+      - gzip, deflate
+      Connection:
+      - keep-alive
+      Content-Length:
+      - '141'
+      Content-Type:
+      - application/json
+      User-Agent:
+      - azsdk-python-ai-metricsadvisor/1.0.0b3 Python/3.8.6 (Windows-10-10.0.19041-SP0)
+    method: POST
+    uri: https://js-metrics-advisor.cognitiveservices.azure.com/metricsadvisor/v1.0/metrics/metric_id/data/query
+  response:
+    body:
+      string: '{"value":[{"id":{"metricId":"metric_id","dimension":{"dimension_name":"Los
+        Angeles","category":"Homemade"}},"timestampList":[],"valueList":[]}]}'
+    headers:
+      apim-request-id:
+      - e303a63b-13eb-4587-bf29-2228b73141ba
+      content-length:
+      - '161'
+      content-type:
+      - application/json; charset=utf-8
+      date:
+      - Sat, 26 Dec 2020 19:34:40 GMT
+      strict-transport-security:
+      - max-age=31536000; includeSubDomains; preload
+      x-content-type-options:
+      - nosniff
+      x-envoy-upstream-service-time:
+      - '375'
+      x-request-id:
+      - e303a63b-13eb-4587-bf29-2228b73141ba
+    status:
+      code: 200
+      message: OK
+version: 1
diff --git a/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_metrics_advisor_client_live.test_add_anomaly_feedback.yaml b/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_metrics_advisor_client_live.test_add_anomaly_feedback.yaml
index 7f725894cc6e..c3cdf88e99fb 100644
--- a/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_metrics_advisor_client_live.test_add_anomaly_feedback.yaml
+++ b/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_metrics_advisor_client_live.test_add_anomaly_feedback.yaml
@@ -15,7 +15,7 @@ interactions:
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       - application/json
       User-Agent:
-      - azsdk-python-ai-metricsadvisor/1.0.0b2 Python/3.8.5 (Windows-10-10.0.19041-SP0)
+      - azsdk-python-ai-metricsadvisor/1.0.0b3 Python/3.8.6 (Windows-10-10.0.19041-SP0)
     method: POST
     uri: https://js-metrics-advisor.cognitiveservices.azure.com/metricsadvisor/v1.0/feedback/metric
   response:
@@ -23,21 +23,21 @@ interactions:
       string: ''
     headers:
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-      - d39d3ce2-96b8-4afd-9dc8-2e4fb0be0282
+      - 69279e2b-7424-4de2-93fc-63beb6479341
       content-length:
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       date:
-      - Mon, 26 Oct 2020 17:37:09 GMT
+      - Sat, 26 Dec 2020 19:34:41 GMT
       location:
-      - https://js-metrics-advisor.cognitiveservices.azure.com/metricsadvisor/v1.0/feedback/metric/28ca82ee-9891-4cae-b086-6e21f2cc6d50
+      - https://js-metrics-advisor.cognitiveservices.azure.com/metricsadvisor/v1.0/feedback/metric/4f7ac75b-f6d0-4131-8aa6-ecb927c8106a
       strict-transport-security:
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       x-envoy-upstream-service-time:
-      - '592'
+      - '361'
       x-request-id:
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+      - 69279e2b-7424-4de2-93fc-63beb6479341
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       message: Created
diff --git a/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_metrics_advisor_client_live.test_add_change_point_feedback.yaml b/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_metrics_advisor_client_live.test_add_change_point_feedback.yaml
index f74607d91755..0224900007c6 100644
--- a/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_metrics_advisor_client_live.test_add_change_point_feedback.yaml
+++ b/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_metrics_advisor_client_live.test_add_change_point_feedback.yaml
@@ -15,7 +15,7 @@ interactions:
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       - application/json
       User-Agent:
-      - azsdk-python-ai-metricsadvisor/1.0.0b2 Python/3.8.5 (Windows-10-10.0.19041-SP0)
+      - azsdk-python-ai-metricsadvisor/1.0.0b3 Python/3.8.6 (Windows-10-10.0.19041-SP0)
     method: POST
     uri: https://js-metrics-advisor.cognitiveservices.azure.com/metricsadvisor/v1.0/feedback/metric
   response:
@@ -23,21 +23,21 @@ interactions:
       string: ''
     headers:
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-      - 4d576337-f642-494c-904d-8d55275a8260
+      - ba7f1cac-8c80-476a-bef2-6d78d25e4e67
       content-length:
       - '0'
       date:
-      - Mon, 26 Oct 2020 17:37:12 GMT
+      - Sat, 26 Dec 2020 19:34:41 GMT
       location:
-      - https://js-metrics-advisor.cognitiveservices.azure.com/metricsadvisor/v1.0/feedback/metric/26a91e1a-ae54-4f87-a62d-fcb68c549773
+      - https://js-metrics-advisor.cognitiveservices.azure.com/metricsadvisor/v1.0/feedback/metric/43f562ae-2085-4395-9944-cb9b7bc2a7c7
       strict-transport-security:
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diff --git a/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_metrics_advisor_client_live.test_add_comment_feedback.yaml b/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_metrics_advisor_client_live.test_add_comment_feedback.yaml
index 94862b6b19c2..9c5d88d8d1ff 100644
--- a/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_metrics_advisor_client_live.test_add_comment_feedback.yaml
+++ b/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_metrics_advisor_client_live.test_add_comment_feedback.yaml
@@ -15,7 +15,7 @@ interactions:
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     uri: https://js-metrics-advisor.cognitiveservices.azure.com/metricsadvisor/v1.0/feedback/metric
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@@ -23,21 +23,21 @@ interactions:
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-      - Mon, 26 Oct 2020 17:37:12 GMT
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+      - https://js-metrics-advisor.cognitiveservices.azure.com/metricsadvisor/v1.0/feedback/metric/dd5f0a43-9408-4892-bcc5-02f4cd8a7858
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diff --git a/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_metrics_advisor_client_live.test_add_period_feedback.yaml b/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_metrics_advisor_client_live.test_add_period_feedback.yaml
index 777582070943..53c616c7cbdc 100644
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diff --git a/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_metrics_advisor_client_live.test_list_dimension_values.yaml b/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_metrics_advisor_client_live.test_list_dimension_values.yaml
index adcf24e37b58..638e2d395d4d 100644
--- a/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_metrics_advisor_client_live.test_list_dimension_values.yaml
+++ b/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_metrics_advisor_client_live.test_list_dimension_values.yaml
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+      - Sat, 26 Dec 2020 19:34:45 GMT
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diff --git a/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_metrics_advisor_client_live.test_list_feedback.yaml b/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_metrics_advisor_client_live.test_list_feedback.yaml
index 35d78b2ca981..ae81255bf893 100644
--- a/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_metrics_advisor_client_live.test_list_feedback.yaml
+++ b/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_metrics_advisor_client_live.test_list_feedback.yaml
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diff --git a/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_metrics_advisor_client_live.test_list_incidents_for_detection_configuration.yaml b/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_metrics_advisor_client_live.test_list_incidents_for_detection_configuration.yaml
index c709101c5787..710eb716c184 100644
--- a/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_metrics_advisor_client_live.test_list_incidents_for_detection_configuration.yaml
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+      - Sat, 26 Dec 2020 19:35:56 GMT
       strict-transport-security:
       - max-age=31536000; includeSubDomains; preload
       x-content-type-options:
       - nosniff
       x-envoy-upstream-service-time:
-      - '179'
+      - '295'
       x-request-id:
-      - 3e912672-0d24-4481-9f93-41831bb4501c
+      - 88775f64-c3fc-4c41-9955-c8e4f67707d3
     status:
       code: 200
       message: OK
diff --git a/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_metrics_advisor_client_live.test_list_metrics_series_data.yaml b/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_metrics_advisor_client_live.test_list_metrics_series_data.yaml
index 68153866dedf..88451663a892 100644
--- a/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_metrics_advisor_client_live.test_list_metrics_series_data.yaml
+++ b/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_metrics_advisor_client_live.test_list_metrics_series_data.yaml
@@ -14,7 +14,7 @@ interactions:
       Content-Type:
       - application/json
       User-Agent:
-      - azsdk-python-ai-metricsadvisor/1.0.0b2 Python/3.8.5 (Windows-10-10.0.19041-SP0)
+      - azsdk-python-ai-metricsadvisor/1.0.0b3 Python/3.8.6 (Windows-10-10.0.19041-SP0)
     method: POST
     uri: https://js-metrics-advisor.cognitiveservices.azure.com/metricsadvisor/v1.0/metrics/metric_id/data/query
   response:
@@ -23,21 +23,21 @@ interactions:
         Angeles","category":"Homemade"}},"timestampList":[],"valueList":[]}]}'
     headers:
       apim-request-id:
-      - c66ba8b7-be11-4879-aa09-29bb69baa1bc
+      - 2566231b-0b95-43c8-bf7a-8642e9171235
       content-length:
       - '161'
       content-type:
       - application/json; charset=utf-8
       date:
-      - Mon, 26 Oct 2020 17:38:03 GMT
+      - Sat, 26 Dec 2020 19:35:57 GMT
       strict-transport-security:
       - max-age=31536000; includeSubDomains; preload
       x-content-type-options:
       - nosniff
       x-envoy-upstream-service-time:
-      - '808'
+      - '750'
       x-request-id:
-      - c66ba8b7-be11-4879-aa09-29bb69baa1bc
+      - 2566231b-0b95-43c8-bf7a-8642e9171235
     status:
       code: 200
       message: OK
diff --git a/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/test_alert_config_aad.py b/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/test_alert_config_aad.py
new file mode 100644
index 000000000000..4c1805fa6ae1
--- /dev/null
+++ b/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/test_alert_config_aad.py
@@ -0,0 +1,1060 @@
+# coding=utf-8
+# -------------------------------------------------------------------------
+# Copyright (c) Microsoft Corporation. All rights reserved.
+# Licensed under the MIT License. See License.txt in the project root for
+# license information.
+# --------------------------------------------------------------------------
+
+import pytest
+from azure.core.exceptions import ResourceNotFoundError
+
+from azure.ai.metricsadvisor.models import (
+    MetricAlertConfiguration,
+    MetricAnomalyAlertScope,
+    MetricAnomalyAlertConditions,
+    MetricBoundaryCondition,
+    TopNGroupScope,
+    SeverityCondition,
+    MetricAnomalyAlertSnoozeCondition,
+)
+from base_testcase_aad import TestMetricsAdvisorAdministrationClientBase
+
+
+class TestMetricsAdvisorAdministrationClient(TestMetricsAdvisorAdministrationClientBase):
+
+    def test_create_alert_config_top_n_alert_direction_both(self):
+
+        detection_config, data_feed = self._create_data_feed_and_detection_config("topnup")
+        alert_config_name = self.create_random_name("testalert")
+        try:
+            alert_config = self.admin_client.create_alert_configuration(
+                name=alert_config_name,
+                metric_alert_configurations=[
+                    MetricAlertConfiguration(
+                        detection_configuration_id=detection_config.id,
+                        alert_scope=MetricAnomalyAlertScope(
+                            scope_type="TopN",
+                            top_n_group_in_scope=TopNGroupScope(
+                                top=5,
+                                period=10,
+                                min_top_count=9
+                            )
+                        ),
+                        alert_conditions=MetricAnomalyAlertConditions(
+                            metric_boundary_condition=MetricBoundaryCondition(
+                                direction="Both",
+                                companion_metric_id=data_feed.metric_ids[0],
+                                lower=1.0,
+                                upper=5.0
+                            )
+                        )
+                    )
+                ],
+                hook_ids=[]
+            )
+            self.assertIsNone(alert_config.cross_metrics_operator)
+            self.assertIsNotNone(alert_config.id)
+            self.assertIsNotNone(alert_config.name)
+            self.assertEqual(len(alert_config.metric_alert_configurations), 1)
+            self.assertIsNotNone(alert_config.metric_alert_configurations[0].detection_configuration_id)
+            self.assertFalse(alert_config.metric_alert_configurations[0].negation_operation)
+            self.assertEqual(alert_config.metric_alert_configurations[0].alert_scope.scope_type, "TopN")
+            self.assertEqual(
+                alert_config.metric_alert_configurations[0].alert_scope.top_n_group_in_scope.min_top_count, 9)
+            self.assertEqual(alert_config.metric_alert_configurations[0].alert_scope.top_n_group_in_scope.period, 10)
+            self.assertEqual(alert_config.metric_alert_configurations[0].alert_scope.top_n_group_in_scope.top, 5)
+            self.assertIsNotNone(
+                alert_config.metric_alert_configurations[0].alert_conditions.metric_boundary_condition.companion_metric_id)
+            self.assertEqual(
+                alert_config.metric_alert_configurations[0].alert_conditions.metric_boundary_condition.upper, 5.0)
+            self.assertEqual(
+                alert_config.metric_alert_configurations[0].alert_conditions.metric_boundary_condition.lower, 1.0)
+            self.assertEqual(
+                alert_config.metric_alert_configurations[0].alert_conditions.metric_boundary_condition.direction, "Both")
+            self.assertFalse(
+                alert_config.metric_alert_configurations[0].alert_conditions.metric_boundary_condition.trigger_for_missing)
+
+            self.admin_client.delete_alert_configuration(alert_config.id)
+
+            with self.assertRaises(ResourceNotFoundError):
+                self.admin_client.get_alert_configuration(alert_config.id)
+
+        finally:
+            self.admin_client.delete_detection_configuration(detection_config.id)
+            self.admin_client.delete_data_feed(data_feed.id)
+
+    def test_create_alert_config_top_n_alert_direction_down(self):
+
+        detection_config, data_feed = self._create_data_feed_and_detection_config("topnup")
+        alert_config_name = self.create_random_name("testalert")
+        try:
+            alert_config = self.admin_client.create_alert_configuration(
+                name=alert_config_name,
+                metric_alert_configurations=[
+                    MetricAlertConfiguration(
+                        detection_configuration_id=detection_config.id,
+                        alert_scope=MetricAnomalyAlertScope(
+                            scope_type="TopN",
+                            top_n_group_in_scope=TopNGroupScope(
+                                top=5,
+                                period=10,
+                                min_top_count=9
+                            )
+                        ),
+                        alert_conditions=MetricAnomalyAlertConditions(
+                            metric_boundary_condition=MetricBoundaryCondition(
+                                direction="Down",
+                                companion_metric_id=data_feed.metric_ids[0],
+                                lower=1.0,
+                            )
+                        )
+                    )
+                ],
+                hook_ids=[]
+            )
+            self.assertIsNone(alert_config.cross_metrics_operator)
+            self.assertIsNotNone(alert_config.id)
+            self.assertIsNotNone(alert_config.name)
+            self.assertEqual(len(alert_config.metric_alert_configurations), 1)
+            self.assertIsNotNone(alert_config.metric_alert_configurations[0].detection_configuration_id)
+            self.assertFalse(alert_config.metric_alert_configurations[0].negation_operation)
+            self.assertEqual(alert_config.metric_alert_configurations[0].alert_scope.scope_type, "TopN")
+            self.assertEqual(
+                alert_config.metric_alert_configurations[0].alert_scope.top_n_group_in_scope.min_top_count, 9)
+            self.assertEqual(alert_config.metric_alert_configurations[0].alert_scope.top_n_group_in_scope.period, 10)
+            self.assertEqual(alert_config.metric_alert_configurations[0].alert_scope.top_n_group_in_scope.top, 5)
+            self.assertIsNotNone(
+                alert_config.metric_alert_configurations[0].alert_conditions.metric_boundary_condition.companion_metric_id)
+            self.assertEqual(
+                alert_config.metric_alert_configurations[0].alert_conditions.metric_boundary_condition.direction, "Down")
+            self.assertEqual(
+                alert_config.metric_alert_configurations[0].alert_conditions.metric_boundary_condition.lower, 1.0)
+            self.assertIsNone(
+                alert_config.metric_alert_configurations[0].alert_conditions.metric_boundary_condition.upper)
+            self.assertFalse(
+                alert_config.metric_alert_configurations[0].alert_conditions.metric_boundary_condition.trigger_for_missing)
+
+            self.admin_client.delete_alert_configuration(alert_config.id)
+
+            with self.assertRaises(ResourceNotFoundError):
+                self.admin_client.get_alert_configuration(alert_config.id)
+
+        finally:
+            self.admin_client.delete_detection_configuration(detection_config.id)
+            self.admin_client.delete_data_feed(data_feed.id)
+
+    def test_create_alert_config_top_n_alert_direction_up(self):
+
+        detection_config, data_feed = self._create_data_feed_and_detection_config("topnup")
+        alert_config_name = self.create_random_name("testalert")
+        try:
+            alert_config = self.admin_client.create_alert_configuration(
+                name=alert_config_name,
+                metric_alert_configurations=[
+                    MetricAlertConfiguration(
+                        detection_configuration_id=detection_config.id,
+                        alert_scope=MetricAnomalyAlertScope(
+                            scope_type="TopN",
+                            top_n_group_in_scope=TopNGroupScope(
+                                top=5,
+                                period=10,
+                                min_top_count=9
+                            )
+                        ),
+                        alert_conditions=MetricAnomalyAlertConditions(
+                            metric_boundary_condition=MetricBoundaryCondition(
+                                direction="Up",
+                                companion_metric_id=data_feed.metric_ids[0],
+                                upper=5.0,
+                            )
+                        )
+                    )
+                ],
+                hook_ids=[]
+            )
+            self.assertIsNone(alert_config.cross_metrics_operator)
+            self.assertIsNotNone(alert_config.id)
+            self.assertIsNotNone(alert_config.name)
+            self.assertEqual(len(alert_config.metric_alert_configurations), 1)
+            self.assertIsNotNone(alert_config.metric_alert_configurations[0].detection_configuration_id)
+            self.assertFalse(alert_config.metric_alert_configurations[0].negation_operation)
+            self.assertEqual(alert_config.metric_alert_configurations[0].alert_scope.scope_type, "TopN")
+            self.assertEqual(
+                alert_config.metric_alert_configurations[0].alert_scope.top_n_group_in_scope.min_top_count, 9)
+            self.assertEqual(alert_config.metric_alert_configurations[0].alert_scope.top_n_group_in_scope.period, 10)
+            self.assertEqual(alert_config.metric_alert_configurations[0].alert_scope.top_n_group_in_scope.top, 5)
+            self.assertIsNotNone(
+                alert_config.metric_alert_configurations[0].alert_conditions.metric_boundary_condition.companion_metric_id)
+            self.assertEqual(
+                alert_config.metric_alert_configurations[0].alert_conditions.metric_boundary_condition.direction, "Up")
+            self.assertEqual(
+                alert_config.metric_alert_configurations[0].alert_conditions.metric_boundary_condition.upper, 5.0)
+            self.assertIsNone(
+                alert_config.metric_alert_configurations[0].alert_conditions.metric_boundary_condition.lower)
+            self.assertFalse(
+                alert_config.metric_alert_configurations[0].alert_conditions.metric_boundary_condition.trigger_for_missing)
+
+            self.admin_client.delete_alert_configuration(alert_config.id)
+
+            with self.assertRaises(ResourceNotFoundError):
+                self.admin_client.get_alert_configuration(alert_config.id)
+
+        finally:
+            self.admin_client.delete_detection_configuration(detection_config.id)
+            self.admin_client.delete_data_feed(data_feed.id)
+
+    def test_create_alert_config_top_n_severity_condition(self):
+
+        detection_config, data_feed = self._create_data_feed_and_detection_config("topnup")
+        alert_config_name = self.create_random_name("testalert")
+        try:
+            alert_config = self.admin_client.create_alert_configuration(
+                name=alert_config_name,
+                metric_alert_configurations=[
+                    MetricAlertConfiguration(
+                        detection_configuration_id=detection_config.id,
+                        alert_scope=MetricAnomalyAlertScope(
+                            scope_type="TopN",
+                            top_n_group_in_scope=TopNGroupScope(
+                                top=5,
+                                period=10,
+                                min_top_count=9
+                            )
+                        ),
+                        alert_conditions=MetricAnomalyAlertConditions(
+                            severity_condition=SeverityCondition(
+                                min_alert_severity="Low",
+                                max_alert_severity="High"
+                            )
+                        )
+                    )
+                ],
+                hook_ids=[]
+            )
+            self.assertIsNone(alert_config.cross_metrics_operator)
+            self.assertIsNotNone(alert_config.id)
+            self.assertIsNotNone(alert_config.name)
+            self.assertEqual(len(alert_config.metric_alert_configurations), 1)
+            self.assertIsNotNone(alert_config.metric_alert_configurations[0].detection_configuration_id)
+            self.assertFalse(alert_config.metric_alert_configurations[0].negation_operation)
+            self.assertEqual(alert_config.metric_alert_configurations[0].alert_scope.scope_type, "TopN")
+            self.assertEqual(
+                alert_config.metric_alert_configurations[0].alert_scope.top_n_group_in_scope.min_top_count, 9)
+            self.assertEqual(alert_config.metric_alert_configurations[0].alert_scope.top_n_group_in_scope.period, 10)
+            self.assertEqual(alert_config.metric_alert_configurations[0].alert_scope.top_n_group_in_scope.top, 5)
+            self.assertEqual(
+                alert_config.metric_alert_configurations[0].alert_conditions.severity_condition.min_alert_severity, "Low")
+            self.assertEqual(
+                alert_config.metric_alert_configurations[0].alert_conditions.severity_condition.max_alert_severity, "High")
+
+            self.admin_client.delete_alert_configuration(alert_config.id)
+
+            with self.assertRaises(ResourceNotFoundError):
+                self.admin_client.get_alert_configuration(alert_config.id)
+
+        finally:
+            self.admin_client.delete_detection_configuration(detection_config.id)
+            self.admin_client.delete_data_feed(data_feed.id)
+
+    def test_create_alert_config_snooze_condition(self):
+
+        detection_config, data_feed = self._create_data_feed_and_detection_config("topnup")
+        alert_config_name = self.create_random_name("testalert")
+        try:
+            alert_config = self.admin_client.create_alert_configuration(
+                name=alert_config_name,
+                metric_alert_configurations=[
+                    MetricAlertConfiguration(
+                        detection_configuration_id=detection_config.id,
+                        alert_scope=MetricAnomalyAlertScope(
+                            scope_type="TopN",
+                            top_n_group_in_scope=TopNGroupScope(
+                                top=5,
+                                period=10,
+                                min_top_count=9
+                            )
+                        ),
+                        alert_snooze_condition=MetricAnomalyAlertSnoozeCondition(
+                            auto_snooze=5,
+                            snooze_scope="Metric",
+                            only_for_successive=True
+                        )
+                    )
+                ],
+                hook_ids=[]
+            )
+            self.assertIsNone(alert_config.cross_metrics_operator)
+            self.assertIsNotNone(alert_config.id)
+            self.assertIsNotNone(alert_config.name)
+            self.assertEqual(len(alert_config.metric_alert_configurations), 1)
+            self.assertIsNotNone(alert_config.metric_alert_configurations[0].detection_configuration_id)
+            self.assertFalse(alert_config.metric_alert_configurations[0].negation_operation)
+            self.assertEqual(alert_config.metric_alert_configurations[0].alert_scope.scope_type, "TopN")
+            self.assertEqual(
+                alert_config.metric_alert_configurations[0].alert_scope.top_n_group_in_scope.min_top_count, 9)
+            self.assertEqual(alert_config.metric_alert_configurations[0].alert_scope.top_n_group_in_scope.period, 10)
+            self.assertEqual(alert_config.metric_alert_configurations[0].alert_scope.top_n_group_in_scope.top, 5)
+            self.assertEqual(
+                alert_config.metric_alert_configurations[0].alert_snooze_condition.auto_snooze, 5)
+            self.assertEqual(
+                alert_config.metric_alert_configurations[0].alert_snooze_condition.snooze_scope, "Metric")
+            self.assertTrue(
+                alert_config.metric_alert_configurations[0].alert_snooze_condition.only_for_successive)
+            self.admin_client.delete_alert_configuration(alert_config.id)
+
+            with self.assertRaises(ResourceNotFoundError):
+                self.admin_client.get_alert_configuration(alert_config.id)
+
+        finally:
+            self.admin_client.delete_detection_configuration(detection_config.id)
+            self.admin_client.delete_data_feed(data_feed.id)
+
+    def test_create_alert_config_whole_series_alert_direction_both(self):
+
+        detection_config, data_feed = self._create_data_feed_and_detection_config("wholeseries")
+        alert_config_name = self.create_random_name("testalert")
+        try:
+            alert_config = self.admin_client.create_alert_configuration(
+                name=alert_config_name,
+                metric_alert_configurations=[
+                    MetricAlertConfiguration(
+                        detection_configuration_id=detection_config.id,
+                        alert_scope=MetricAnomalyAlertScope(
+                            scope_type="WholeSeries",
+                        ),
+                        alert_conditions=MetricAnomalyAlertConditions(
+                            metric_boundary_condition=MetricBoundaryCondition(
+                                direction="Both",
+                                companion_metric_id=data_feed.metric_ids[0],
+                                lower=1.0,
+                                upper=5.0
+                            )
+                        )
+                    )
+                ],
+                hook_ids=[]
+            )
+            self.assertIsNone(alert_config.cross_metrics_operator)
+            self.assertIsNotNone(alert_config.id)
+            self.assertIsNotNone(alert_config.name)
+            self.assertEqual(len(alert_config.metric_alert_configurations), 1)
+            self.assertIsNotNone(alert_config.metric_alert_configurations[0].detection_configuration_id)
+            self.assertFalse(alert_config.metric_alert_configurations[0].negation_operation)
+            self.assertEqual(alert_config.metric_alert_configurations[0].alert_scope.scope_type, "WholeSeries")
+            self.assertIsNotNone(
+                alert_config.metric_alert_configurations[0].alert_conditions.metric_boundary_condition.companion_metric_id)
+            self.assertEqual(
+                alert_config.metric_alert_configurations[0].alert_conditions.metric_boundary_condition.upper, 5.0)
+            self.assertEqual(
+                alert_config.metric_alert_configurations[0].alert_conditions.metric_boundary_condition.lower, 1.0)
+            self.assertEqual(
+                alert_config.metric_alert_configurations[0].alert_conditions.metric_boundary_condition.direction, "Both")
+            self.assertFalse(
+                alert_config.metric_alert_configurations[0].alert_conditions.metric_boundary_condition.trigger_for_missing)
+
+            self.admin_client.delete_alert_configuration(alert_config.id)
+
+            with self.assertRaises(ResourceNotFoundError):
+                self.admin_client.get_alert_configuration(alert_config.id)
+
+        finally:
+            self.admin_client.delete_detection_configuration(detection_config.id)
+            self.admin_client.delete_data_feed(data_feed.id)
+
+    def test_create_alert_config_whole_series_alert_direction_down(self):
+
+        detection_config, data_feed = self._create_data_feed_and_detection_config("wholeseries")
+        alert_config_name = self.create_random_name("testalert")
+        try:
+            alert_config = self.admin_client.create_alert_configuration(
+                name=alert_config_name,
+                metric_alert_configurations=[
+                    MetricAlertConfiguration(
+                        detection_configuration_id=detection_config.id,
+                        alert_scope=MetricAnomalyAlertScope(
+                            scope_type="WholeSeries"
+                        ),
+                        alert_conditions=MetricAnomalyAlertConditions(
+                            metric_boundary_condition=MetricBoundaryCondition(
+                                direction="Down",
+                                companion_metric_id=data_feed.metric_ids[0],
+                                lower=1.0,
+                            )
+                        )
+                    )
+                ],
+                hook_ids=[]
+            )
+            self.assertIsNone(alert_config.cross_metrics_operator)
+            self.assertIsNotNone(alert_config.id)
+            self.assertIsNotNone(alert_config.name)
+            self.assertEqual(len(alert_config.metric_alert_configurations), 1)
+            self.assertIsNotNone(alert_config.metric_alert_configurations[0].detection_configuration_id)
+            self.assertFalse(alert_config.metric_alert_configurations[0].negation_operation)
+            self.assertEqual(alert_config.metric_alert_configurations[0].alert_scope.scope_type, "WholeSeries")
+            self.assertIsNotNone(
+                alert_config.metric_alert_configurations[0].alert_conditions.metric_boundary_condition.companion_metric_id)
+            self.assertEqual(
+                alert_config.metric_alert_configurations[0].alert_conditions.metric_boundary_condition.direction, "Down")
+            self.assertEqual(
+                alert_config.metric_alert_configurations[0].alert_conditions.metric_boundary_condition.lower, 1.0)
+            self.assertIsNone(
+                alert_config.metric_alert_configurations[0].alert_conditions.metric_boundary_condition.upper)
+            self.assertFalse(
+                alert_config.metric_alert_configurations[0].alert_conditions.metric_boundary_condition.trigger_for_missing)
+
+            self.admin_client.delete_alert_configuration(alert_config.id)
+
+            with self.assertRaises(ResourceNotFoundError):
+                self.admin_client.get_alert_configuration(alert_config.id)
+
+        finally:
+            self.admin_client.delete_detection_configuration(detection_config.id)
+            self.admin_client.delete_data_feed(data_feed.id)
+
+    def test_create_alert_config_whole_series_alert_direction_up(self):
+
+        detection_config, data_feed = self._create_data_feed_and_detection_config("wholeseries")
+        alert_config_name = self.create_random_name("testalert")
+        try:
+            alert_config = self.admin_client.create_alert_configuration(
+                name=alert_config_name,
+                metric_alert_configurations=[
+                    MetricAlertConfiguration(
+                        detection_configuration_id=detection_config.id,
+                        alert_scope=MetricAnomalyAlertScope(
+                            scope_type="WholeSeries"
+                        ),
+                        alert_conditions=MetricAnomalyAlertConditions(
+                            metric_boundary_condition=MetricBoundaryCondition(
+                                direction="Up",
+                                companion_metric_id=data_feed.metric_ids[0],
+                                upper=5.0,
+                            )
+                        )
+                    )
+                ],
+                hook_ids=[]
+            )
+            self.assertIsNone(alert_config.cross_metrics_operator)
+            self.assertIsNotNone(alert_config.id)
+            self.assertIsNotNone(alert_config.name)
+            self.assertEqual(len(alert_config.metric_alert_configurations), 1)
+            self.assertIsNotNone(alert_config.metric_alert_configurations[0].detection_configuration_id)
+            self.assertFalse(alert_config.metric_alert_configurations[0].negation_operation)
+            self.assertEqual(alert_config.metric_alert_configurations[0].alert_scope.scope_type, "WholeSeries")
+            self.assertIsNotNone(
+                alert_config.metric_alert_configurations[0].alert_conditions.metric_boundary_condition.companion_metric_id)
+            self.assertEqual(
+                alert_config.metric_alert_configurations[0].alert_conditions.metric_boundary_condition.direction, "Up")
+            self.assertEqual(
+                alert_config.metric_alert_configurations[0].alert_conditions.metric_boundary_condition.upper, 5.0)
+            self.assertIsNone(
+                alert_config.metric_alert_configurations[0].alert_conditions.metric_boundary_condition.lower)
+            self.assertFalse(
+                alert_config.metric_alert_configurations[0].alert_conditions.metric_boundary_condition.trigger_for_missing)
+
+            self.admin_client.delete_alert_configuration(alert_config.id)
+
+            with self.assertRaises(ResourceNotFoundError):
+                self.admin_client.get_alert_configuration(alert_config.id)
+
+        finally:
+            self.admin_client.delete_detection_configuration(detection_config.id)
+            self.admin_client.delete_data_feed(data_feed.id)
+
+    def test_create_alert_config_whole_series_severity_condition(self):
+
+        detection_config, data_feed = self._create_data_feed_and_detection_config("topnup")
+        alert_config_name = self.create_random_name("testalert")
+        try:
+            alert_config = self.admin_client.create_alert_configuration(
+                name=alert_config_name,
+                metric_alert_configurations=[
+                    MetricAlertConfiguration(
+                        detection_configuration_id=detection_config.id,
+                        alert_scope=MetricAnomalyAlertScope(
+                            scope_type="WholeSeries"
+                        ),
+                        alert_conditions=MetricAnomalyAlertConditions(
+                            severity_condition=SeverityCondition(
+                                min_alert_severity="Low",
+                                max_alert_severity="High"
+                            )
+                        )
+                    )
+                ],
+                hook_ids=[]
+            )
+            self.assertIsNone(alert_config.cross_metrics_operator)
+            self.assertIsNotNone(alert_config.id)
+            self.assertIsNotNone(alert_config.name)
+            self.assertEqual(len(alert_config.metric_alert_configurations), 1)
+            self.assertIsNotNone(alert_config.metric_alert_configurations[0].detection_configuration_id)
+            self.assertFalse(alert_config.metric_alert_configurations[0].negation_operation)
+            self.assertEqual(alert_config.metric_alert_configurations[0].alert_scope.scope_type, "WholeSeries")
+            self.assertEqual(
+                alert_config.metric_alert_configurations[0].alert_conditions.severity_condition.min_alert_severity, "Low")
+            self.assertEqual(
+                alert_config.metric_alert_configurations[0].alert_conditions.severity_condition.max_alert_severity, "High")
+
+            self.admin_client.delete_alert_configuration(alert_config.id)
+
+            with self.assertRaises(ResourceNotFoundError):
+                self.admin_client.get_alert_configuration(alert_config.id)
+
+        finally:
+            self.admin_client.delete_detection_configuration(detection_config.id)
+            self.admin_client.delete_data_feed(data_feed.id)
+
+    def test_create_alert_config_series_group_alert_direction_both(self):
+
+        detection_config, data_feed = self._create_data_feed_and_detection_config("seriesgroup")
+        alert_config_name = self.create_random_name("testalert")
+        try:
+            alert_config = self.admin_client.create_alert_configuration(
+                name=alert_config_name,
+                metric_alert_configurations=[
+                    MetricAlertConfiguration(
+                        detection_configuration_id=detection_config.id,
+                        alert_scope=MetricAnomalyAlertScope(
+                            scope_type="SeriesGroup",
+                            series_group_in_scope={'city': 'Shenzhen'}
+                        ),
+                        alert_conditions=MetricAnomalyAlertConditions(
+                            metric_boundary_condition=MetricBoundaryCondition(
+                                direction="Both",
+                                companion_metric_id=data_feed.metric_ids[0],
+                                lower=1.0,
+                                upper=5.0
+                            )
+                        )
+                    )
+                ],
+                hook_ids=[]
+            )
+            self.assertIsNone(alert_config.cross_metrics_operator)
+            self.assertIsNotNone(alert_config.id)
+            self.assertIsNotNone(alert_config.name)
+            self.assertEqual(len(alert_config.metric_alert_configurations), 1)
+            self.assertIsNotNone(alert_config.metric_alert_configurations[0].detection_configuration_id)
+            self.assertFalse(alert_config.metric_alert_configurations[0].negation_operation)
+            self.assertEqual(alert_config.metric_alert_configurations[0].alert_scope.scope_type, "SeriesGroup")
+            self.assertEqual(alert_config.metric_alert_configurations[0].alert_scope.series_group_in_scope, {'city': 'Shenzhen'})
+            self.assertIsNotNone(
+                alert_config.metric_alert_configurations[0].alert_conditions.metric_boundary_condition.companion_metric_id)
+            self.assertEqual(
+                alert_config.metric_alert_configurations[0].alert_conditions.metric_boundary_condition.upper, 5.0)
+            self.assertEqual(
+                alert_config.metric_alert_configurations[0].alert_conditions.metric_boundary_condition.lower, 1.0)
+            self.assertEqual(
+                alert_config.metric_alert_configurations[0].alert_conditions.metric_boundary_condition.direction, "Both")
+            self.assertFalse(
+                alert_config.metric_alert_configurations[0].alert_conditions.metric_boundary_condition.trigger_for_missing)
+
+            self.admin_client.delete_alert_configuration(alert_config.id)
+
+            with self.assertRaises(ResourceNotFoundError):
+                self.admin_client.get_alert_configuration(alert_config.id)
+
+        finally:
+            self.admin_client.delete_detection_configuration(detection_config.id)
+            self.admin_client.delete_data_feed(data_feed.id)
+
+    def test_create_alert_config_series_group_alert_direction_down(self):
+
+        detection_config, data_feed = self._create_data_feed_and_detection_config("seriesgroup")
+        alert_config_name = self.create_random_name("testalert")
+        try:
+            alert_config = self.admin_client.create_alert_configuration(
+                name=alert_config_name,
+                metric_alert_configurations=[
+                    MetricAlertConfiguration(
+                        detection_configuration_id=detection_config.id,
+                        alert_scope=MetricAnomalyAlertScope(
+                            scope_type="SeriesGroup",
+                            series_group_in_scope={'city': 'Shenzhen'}
+                        ),
+                        alert_conditions=MetricAnomalyAlertConditions(
+                            metric_boundary_condition=MetricBoundaryCondition(
+                                direction="Down",
+                                companion_metric_id=data_feed.metric_ids[0],
+                                lower=1.0,
+                            )
+                        )
+                    )
+                ],
+                hook_ids=[]
+            )
+            self.assertIsNone(alert_config.cross_metrics_operator)
+            self.assertIsNotNone(alert_config.id)
+            self.assertIsNotNone(alert_config.name)
+            self.assertEqual(len(alert_config.metric_alert_configurations), 1)
+            self.assertIsNotNone(alert_config.metric_alert_configurations[0].detection_configuration_id)
+            self.assertFalse(alert_config.metric_alert_configurations[0].negation_operation)
+            self.assertEqual(alert_config.metric_alert_configurations[0].alert_scope.scope_type, "SeriesGroup")
+            self.assertEqual(alert_config.metric_alert_configurations[0].alert_scope.series_group_in_scope, {'city': 'Shenzhen'})
+            self.assertIsNotNone(
+                alert_config.metric_alert_configurations[0].alert_conditions.metric_boundary_condition.companion_metric_id)
+            self.assertEqual(
+                alert_config.metric_alert_configurations[0].alert_conditions.metric_boundary_condition.direction, "Down")
+            self.assertEqual(
+                alert_config.metric_alert_configurations[0].alert_conditions.metric_boundary_condition.lower, 1.0)
+            self.assertIsNone(
+                alert_config.metric_alert_configurations[0].alert_conditions.metric_boundary_condition.upper)
+            self.assertFalse(
+                alert_config.metric_alert_configurations[0].alert_conditions.metric_boundary_condition.trigger_for_missing)
+
+            self.admin_client.delete_alert_configuration(alert_config.id)
+
+            with self.assertRaises(ResourceNotFoundError):
+                self.admin_client.get_alert_configuration(alert_config.id)
+
+        finally:
+            self.admin_client.delete_detection_configuration(detection_config.id)
+            self.admin_client.delete_data_feed(data_feed.id)
+
+    def test_create_alert_config_series_group_alert_direction_up(self):
+
+        detection_config, data_feed = self._create_data_feed_and_detection_config("seriesgroup")
+        alert_config_name = self.create_random_name("testalert")
+        try:
+            alert_config = self.admin_client.create_alert_configuration(
+                name=alert_config_name,
+                metric_alert_configurations=[
+                    MetricAlertConfiguration(
+                        detection_configuration_id=detection_config.id,
+                        alert_scope=MetricAnomalyAlertScope(
+                            scope_type="SeriesGroup",
+                            series_group_in_scope={'city': 'Shenzhen'}
+                        ),
+                        alert_conditions=MetricAnomalyAlertConditions(
+                            metric_boundary_condition=MetricBoundaryCondition(
+                                direction="Up",
+                                companion_metric_id=data_feed.metric_ids[0],
+                                upper=5.0,
+                            )
+                        )
+                    )
+                ],
+                hook_ids=[]
+            )
+            self.assertIsNone(alert_config.cross_metrics_operator)
+            self.assertIsNotNone(alert_config.id)
+            self.assertIsNotNone(alert_config.name)
+            self.assertEqual(len(alert_config.metric_alert_configurations), 1)
+            self.assertIsNotNone(alert_config.metric_alert_configurations[0].detection_configuration_id)
+            self.assertFalse(alert_config.metric_alert_configurations[0].negation_operation)
+            self.assertEqual(alert_config.metric_alert_configurations[0].alert_scope.scope_type, "SeriesGroup")
+            self.assertEqual(alert_config.metric_alert_configurations[0].alert_scope.series_group_in_scope, {'city': 'Shenzhen'})
+            self.assertIsNotNone(
+                alert_config.metric_alert_configurations[0].alert_conditions.metric_boundary_condition.companion_metric_id)
+            self.assertEqual(
+                alert_config.metric_alert_configurations[0].alert_conditions.metric_boundary_condition.direction, "Up")
+            self.assertEqual(
+                alert_config.metric_alert_configurations[0].alert_conditions.metric_boundary_condition.upper, 5.0)
+            self.assertIsNone(
+                alert_config.metric_alert_configurations[0].alert_conditions.metric_boundary_condition.lower)
+            self.assertFalse(
+                alert_config.metric_alert_configurations[0].alert_conditions.metric_boundary_condition.trigger_for_missing)
+
+            self.admin_client.delete_alert_configuration(alert_config.id)
+
+            with self.assertRaises(ResourceNotFoundError):
+                self.admin_client.get_alert_configuration(alert_config.id)
+
+        finally:
+            self.admin_client.delete_detection_configuration(detection_config.id)
+            self.admin_client.delete_data_feed(data_feed.id)
+
+    def test_create_alert_config_series_group_severity_condition(self):
+
+        detection_config, data_feed = self._create_data_feed_and_detection_config("seriesgroupsev")
+        alert_config_name = self.create_random_name("testalert")
+        try:
+            alert_config = self.admin_client.create_alert_configuration(
+                name=alert_config_name,
+                metric_alert_configurations=[
+                    MetricAlertConfiguration(
+                        detection_configuration_id=detection_config.id,
+                        alert_scope=MetricAnomalyAlertScope(
+                            scope_type="SeriesGroup",
+                            series_group_in_scope={'city': 'Shenzhen'}
+                        ),
+                        alert_conditions=MetricAnomalyAlertConditions(
+                            severity_condition=SeverityCondition(
+                                min_alert_severity="Low",
+                                max_alert_severity="High"
+                            )
+                        )
+                    )
+                ],
+                hook_ids=[]
+            )
+            self.assertIsNone(alert_config.cross_metrics_operator)
+            self.assertIsNotNone(alert_config.id)
+            self.assertIsNotNone(alert_config.name)
+            self.assertEqual(len(alert_config.metric_alert_configurations), 1)
+            self.assertIsNotNone(alert_config.metric_alert_configurations[0].detection_configuration_id)
+            self.assertFalse(alert_config.metric_alert_configurations[0].negation_operation)
+            self.assertEqual(alert_config.metric_alert_configurations[0].alert_scope.scope_type, "SeriesGroup")
+            self.assertEqual(alert_config.metric_alert_configurations[0].alert_scope.series_group_in_scope, {'city': 'Shenzhen'})
+            self.assertEqual(
+                alert_config.metric_alert_configurations[0].alert_conditions.severity_condition.min_alert_severity, "Low")
+            self.assertEqual(
+                alert_config.metric_alert_configurations[0].alert_conditions.severity_condition.max_alert_severity, "High")
+
+            self.admin_client.delete_alert_configuration(alert_config.id)
+
+            with self.assertRaises(ResourceNotFoundError):
+                self.admin_client.get_alert_configuration(alert_config.id)
+
+        finally:
+            self.admin_client.delete_detection_configuration(detection_config.id)
+            self.admin_client.delete_data_feed(data_feed.id)
+
+    def test_create_alert_config_multiple_configurations(self):
+
+        detection_config, data_feed = self._create_data_feed_and_detection_config("multiple")
+        alert_config_name = self.create_random_name("testalert")
+        try:
+            alert_config = self.admin_client.create_alert_configuration(
+                name=alert_config_name,
+                cross_metrics_operator="AND",
+                metric_alert_configurations=[
+                    MetricAlertConfiguration(
+                        detection_configuration_id=detection_config.id,
+                        alert_scope=MetricAnomalyAlertScope(
+                            scope_type="TopN",
+                            top_n_group_in_scope=TopNGroupScope(
+                                top=5,
+                                period=10,
+                                min_top_count=9
+                            )
+                        ),
+                        alert_conditions=MetricAnomalyAlertConditions(
+                            metric_boundary_condition=MetricBoundaryCondition(
+                                direction="Both",
+                                companion_metric_id=data_feed.metric_ids[0],
+                                lower=1.0,
+                                upper=5.0
+                            )
+                        )
+                    ),
+                    MetricAlertConfiguration(
+                        detection_configuration_id=detection_config.id,
+                        alert_scope=MetricAnomalyAlertScope(
+                            scope_type="SeriesGroup",
+                            series_group_in_scope={'city': 'Shenzhen'}
+                        ),
+                        alert_conditions=MetricAnomalyAlertConditions(
+                            severity_condition=SeverityCondition(
+                                min_alert_severity="Low",
+                                max_alert_severity="High"
+                            )
+                        )
+                    ),
+                    MetricAlertConfiguration(
+                        detection_configuration_id=detection_config.id,
+                        alert_scope=MetricAnomalyAlertScope(
+                            scope_type="WholeSeries"
+                        ),
+                        alert_conditions=MetricAnomalyAlertConditions(
+                            severity_condition=SeverityCondition(
+                                min_alert_severity="Low",
+                                max_alert_severity="High"
+                            )
+                        )
+                    )
+                ],
+                hook_ids=[]
+            )
+            self.assertEqual(alert_config.cross_metrics_operator, "AND")
+            self.assertIsNotNone(alert_config.id)
+            self.assertIsNotNone(alert_config.name)
+            self.assertEqual(len(alert_config.metric_alert_configurations), 3)
+            self.assertIsNotNone(alert_config.metric_alert_configurations[0].detection_configuration_id)
+            self.assertFalse(alert_config.metric_alert_configurations[0].negation_operation)
+            self.assertEqual(alert_config.metric_alert_configurations[0].alert_scope.scope_type, "TopN")
+            self.assertEqual(
+                alert_config.metric_alert_configurations[0].alert_scope.top_n_group_in_scope.min_top_count, 9)
+            self.assertEqual(alert_config.metric_alert_configurations[0].alert_scope.top_n_group_in_scope.period, 10)
+            self.assertEqual(alert_config.metric_alert_configurations[0].alert_scope.top_n_group_in_scope.top, 5)
+            self.assertIsNotNone(
+                alert_config.metric_alert_configurations[0].alert_conditions.metric_boundary_condition.companion_metric_id)
+            self.assertEqual(
+                alert_config.metric_alert_configurations[0].alert_conditions.metric_boundary_condition.upper, 5.0)
+            self.assertEqual(
+                alert_config.metric_alert_configurations[0].alert_conditions.metric_boundary_condition.lower, 1.0)
+            self.assertEqual(
+                alert_config.metric_alert_configurations[0].alert_conditions.metric_boundary_condition.direction, "Both")
+            self.assertFalse(
+                alert_config.metric_alert_configurations[0].alert_conditions.metric_boundary_condition.trigger_for_missing)
+            self.assertEqual(alert_config.metric_alert_configurations[1].alert_scope.scope_type, "SeriesGroup")
+            self.assertEqual(
+                alert_config.metric_alert_configurations[1].alert_conditions.severity_condition.min_alert_severity, "Low")
+            self.assertEqual(
+                alert_config.metric_alert_configurations[1].alert_conditions.severity_condition.max_alert_severity, "High")
+            self.assertEqual(alert_config.metric_alert_configurations[2].alert_scope.scope_type, "WholeSeries")
+            self.assertEqual(
+                alert_config.metric_alert_configurations[2].alert_conditions.severity_condition.min_alert_severity, "Low")
+            self.assertEqual(
+                alert_config.metric_alert_configurations[2].alert_conditions.severity_condition.max_alert_severity, "High")
+
+            self.admin_client.delete_alert_configuration(alert_config.id)
+
+            with self.assertRaises(ResourceNotFoundError):
+                self.admin_client.get_alert_configuration(alert_config.id)
+
+        finally:
+            self.admin_client.delete_detection_configuration(detection_config.id)
+            self.admin_client.delete_data_feed(data_feed.id)
+
+    def test_list_alert_configs(self):
+
+        configs = self.admin_client.list_alert_configurations(
+            detection_configuration_id=self.anomaly_detection_configuration_id
+        )
+        assert len(list(configs)) > 0
+
+    def test_update_alert_config_with_model(self):
+        try:
+            alert_config, data_feed, _ = self._create_alert_config_for_update("alertupdate")
+
+            alert_config.name = "update"
+            alert_config.description = "update description"
+            alert_config.cross_metrics_operator = "OR"
+            alert_config.metric_alert_configurations[0].alert_conditions.severity_condition = \
+                SeverityCondition(max_alert_severity="High", min_alert_severity="Low")
+            alert_config.metric_alert_configurations[1].alert_conditions.metric_boundary_condition = \
+                MetricBoundaryCondition(
+                    direction="Both",
+                    upper=5,
+                    lower=1
+                )
+            alert_config.metric_alert_configurations[2].alert_conditions.metric_boundary_condition = \
+                MetricBoundaryCondition(
+                    direction="Both",
+                    upper=5,
+                    lower=1
+                )
+
+            updated = self.admin_client.update_alert_configuration(alert_config)
+
+            self.assertEqual(updated.name, "update")
+            self.assertEqual(updated.description, "update description")
+            self.assertEqual(updated.cross_metrics_operator, "OR")
+            self.assertEqual(updated.metric_alert_configurations[0].alert_conditions.severity_condition.max_alert_severity, "High")
+            self.assertEqual(updated.metric_alert_configurations[0].alert_conditions.severity_condition.min_alert_severity, "Low")
+            self.assertEqual(updated.metric_alert_configurations[1].alert_conditions.metric_boundary_condition.direction, "Both")
+            self.assertEqual(updated.metric_alert_configurations[1].alert_conditions.metric_boundary_condition.upper, 5)
+            self.assertEqual(updated.metric_alert_configurations[1].alert_conditions.metric_boundary_condition.lower, 1)
+            self.assertEqual(updated.metric_alert_configurations[2].alert_conditions.metric_boundary_condition.direction, "Both")
+            self.assertEqual(updated.metric_alert_configurations[2].alert_conditions.metric_boundary_condition.upper, 5)
+            self.assertEqual(updated.metric_alert_configurations[2].alert_conditions.metric_boundary_condition.lower, 1)
+
+        finally:
+            self.admin_client.delete_data_feed(data_feed.id)
+
+    def test_update_alert_config_with_kwargs(self):
+        try:
+            alert_config, data_feed, detection_config = self._create_alert_config_for_update("alertupdate")
+            updated = self.admin_client.update_alert_configuration(
+                alert_config.id,
+                name="update",
+                description="update description",
+                cross_metrics_operator="OR",
+                metric_alert_configurations=[
+                    MetricAlertConfiguration(
+                        detection_configuration_id=detection_config.id,
+                        alert_scope=MetricAnomalyAlertScope(
+                            scope_type="TopN",
+                            top_n_group_in_scope=TopNGroupScope(
+                                top=5,
+                                period=10,
+                                min_top_count=9
+                            )
+                        ),
+                        alert_conditions=MetricAnomalyAlertConditions(
+                            metric_boundary_condition=MetricBoundaryCondition(
+                                direction="Both",
+                                companion_metric_id=data_feed.metric_ids[0],
+                                lower=1.0,
+                                upper=5.0
+                            ),
+                            severity_condition=SeverityCondition(max_alert_severity="High", min_alert_severity="Low")
+                        )
+                    ),
+                    MetricAlertConfiguration(
+                        detection_configuration_id=detection_config.id,
+                        alert_scope=MetricAnomalyAlertScope(
+                            scope_type="SeriesGroup",
+                            series_group_in_scope={'city': 'Shenzhen'}
+                        ),
+                        alert_conditions=MetricAnomalyAlertConditions(
+                            severity_condition=SeverityCondition(
+                                min_alert_severity="Low",
+                                max_alert_severity="High"
+                            ),
+                            metric_boundary_condition=MetricBoundaryCondition(
+                                direction="Both",
+                                upper=5,
+                                lower=1
+                            )
+                        )
+                    ),
+                    MetricAlertConfiguration(
+                        detection_configuration_id=detection_config.id,
+                        alert_scope=MetricAnomalyAlertScope(
+                            scope_type="WholeSeries"
+                        ),
+                        alert_conditions=MetricAnomalyAlertConditions(
+                            severity_condition=SeverityCondition(
+                                min_alert_severity="Low",
+                                max_alert_severity="High"
+                            ),
+                            metric_boundary_condition=MetricBoundaryCondition(
+                                direction="Both",
+                                upper=5,
+                                lower=1
+                            )
+                        )
+                    )
+                ]
+            )
+
+            self.assertEqual(updated.name, "update")
+            self.assertEqual(updated.description, "update description")
+            self.assertEqual(updated.cross_metrics_operator, "OR")
+            self.assertEqual(updated.metric_alert_configurations[0].alert_conditions.severity_condition.max_alert_severity, "High")
+            self.assertEqual(updated.metric_alert_configurations[0].alert_conditions.severity_condition.min_alert_severity, "Low")
+            self.assertEqual(updated.metric_alert_configurations[1].alert_conditions.metric_boundary_condition.direction, "Both")
+            self.assertEqual(updated.metric_alert_configurations[1].alert_conditions.metric_boundary_condition.upper, 5)
+            self.assertEqual(updated.metric_alert_configurations[1].alert_conditions.metric_boundary_condition.lower, 1)
+            self.assertEqual(updated.metric_alert_configurations[2].alert_conditions.metric_boundary_condition.direction, "Both")
+            self.assertEqual(updated.metric_alert_configurations[2].alert_conditions.metric_boundary_condition.upper, 5)
+            self.assertEqual(updated.metric_alert_configurations[2].alert_conditions.metric_boundary_condition.lower, 1)
+
+        finally:
+            self.admin_client.delete_data_feed(data_feed.id)
+
+    def test_update_alert_config_with_model_and_kwargs(self):
+        try:
+            alert_config, data_feed, detection_config = self._create_alert_config_for_update("alertupdate")
+
+            alert_config.name = "updateMe"
+            alert_config.description = "updateMe"
+            alert_config.cross_metrics_operator = "don't update me"
+            alert_config.metric_alert_configurations[0].alert_conditions.severity_condition = None
+            alert_config.metric_alert_configurations[1].alert_conditions.metric_boundary_condition = None
+            alert_config.metric_alert_configurations[2].alert_conditions.metric_boundary_condition = None
+
+            updated = self.admin_client.update_alert_configuration(
+                alert_config,
+                cross_metrics_operator="OR",
+                metric_alert_configurations=[
+                    MetricAlertConfiguration(
+                        detection_configuration_id=detection_config.id,
+                        alert_scope=MetricAnomalyAlertScope(
+                            scope_type="TopN",
+                            top_n_group_in_scope=TopNGroupScope(
+                                top=5,
+                                period=10,
+                                min_top_count=9
+                            )
+                        ),
+                        alert_conditions=MetricAnomalyAlertConditions(
+                            metric_boundary_condition=MetricBoundaryCondition(
+                                direction="Both",
+                                companion_metric_id=data_feed.metric_ids[0],
+                                lower=1.0,
+                                upper=5.0
+                            ),
+                            severity_condition=SeverityCondition(max_alert_severity="High", min_alert_severity="Low")
+                        )
+                    ),
+                    MetricAlertConfiguration(
+                        detection_configuration_id=detection_config.id,
+                        alert_scope=MetricAnomalyAlertScope(
+                            scope_type="SeriesGroup",
+                            series_group_in_scope={'city': 'Shenzhen'}
+                        ),
+                        alert_conditions=MetricAnomalyAlertConditions(
+                            severity_condition=SeverityCondition(
+                                min_alert_severity="Low",
+                                max_alert_severity="High"
+                            ),
+                            metric_boundary_condition=MetricBoundaryCondition(
+                                direction="Both",
+                                upper=5,
+                                lower=1
+                            )
+                        )
+                    ),
+                    MetricAlertConfiguration(
+                        detection_configuration_id=detection_config.id,
+                        alert_scope=MetricAnomalyAlertScope(
+                            scope_type="WholeSeries"
+                        ),
+                        alert_conditions=MetricAnomalyAlertConditions(
+                            severity_condition=SeverityCondition(
+                                min_alert_severity="Low",
+                                max_alert_severity="High"
+                            ),
+                            metric_boundary_condition=MetricBoundaryCondition(
+                                direction="Both",
+                                upper=5,
+                                lower=1
+                            )
+                        )
+                    )
+                ]
+            )
+
+            self.assertEqual(updated.name, "updateMe")
+            self.assertEqual(updated.description, "updateMe")
+            self.assertEqual(updated.cross_metrics_operator, "OR")
+            self.assertEqual(updated.metric_alert_configurations[0].alert_conditions.severity_condition.max_alert_severity, "High")
+            self.assertEqual(updated.metric_alert_configurations[0].alert_conditions.severity_condition.min_alert_severity, "Low")
+            self.assertEqual(updated.metric_alert_configurations[1].alert_conditions.metric_boundary_condition.direction, "Both")
+            self.assertEqual(updated.metric_alert_configurations[1].alert_conditions.metric_boundary_condition.upper, 5)
+            self.assertEqual(updated.metric_alert_configurations[1].alert_conditions.metric_boundary_condition.lower, 1)
+            self.assertEqual(updated.metric_alert_configurations[2].alert_conditions.metric_boundary_condition.direction, "Both")
+            self.assertEqual(updated.metric_alert_configurations[2].alert_conditions.metric_boundary_condition.upper, 5)
+            self.assertEqual(updated.metric_alert_configurations[2].alert_conditions.metric_boundary_condition.lower, 1)
+
+        finally:
+            self.admin_client.delete_data_feed(data_feed.id)
+
+    def test_update_anomaly_alert_by_resetting_properties(self):
+        try:
+            alert_config, data_feed, detection_config = self._create_alert_config_for_update("alertupdate")
+            updated = self.admin_client.update_alert_configuration(
+                alert_config.id,
+                name="reset",
+                description="",  # can't pass None currently, bug says description is required
+                metric_alert_configurations=[
+                    MetricAlertConfiguration(
+                        detection_configuration_id=detection_config.id,
+                        alert_scope=MetricAnomalyAlertScope(
+                            scope_type="TopN",
+                            top_n_group_in_scope=TopNGroupScope(
+                                top=5,
+                                period=10,
+                                min_top_count=9
+                            )
+                        ),
+                        alert_conditions=None
+                    )
+                ]
+            )
+
+            self.assertEqual(updated.name, "reset")
+            self.assertEqual(updated.description, "")
+            self.assertEqual(updated.cross_metrics_operator, None)
+            self.assertEqual(len(updated.metric_alert_configurations), 1)
+            self.assertEqual(updated.metric_alert_configurations[0].alert_conditions.severity_condition, None)
+            self.assertEqual(updated.metric_alert_configurations[0].alert_conditions.metric_boundary_condition, None)
+
+        finally:
+            self.admin_client.delete_data_feed(data_feed.id)
diff --git a/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/test_data_feed_ingestion_aad.py b/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/test_data_feed_ingestion_aad.py
new file mode 100644
index 000000000000..77c82d61517d
--- /dev/null
+++ b/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/test_data_feed_ingestion_aad.py
@@ -0,0 +1,57 @@
+# coding=utf-8
+# -------------------------------------------------------------------------
+# Copyright (c) Microsoft Corporation. All rights reserved.
+# Licensed under the MIT License. See License.txt in the project root for
+# license information.
+# --------------------------------------------------------------------------
+
+import datetime
+from dateutil.tz import tzutc
+import pytest
+from base_testcase_aad import TestMetricsAdvisorAdministrationClientBase
+
+
+class TestMetricsAdvisorAdministrationClient(TestMetricsAdvisorAdministrationClientBase):
+
+    def test_get_data_feed_ingestion_progress(self):
+
+        ingestion = self.admin_client.get_data_feed_ingestion_progress(
+            data_feed_id=self.data_feed_id
+        )
+        self.assertIsNotNone(ingestion.latest_success_timestamp)
+        self.assertIsNotNone(ingestion.latest_active_timestamp)
+
+    def test_list_data_feed_ingestion_status(self):
+
+        ingestions = self.admin_client.list_data_feed_ingestion_status(
+            data_feed_id=self.data_feed_id,
+            start_time=datetime.datetime(2020, 8, 9, tzinfo=tzutc()),
+            end_time=datetime.datetime(2020, 9, 16, tzinfo=tzutc()),
+        )
+        assert len(list(ingestions)) > 0
+
+    def test_list_data_feed_ingestion_status_with_skip(self):
+
+        ingestions = self.admin_client.list_data_feed_ingestion_status(
+            data_feed_id=self.data_feed_id,
+            start_time=datetime.datetime(2020, 8, 9, tzinfo=tzutc()),
+            end_time=datetime.datetime(2020, 9, 16, tzinfo=tzutc()),
+        )
+
+        ingestions_with_skips = self.admin_client.list_data_feed_ingestion_status(
+            data_feed_id=self.data_feed_id,
+            start_time=datetime.datetime(2020, 8, 9, tzinfo=tzutc()),
+            end_time=datetime.datetime(2020, 9, 16, tzinfo=tzutc()),
+            skip=5
+        )
+        ingestions_list = list(ingestions)
+        ingestions_with_skips_list = list(ingestions_with_skips)
+        assert len(ingestions_list) == len(ingestions_with_skips_list) + 5
+
+    def test_refresh_data_feed_ingestion(self):
+        self.admin_client.refresh_data_feed_ingestion(
+            self.data_feed_id,
+            start_time=datetime.datetime(2020, 10, 1, tzinfo=tzutc()),
+            end_time=datetime.datetime(2020, 10, 2, tzinfo=tzutc()),
+        )
+
diff --git a/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/test_data_feeds_aad.py b/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/test_data_feeds_aad.py
new file mode 100644
index 000000000000..6caafa7c54af
--- /dev/null
+++ b/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/test_data_feeds_aad.py
@@ -0,0 +1,1028 @@
+# coding=utf-8
+# -------------------------------------------------------------------------
+# Copyright (c) Microsoft Corporation. All rights reserved.
+# Licensed under the MIT License. See License.txt in the project root for
+# license information.
+# --------------------------------------------------------------------------
+
+import datetime
+from dateutil.tz import tzutc
+import pytest
+from azure.core.exceptions import ResourceNotFoundError
+
+from azure.ai.metricsadvisor.models import (
+    SQLServerDataFeed,
+    AzureTableDataFeed,
+    AzureBlobDataFeed,
+    AzureCosmosDBDataFeed,
+    HttpRequestDataFeed,
+    DataFeedMetric,
+    DataFeedDimension,
+    DataFeedSchema,
+    DataFeedIngestionSettings,
+    DataFeedGranularity,
+    DataFeedOptions,
+    DataFeedMissingDataPointFillSettings,
+    DataFeedRollupSettings,
+    AzureApplicationInsightsDataFeed,
+    AzureDataExplorerDataFeed,
+    InfluxDBDataFeed,
+    AzureDataLakeStorageGen2DataFeed,
+    MongoDBDataFeed,
+    MySqlDataFeed,
+    PostgreSqlDataFeed,
+    ElasticsearchDataFeed,
+)
+from base_testcase_aad import TestMetricsAdvisorAdministrationClientBase
+
+
+class TestMetricsAdvisorAdministrationClient(TestMetricsAdvisorAdministrationClientBase):
+
+    def test_create_simple_data_feed(self):
+        data_feed_name = self.create_random_name("testfeed")
+        try:
+            data_feed = self.admin_client.create_data_feed(
+                name=data_feed_name,
+                source=SQLServerDataFeed(
+                    connection_string=self.sql_server_connection_string,
+                    query="select * from adsample2 where Timestamp = @StartTime"
+                ),
+                granularity="Daily",
+                schema=["cost", "revenue"],
+                ingestion_settings=datetime.datetime(2019, 10, 1)
+            )
+
+            self.assertIsNotNone(data_feed.id)
+            self.assertIsNotNone(data_feed.created_time)
+            self.assertIsNotNone(data_feed.name)
+            self.assertEqual(data_feed.source.data_source_type, "SqlServer")
+            self.assertIsNotNone(data_feed.source.connection_string)
+            self.assertIsNotNone(data_feed.source.query)
+            self.assertEqual(data_feed.granularity.granularity_type, "Daily")
+            self.assertEqual(data_feed.schema.metrics[0].name, "cost")
+            self.assertEqual(data_feed.schema.metrics[1].name, "revenue")
+            self.assertEqual(data_feed.ingestion_settings.ingestion_begin_time,
+                             datetime.datetime(2019, 10, 1, tzinfo=tzutc()))
+        finally:
+            self.admin_client.delete_data_feed(data_feed.id)
+
+    def test_create_data_feed_from_sql_server(self):
+
+        data_feed_name = self.create_random_name("testfeed")
+        try:
+            data_feed = self.admin_client.create_data_feed(
+                name=data_feed_name,
+                source=SQLServerDataFeed(
+                    connection_string=self.sql_server_connection_string,
+                    query=u"select * from adsample2 where Timestamp = @StartTime"
+                ),
+                granularity=DataFeedGranularity(
+                    granularity_type="Daily",
+                ),
+                schema=DataFeedSchema(
+                    metrics=[
+                        DataFeedMetric(name="cost", display_name="display cost", description="the cost"),
+                        DataFeedMetric(name="revenue", display_name="display revenue", description="the revenue")
+                    ],
+                    dimensions=[
+                        DataFeedDimension(name="category", display_name="display category"),
+                        DataFeedDimension(name="city", display_name="display city")
+                    ],
+                    timestamp_column="Timestamp"
+                ),
+                ingestion_settings=DataFeedIngestionSettings(
+                    ingestion_begin_time=datetime.datetime(2019, 10, 1),
+                    data_source_request_concurrency=0,
+                    ingestion_retry_delay=-1,
+                    ingestion_start_offset=-1,
+                    stop_retry_after=-1,
+                ),
+                options=DataFeedOptions(
+                    admin_emails=["yournamehere@microsoft.com"],
+                    data_feed_description="my first data feed",
+                    missing_data_point_fill_settings=DataFeedMissingDataPointFillSettings(
+                        fill_type="SmartFilling"
+                    ),
+                    rollup_settings=DataFeedRollupSettings(
+                        rollup_type="NoRollup",
+                        rollup_method="None",
+                    ),
+                    viewer_emails=["viewers"],
+                    access_mode="Private",
+                    action_link_template="action link template"
+                )
+
+            )
+            self.assertIsNotNone(data_feed.id)
+            self.assertIsNotNone(data_feed.created_time)
+            self.assertIsNotNone(data_feed.name)
+            self.assertEqual(data_feed.source.data_source_type, "SqlServer")
+            self.assertIsNotNone(data_feed.source.connection_string)
+            self.assertIsNotNone(data_feed.source.query)
+            self.assertEqual(data_feed.granularity.granularity_type, "Daily")
+            self.assertEqual(data_feed.granularity.custom_granularity_value, None)
+            self.assertEqual(data_feed.schema.metrics[0].name, "cost")
+            self.assertEqual(data_feed.schema.metrics[1].name, "revenue")
+            self.assertEqual(data_feed.schema.metrics[0].display_name, "display cost")
+            self.assertEqual(data_feed.schema.metrics[1].display_name, "display revenue")
+            self.assertEqual(data_feed.schema.metrics[0].description, "the cost")
+            self.assertEqual(data_feed.schema.metrics[1].description, "the revenue")
+            self.assertEqual(data_feed.schema.dimensions[0].name, "category")
+            self.assertEqual(data_feed.schema.dimensions[1].name, "city")
+            self.assertEqual(data_feed.schema.dimensions[0].display_name, "display category")
+            self.assertEqual(data_feed.schema.dimensions[1].display_name, "display city")
+            self.assertEqual(data_feed.ingestion_settings.ingestion_begin_time,
+                             datetime.datetime(2019, 10, 1, tzinfo=tzutc()))
+            self.assertEqual(data_feed.ingestion_settings.data_source_request_concurrency, 0)
+            self.assertEqual(data_feed.ingestion_settings.ingestion_retry_delay, -1)
+            self.assertEqual(data_feed.ingestion_settings.ingestion_start_offset, -1)
+            self.assertEqual(data_feed.ingestion_settings.stop_retry_after, -1)
+            self.assertIn("yournamehere@microsoft.com", data_feed.options.admin_emails)
+            self.assertEqual(data_feed.options.data_feed_description, "my first data feed")
+            self.assertEqual(data_feed.options.missing_data_point_fill_settings.fill_type, "SmartFilling")
+            self.assertEqual(data_feed.options.rollup_settings.rollup_type, "NoRollup")
+            self.assertEqual(data_feed.options.rollup_settings.rollup_method, "None")
+            self.assertEqual(data_feed.options.viewer_emails, ["viewers"])
+            self.assertEqual(data_feed.options.access_mode, "Private")
+            self.assertEqual(data_feed.options.action_link_template, "action link template")
+            self.assertEqual(data_feed.status, "Active")
+            self.assertTrue(data_feed.is_admin)
+            self.assertIsNotNone(data_feed.metric_ids)
+
+        finally:
+            self.admin_client.delete_data_feed(data_feed.id)
+
+            with self.assertRaises(ResourceNotFoundError):
+                self.admin_client.get_data_feed(data_feed.id)
+
+    def test_create_data_feed_from_sql_server_with_custom_values(self):
+
+        data_feed_name = self.create_random_name("testfeed")
+        try:
+            data_feed = self.admin_client.create_data_feed(
+                name=data_feed_name,
+                source=SQLServerDataFeed(
+                    connection_string=self.sql_server_connection_string,
+                    query=u"select * from adsample2 where Timestamp = @StartTime"
+                ),
+                granularity=DataFeedGranularity(
+                    granularity_type="Custom",
+                    custom_granularity_value=20
+                ),
+                schema=DataFeedSchema(
+                    metrics=[
+                        DataFeedMetric(name="cost", display_name="display cost", description="the cost"),
+                        DataFeedMetric(name="revenue", display_name="display revenue", description="the revenue")
+                    ],
+                    dimensions=[
+                        DataFeedDimension(name="category", display_name="display category"),
+                        DataFeedDimension(name="city", display_name="display city")
+                    ],
+                    timestamp_column="Timestamp"
+                ),
+                ingestion_settings=DataFeedIngestionSettings(
+                    ingestion_begin_time=datetime.datetime(2019, 10, 1),
+                    data_source_request_concurrency=0,
+                    ingestion_retry_delay=-1,
+                    ingestion_start_offset=-1,
+                    stop_retry_after=-1,
+                ),
+                options=DataFeedOptions(
+                    admin_emails=["yournamehere@microsoft.com"],
+                    data_feed_description="my first data feed",
+                    missing_data_point_fill_settings=DataFeedMissingDataPointFillSettings(
+                        fill_type="CustomValue",
+                        custom_fill_value=10
+                    ),
+                    rollup_settings=DataFeedRollupSettings(
+                        rollup_type="AlreadyRollup",
+                        rollup_method="Sum",
+                        rollup_identification_value="sumrollup"
+                    ),
+                    viewer_emails=["viewers"],
+                    access_mode="Private",
+                    action_link_template="action link template"
+                )
+
+            )
+            self.assertIsNotNone(data_feed.id)
+            self.assertIsNotNone(data_feed.created_time)
+            self.assertIsNotNone(data_feed.name)
+            self.assertEqual(data_feed.source.data_source_type, "SqlServer")
+            self.assertIsNotNone(data_feed.source.connection_string)
+            self.assertIsNotNone(data_feed.source.query)
+            self.assertEqual(data_feed.granularity.granularity_type, "Custom")
+            self.assertEqual(data_feed.granularity.custom_granularity_value, 20)
+            self.assertEqual(data_feed.schema.metrics[0].name, "cost")
+            self.assertEqual(data_feed.schema.metrics[1].name, "revenue")
+            self.assertEqual(data_feed.schema.metrics[0].display_name, "display cost")
+            self.assertEqual(data_feed.schema.metrics[1].display_name, "display revenue")
+            self.assertEqual(data_feed.schema.metrics[0].description, "the cost")
+            self.assertEqual(data_feed.schema.metrics[1].description, "the revenue")
+            self.assertEqual(data_feed.schema.dimensions[0].name, "category")
+            self.assertEqual(data_feed.schema.dimensions[1].name, "city")
+            self.assertEqual(data_feed.schema.dimensions[0].display_name, "display category")
+            self.assertEqual(data_feed.schema.dimensions[1].display_name, "display city")
+            self.assertEqual(data_feed.ingestion_settings.ingestion_begin_time,
+                             datetime.datetime(2019, 10, 1, tzinfo=tzutc()))
+            self.assertEqual(data_feed.ingestion_settings.data_source_request_concurrency, 0)
+            self.assertEqual(data_feed.ingestion_settings.ingestion_retry_delay, -1)
+            self.assertEqual(data_feed.ingestion_settings.ingestion_start_offset, -1)
+            self.assertEqual(data_feed.ingestion_settings.stop_retry_after, -1)
+            self.assertIn("yournamehere@microsoft.com", data_feed.options.admin_emails)
+            self.assertEqual(data_feed.options.data_feed_description, "my first data feed")
+            self.assertEqual(data_feed.options.missing_data_point_fill_settings.fill_type, "CustomValue")
+            self.assertEqual(data_feed.options.missing_data_point_fill_settings.custom_fill_value, 10)
+            self.assertEqual(data_feed.options.rollup_settings.rollup_type, "AlreadyRollup")
+            self.assertEqual(data_feed.options.rollup_settings.rollup_method, "Sum")
+            self.assertEqual(data_feed.options.rollup_settings.rollup_identification_value, "sumrollup")
+            self.assertEqual(data_feed.options.viewer_emails, ["viewers"])
+            self.assertEqual(data_feed.options.access_mode, "Private")
+            self.assertEqual(data_feed.options.action_link_template, "action link template")
+            self.assertEqual(data_feed.status, "Active")
+            self.assertTrue(data_feed.is_admin)
+            self.assertIsNotNone(data_feed.metric_ids)
+
+        finally:
+            self.admin_client.delete_data_feed(data_feed.id)
+
+            with self.assertRaises(ResourceNotFoundError):
+                self.admin_client.get_data_feed(data_feed.id)
+
+    def test_create_data_feed_with_azure_table(self):
+        name = self.create_random_name("tablefeed")
+        try:
+            data_feed = self.admin_client.create_data_feed(
+                name=name,
+                source=AzureTableDataFeed(
+                    connection_string=self.azure_table_connection_string,
+                    query="PartitionKey ge '@StartTime' and PartitionKey lt '@EndTime'",
+                    table="adsample"
+                ),
+                granularity=DataFeedGranularity(
+                    granularity_type="Daily",
+                ),
+                schema=DataFeedSchema(
+                    metrics=[
+                        DataFeedMetric(name="cost"),
+                        DataFeedMetric(name="revenue")
+                    ],
+                    dimensions=[
+                        DataFeedDimension(name="category"),
+                        DataFeedDimension(name="city")
+                    ],
+                ),
+                ingestion_settings=DataFeedIngestionSettings(
+                    ingestion_begin_time=datetime.datetime(2019, 10, 1),
+                ),
+
+            )
+
+            self.assertIsNotNone(data_feed.id)
+            self.assertIsNotNone(data_feed.created_time)
+            self.assertIsNotNone(data_feed.name)
+            self.assertEqual(data_feed.source.data_source_type, "AzureTable")
+            self.assertIsNotNone(data_feed.source.connection_string)
+            self.assertEqual(data_feed.source.table, "adsample")
+            self.assertEqual(data_feed.source.query, "PartitionKey ge '@StartTime' and PartitionKey lt '@EndTime'")
+        finally:
+            self.admin_client.delete_data_feed(data_feed.id)
+
+    def test_create_data_feed_with_azure_blob(self):
+        name = self.create_random_name("blobfeed")
+        try:
+            data_feed = self.admin_client.create_data_feed(
+                name=name,
+                source=AzureBlobDataFeed(
+                    connection_string=self.azure_blob_connection_string,
+                    container="adsample",
+                    blob_template="%Y/%m/%d/%h/JsonFormatV2.json"
+                ),
+                granularity=DataFeedGranularity(
+                    granularity_type="Daily",
+                ),
+                schema=DataFeedSchema(
+                    metrics=[
+                        DataFeedMetric(name="cost"),
+                        DataFeedMetric(name="revenue")
+                    ],
+                    dimensions=[
+                        DataFeedDimension(name="category"),
+                        DataFeedDimension(name="city")
+                    ],
+                ),
+                ingestion_settings=DataFeedIngestionSettings(
+                    ingestion_begin_time=datetime.datetime(2019, 10, 1),
+                ),
+
+            )
+
+            self.assertIsNotNone(data_feed.id)
+            self.assertIsNotNone(data_feed.created_time)
+            self.assertIsNotNone(data_feed.name)
+            self.assertEqual(data_feed.source.data_source_type, "AzureBlob")
+            self.assertIsNotNone(data_feed.source.connection_string)
+            self.assertEqual(data_feed.source.container, "adsample")
+            self.assertEqual(data_feed.source.blob_template, "%Y/%m/%d/%h/JsonFormatV2.json")
+        finally:
+            self.admin_client.delete_data_feed(data_feed.id)
+
+    def test_create_data_feed_with_azure_cosmos_db(self):
+        name = self.create_random_name("cosmosfeed")
+        try:
+            data_feed = self.admin_client.create_data_feed(
+                name=name,
+                source=AzureCosmosDBDataFeed(
+                    connection_string=self.azure_cosmosdb_connection_string,
+                    sql_query="'SELECT * FROM Items I where I.Timestamp >= @StartTime and I.Timestamp < @EndTime'",
+                    database="adsample",
+                    collection_id="adsample"
+                ),
+                granularity=DataFeedGranularity(
+                    granularity_type="Daily",
+                ),
+                schema=DataFeedSchema(
+                    metrics=[
+                        DataFeedMetric(name="cost"),
+                        DataFeedMetric(name="revenue")
+                    ],
+                    dimensions=[
+                        DataFeedDimension(name="category"),
+                        DataFeedDimension(name="city")
+                    ],
+                ),
+                ingestion_settings=DataFeedIngestionSettings(
+                    ingestion_begin_time=datetime.datetime(2019, 10, 1),
+                ),
+
+            )
+
+            self.assertIsNotNone(data_feed.id)
+            self.assertIsNotNone(data_feed.created_time)
+            self.assertIsNotNone(data_feed.name)
+            self.assertEqual(data_feed.source.data_source_type, "AzureCosmosDB")
+            self.assertIsNotNone(data_feed.source.connection_string)
+            self.assertEqual(data_feed.source.database, "adsample")
+            self.assertEqual(data_feed.source.collection_id, "adsample")
+            self.assertEqual(data_feed.source.sql_query, "'SELECT * FROM Items I where I.Timestamp >= @StartTime and I.Timestamp < @EndTime'")
+        finally:
+            self.admin_client.delete_data_feed(data_feed.id)
+
+    def test_create_data_feed_with_http_request_get(self):
+        name = self.create_random_name("httprequestfeedget")
+        try:
+            data_feed = self.admin_client.create_data_feed(
+                name=name,
+                source=HttpRequestDataFeed(
+                    url=self.http_request_get_url,
+                    http_method="GET"
+                ),
+                granularity=DataFeedGranularity(
+                    granularity_type="Daily",
+                ),
+                schema=DataFeedSchema(
+                    metrics=[
+                        DataFeedMetric(name="cost"),
+                        DataFeedMetric(name="revenue")
+                    ],
+                    dimensions=[
+                        DataFeedDimension(name="category"),
+                        DataFeedDimension(name="city")
+                    ],
+                ),
+                ingestion_settings=DataFeedIngestionSettings(
+                    ingestion_begin_time=datetime.datetime(2019, 10, 1),
+                ),
+
+            )
+
+            self.assertIsNotNone(data_feed.id)
+            self.assertIsNotNone(data_feed.created_time)
+            self.assertIsNotNone(data_feed.name)
+            self.assertEqual(data_feed.source.data_source_type, "HttpRequest")
+            self.assertIsNotNone(data_feed.source.url)
+            self.assertEqual(data_feed.source.http_method, "GET")
+        finally:
+            self.admin_client.delete_data_feed(data_feed.id)
+
+    def test_create_data_feed_with_http_request_post(self):
+        name = self.create_random_name("httprequestfeedpost")
+        try:
+            data_feed = self.admin_client.create_data_feed(
+                name=name,
+                source=HttpRequestDataFeed(
+                    url=self.http_request_post_url,
+                    http_method="POST",
+                    payload="{'startTime': '@StartTime'}"
+                ),
+                granularity=DataFeedGranularity(
+                    granularity_type="Daily",
+                ),
+                schema=DataFeedSchema(
+                    metrics=[
+                        DataFeedMetric(name="cost"),
+                        DataFeedMetric(name="revenue")
+                    ],
+                    dimensions=[
+                        DataFeedDimension(name="category"),
+                        DataFeedDimension(name="city")
+                    ],
+                ),
+                ingestion_settings=DataFeedIngestionSettings(
+                    ingestion_begin_time=datetime.datetime(2019, 10, 1),
+                ),
+
+            )
+
+            self.assertIsNotNone(data_feed.id)
+            self.assertIsNotNone(data_feed.created_time)
+            self.assertIsNotNone(data_feed.name)
+            self.assertEqual(data_feed.source.data_source_type, "HttpRequest")
+            self.assertIsNotNone(data_feed.source.url)
+            self.assertEqual(data_feed.source.http_method, "POST")
+            self.assertEqual(data_feed.source.payload, "{'startTime': '@StartTime'}")
+        finally:
+            self.admin_client.delete_data_feed(data_feed.id)
+
+    def test_create_data_feed_with_application_insights(self):
+        name = self.create_random_name("applicationinsights")
+        try:
+            query = "let gran=60m; let starttime=datetime(@StartTime); let endtime=starttime + gran; requests | " \
+                "where timestamp >= starttime and timestamp < endtime | summarize request_count = count(), " \
+                "duration_avg_ms = avg(duration), duration_95th_ms = percentile(duration, 95), " \
+                "duration_max_ms = max(duration) by resultCode"
+            data_feed = self.admin_client.create_data_feed(
+                name=name,
+                source=AzureApplicationInsightsDataFeed(
+                    azure_cloud="Azure",
+                    application_id="3706fe8b-98f1-47c7-bf69-b73b6e53274d",
+                    api_key=self.application_insights_api_key,
+                    query=query
+                ),
+                granularity=DataFeedGranularity(
+                    granularity_type="Daily",
+                ),
+                schema=DataFeedSchema(
+                    metrics=[
+                        DataFeedMetric(name="cost"),
+                        DataFeedMetric(name="revenue")
+                    ],
+                    dimensions=[
+                        DataFeedDimension(name="category"),
+                        DataFeedDimension(name="city")
+                    ],
+                ),
+                ingestion_settings=DataFeedIngestionSettings(
+                    ingestion_begin_time=datetime.datetime(2020, 7, 1),
+                ),
+
+            )
+
+            self.assertIsNotNone(data_feed.id)
+            self.assertIsNotNone(data_feed.created_time)
+            self.assertIsNotNone(data_feed.name)
+            self.assertEqual(data_feed.source.data_source_type, "AzureApplicationInsights")
+            self.assertIsNotNone(data_feed.source.api_key)
+            self.assertEqual(data_feed.source.application_id, "3706fe8b-98f1-47c7-bf69-b73b6e53274d")
+            self.assertIsNotNone(data_feed.source.query)
+
+        finally:
+            self.admin_client.delete_data_feed(data_feed.id)
+
+    def test_create_data_feed_with_data_explorer(self):
+        name = self.create_random_name("azuredataexplorer")
+        try:
+            query = "let StartDateTime = datetime(@StartTime); let EndDateTime = StartDateTime + 1d; " \
+                    "adsample | where Timestamp >= StartDateTime and Timestamp < EndDateTime"
+            data_feed = self.admin_client.create_data_feed(
+                name=name,
+                source=AzureDataExplorerDataFeed(
+                    connection_string=self.azure_data_explorer_connection_string,
+                    query=query
+                ),
+                granularity=DataFeedGranularity(
+                    granularity_type="Daily",
+                ),
+                schema=DataFeedSchema(
+                    metrics=[
+                        DataFeedMetric(name="cost"),
+                        DataFeedMetric(name="revenue")
+                    ],
+                    dimensions=[
+                        DataFeedDimension(name="category"),
+                        DataFeedDimension(name="city")
+                    ],
+                ),
+                ingestion_settings=DataFeedIngestionSettings(
+                    ingestion_begin_time=datetime.datetime(2019, 1, 1),
+                ),
+
+            )
+
+            self.assertIsNotNone(data_feed.id)
+            self.assertIsNotNone(data_feed.created_time)
+            self.assertIsNotNone(data_feed.name)
+            self.assertEqual(data_feed.source.data_source_type, "AzureDataExplorer")
+            self.assertIsNotNone(data_feed.source.connection_string)
+            self.assertEqual(data_feed.source.query, query)
+
+        finally:
+            self.admin_client.delete_data_feed(data_feed.id)
+
+    def test_create_data_feed_with_influxdb(self):
+        name = self.create_random_name("influxdb")
+        try:
+            data_feed = self.admin_client.create_data_feed(
+                name=name,
+                source=InfluxDBDataFeed(
+                    connection_string=self.influxdb_connection_string,
+                    database="adsample",
+                    user_name="adreadonly",
+                    password=self.influxdb_password,
+                    query="'select * from adsample2 where Timestamp = @StartTime'"
+                ),
+                granularity=DataFeedGranularity(
+                    granularity_type="Daily",
+                ),
+                schema=DataFeedSchema(
+                    metrics=[
+                        DataFeedMetric(name="cost"),
+                        DataFeedMetric(name="revenue")
+                    ],
+                    dimensions=[
+                        DataFeedDimension(name="category"),
+                        DataFeedDimension(name="city")
+                    ],
+                ),
+                ingestion_settings=DataFeedIngestionSettings(
+                    ingestion_begin_time=datetime.datetime(2019, 1, 1),
+                ),
+
+            )
+
+            self.assertIsNotNone(data_feed.id)
+            self.assertIsNotNone(data_feed.created_time)
+            self.assertIsNotNone(data_feed.name)
+            self.assertEqual(data_feed.source.data_source_type, "InfluxDB")
+            self.assertIsNotNone(data_feed.source.connection_string)
+            self.assertIsNotNone(data_feed.source.query)
+            self.assertIsNotNone(data_feed.source.password)
+            self.assertEqual(data_feed.source.database, "adsample")
+            self.assertEqual(data_feed.source.user_name, "adreadonly")
+
+        finally:
+            self.admin_client.delete_data_feed(data_feed.id)
+
+    def test_create_data_feed_with_datalake(self):
+        name = self.create_random_name("datalake")
+        try:
+            data_feed = self.admin_client.create_data_feed(
+                name=name,
+                source=AzureDataLakeStorageGen2DataFeed(
+                    account_name="adsampledatalakegen2",
+                    account_key=self.azure_datalake_account_key,
+                    file_system_name="adsample",
+                    directory_template="%Y/%m/%d",
+                    file_template="adsample.json"
+                ),
+                granularity=DataFeedGranularity(
+                    granularity_type="Daily",
+                ),
+                schema=DataFeedSchema(
+                    metrics=[
+                        DataFeedMetric(name="cost", display_name="Cost"),
+                        DataFeedMetric(name="revenue", display_name="Revenue")
+                    ],
+                    dimensions=[
+                        DataFeedDimension(name="category", display_name="Category"),
+                        DataFeedDimension(name="city", display_name="City")
+                    ],
+                ),
+                ingestion_settings=DataFeedIngestionSettings(
+                    ingestion_begin_time=datetime.datetime(2019, 1, 1),
+                ),
+
+            )
+
+            self.assertIsNotNone(data_feed.id)
+            self.assertIsNotNone(data_feed.created_time)
+            self.assertIsNotNone(data_feed.name)
+            self.assertEqual(data_feed.source.data_source_type, "AzureDataLakeStorageGen2")
+            self.assertIsNotNone(data_feed.source.account_key)
+            self.assertEqual(data_feed.source.account_name, "adsampledatalakegen2")
+            self.assertEqual(data_feed.source.file_system_name, "adsample")
+            self.assertEqual(data_feed.source.directory_template, "%Y/%m/%d")
+            self.assertEqual(data_feed.source.file_template, "adsample.json")
+
+        finally:
+            self.admin_client.delete_data_feed(data_feed.id)
+
+    def test_create_data_feed_with_mongodb(self):
+        name = self.create_random_name("mongodb")
+        try:
+            data_feed = self.admin_client.create_data_feed(
+                name=name,
+                source=MongoDBDataFeed(
+                    connection_string=self.mongodb_connection_string,
+                    database="adsample",
+                    command='{"find": "adsample", "filter": { Timestamp: { $eq: @StartTime }} "batchSize": 2000,}'
+                ),
+                granularity=DataFeedGranularity(
+                    granularity_type="Daily",
+                ),
+                schema=DataFeedSchema(
+                    metrics=[
+                        DataFeedMetric(name="cost"),
+                        DataFeedMetric(name="revenue")
+                    ],
+                    dimensions=[
+                        DataFeedDimension(name="category"),
+                        DataFeedDimension(name="city")
+                    ],
+                ),
+                ingestion_settings=DataFeedIngestionSettings(
+                    ingestion_begin_time=datetime.datetime(2019, 1, 1),
+                ),
+
+            )
+
+            self.assertIsNotNone(data_feed.id)
+            self.assertIsNotNone(data_feed.created_time)
+            self.assertIsNotNone(data_feed.name)
+            self.assertEqual(data_feed.source.data_source_type, "MongoDB")
+            self.assertIsNotNone(data_feed.source.connection_string)
+            self.assertEqual(data_feed.source.database, "adsample")
+            self.assertEqual(data_feed.source.command, '{"find": "adsample", "filter": { Timestamp: { $eq: @StartTime }} "batchSize": 2000,}')
+
+        finally:
+            self.admin_client.delete_data_feed(data_feed.id)
+
+    def test_create_data_feed_with_mysql(self):
+        name = self.create_random_name("mysql")
+        try:
+            data_feed = self.admin_client.create_data_feed(
+                name=name,
+                source=MySqlDataFeed(
+                    connection_string=self.mysql_connection_string,
+                    query="'select * from adsample2 where Timestamp = @StartTime'"
+                ),
+                granularity=DataFeedGranularity(
+                    granularity_type="Daily",
+                ),
+                schema=DataFeedSchema(
+                    metrics=[
+                        DataFeedMetric(name="cost"),
+                        DataFeedMetric(name="revenue")
+                    ],
+                    dimensions=[
+                        DataFeedDimension(name="category"),
+                        DataFeedDimension(name="city")
+                    ],
+                ),
+                ingestion_settings=DataFeedIngestionSettings(
+                    ingestion_begin_time=datetime.datetime(2019, 1, 1),
+                ),
+
+            )
+
+            self.assertIsNotNone(data_feed.id)
+            self.assertIsNotNone(data_feed.created_time)
+            self.assertIsNotNone(data_feed.name)
+            self.assertEqual(data_feed.source.data_source_type, "MySql")
+            self.assertIsNotNone(data_feed.source.connection_string)
+            self.assertEqual(data_feed.source.query, "'select * from adsample2 where Timestamp = @StartTime'")
+
+        finally:
+            self.admin_client.delete_data_feed(data_feed.id)
+
+    def test_create_data_feed_with_postgresql(self):
+        name = self.create_random_name("postgresql")
+        try:
+            data_feed = self.admin_client.create_data_feed(
+                name=name,
+                source=PostgreSqlDataFeed(
+                    connection_string=self.postgresql_connection_string,
+                    query="'select * from adsample2 where Timestamp = @StartTime'"
+                ),
+                granularity=DataFeedGranularity(
+                    granularity_type="Daily",
+                ),
+                schema=DataFeedSchema(
+                    metrics=[
+                        DataFeedMetric(name="cost"),
+                        DataFeedMetric(name="revenue")
+                    ],
+                    dimensions=[
+                        DataFeedDimension(name="category"),
+                        DataFeedDimension(name="city")
+                    ],
+                ),
+                ingestion_settings=DataFeedIngestionSettings(
+                    ingestion_begin_time=datetime.datetime(2019, 1, 1),
+                ),
+
+            )
+
+            self.assertIsNotNone(data_feed.id)
+            self.assertIsNotNone(data_feed.created_time)
+            self.assertIsNotNone(data_feed.name)
+            self.assertEqual(data_feed.source.data_source_type, "PostgreSql")
+            self.assertIsNotNone(data_feed.source.connection_string)
+            self.assertEqual(data_feed.source.query, "'select * from adsample2 where Timestamp = @StartTime'")
+
+        finally:
+            self.admin_client.delete_data_feed(data_feed.id)
+
+    def test_create_data_feed_with_elasticsearch(self):
+        name = self.create_random_name("elastic")
+        try:
+            data_feed = self.admin_client.create_data_feed(
+                name=name,
+                source=ElasticsearchDataFeed(
+                    host="ad-sample-es.westus2.cloudapp.azure.com",
+                    port="9200",
+                    auth_header=self.elasticsearch_auth_header,
+                    query="'select * from adsample where timestamp = @StartTime'"
+                ),
+                granularity=DataFeedGranularity(
+                    granularity_type="Daily",
+                ),
+                schema=DataFeedSchema(
+                    metrics=[
+                        DataFeedMetric(name="cost", display_name="Cost"),
+                        DataFeedMetric(name="revenue", display_name="Revenue")
+                    ],
+                    dimensions=[
+                        DataFeedDimension(name="category", display_name="Category"),
+                        DataFeedDimension(name="city", display_name="City")
+                    ],
+                ),
+                ingestion_settings=DataFeedIngestionSettings(
+                    ingestion_begin_time=datetime.datetime(2019, 1, 1),
+                ),
+
+            )
+
+            self.assertIsNotNone(data_feed.id)
+            self.assertIsNotNone(data_feed.created_time)
+            self.assertIsNotNone(data_feed.name)
+            self.assertEqual(data_feed.source.data_source_type, "Elasticsearch")
+            self.assertIsNotNone(data_feed.source.auth_header)
+            self.assertEqual(data_feed.source.port, "9200")
+            self.assertEqual(data_feed.source.host, "ad-sample-es.westus2.cloudapp.azure.com")
+            self.assertEqual(data_feed.source.query, "'select * from adsample where timestamp = @StartTime'")
+
+        finally:
+            self.admin_client.delete_data_feed(data_feed.id)
+
+    def test_list_data_feeds(self):
+        feeds = self.admin_client.list_data_feeds()
+        assert len(list(feeds)) > 0
+
+    def test_list_data_feeds_with_data_feed_name(self):
+        feeds = self.admin_client.list_data_feeds(data_feed_name="azsqlDatafeed")
+        feed_list = list(feeds)
+        assert len(feed_list) == 1
+
+    def test_list_data_feeds_with_skip(self):
+        all_feeds = self.admin_client.list_data_feeds()
+        skipped_feeds = self.admin_client.list_data_feeds(skip=1)
+        all_feeds_list = list(all_feeds)
+        skipped_feeds_list = list(skipped_feeds)
+        assert len(all_feeds_list) == len(skipped_feeds_list) + 1
+
+    def test_list_data_feeds_with_status(self):
+        feeds = self.admin_client.list_data_feeds(status="Paused")
+        assert len(list(feeds)) == 0
+
+    def test_list_data_feeds_with_source_type(self):
+        feeds = self.admin_client.list_data_feeds(data_source_type="SqlServer")
+        assert len(list(feeds)) > 0
+
+    def test_list_data_feeds_with_granularity_type(self):
+        feeds = self.admin_client.list_data_feeds(granularity_type="Daily")
+        assert len(list(feeds)) > 0
+
+    def test_update_data_feed_with_model(self):
+        data_feed = self._create_data_feed_for_update("update")
+        try:
+            data_feed.name = "update"
+            data_feed.options.data_feed_description = "updated"
+            data_feed.schema.timestamp_column = "time"
+            data_feed.ingestion_settings.ingestion_begin_time = datetime.datetime(2020, 12, 10)
+            data_feed.ingestion_settings.ingestion_start_offset = 1
+            data_feed.ingestion_settings.data_source_request_concurrency = 1
+            data_feed.ingestion_settings.ingestion_retry_delay = 1
+            data_feed.ingestion_settings.stop_retry_after = 1
+            data_feed.options.rollup_settings.rollup_type = "AlreadyRollup"
+            data_feed.options.rollup_settings.rollup_method = "Sum"
+            data_feed.options.rollup_settings.rollup_identification_value = "sumrollup"
+            data_feed.options.rollup_settings.auto_rollup_group_by_column_names = []
+            data_feed.options.missing_data_point_fill_settings.fill_type = "CustomValue"
+            data_feed.options.missing_data_point_fill_settings.custom_fill_value = 2
+            data_feed.options.access_mode = "Public"
+            data_feed.options.viewer_emails = ["updated"]
+            data_feed.status = "Paused"
+            data_feed.options.action_link_template = "updated"
+            data_feed.source.connection_string = "updated"
+            data_feed.source.query = "get data"
+
+            updated = self.admin_client.update_data_feed(data_feed)
+            self.assertEqual(updated.name, "update")
+            self.assertEqual(updated.options.data_feed_description, "updated")
+            self.assertEqual(updated.schema.timestamp_column, "time")
+            self.assertEqual(updated.ingestion_settings.ingestion_begin_time,
+                             datetime.datetime(2020, 12, 10, tzinfo=tzutc()))
+            self.assertEqual(updated.ingestion_settings.ingestion_start_offset, 1)
+            self.assertEqual(updated.ingestion_settings.data_source_request_concurrency, 1)
+            self.assertEqual(updated.ingestion_settings.ingestion_retry_delay, 1)
+            self.assertEqual(updated.ingestion_settings.stop_retry_after, 1)
+            self.assertEqual(updated.options.rollup_settings.rollup_type, "AlreadyRollup")
+            self.assertEqual(updated.options.rollup_settings.rollup_method, "Sum")
+            self.assertEqual(updated.options.rollup_settings.rollup_identification_value, "sumrollup")
+            self.assertEqual(updated.options.rollup_settings.auto_rollup_group_by_column_names, [])
+            self.assertEqual(updated.options.missing_data_point_fill_settings.fill_type, "CustomValue")
+            self.assertEqual(updated.options.missing_data_point_fill_settings.custom_fill_value, 2)
+            self.assertEqual(updated.options.access_mode, "Public")
+            self.assertEqual(updated.options.viewer_emails, ["updated"])
+            self.assertEqual(updated.status, "Paused")
+            self.assertEqual(updated.options.action_link_template, "updated")
+            self.assertEqual(updated.source.connection_string, "updated")
+            self.assertEqual(updated.source.query, "get data")
+
+        finally:
+            self.admin_client.delete_data_feed(data_feed.id)
+
+    def test_update_data_feed_with_kwargs(self):
+
+        data_feed = self._create_data_feed_for_update("update")
+        try:
+            updated = self.admin_client.update_data_feed(
+                data_feed.id,
+                name="update",
+                data_feed_description="updated",
+                timestamp_column="time",
+                ingestion_begin_time=datetime.datetime(2020, 12, 10),
+                ingestion_start_offset=1,
+                data_source_request_concurrency=1,
+                ingestion_retry_delay=1,
+                stop_retry_after=1,
+                rollup_type="AlreadyRollup",
+                rollup_method="Sum",
+                rollup_identification_value="sumrollup",
+                auto_rollup_group_by_column_names=[],
+                fill_type="CustomValue",
+                custom_fill_value=2,
+                access_mode="Public",
+                viewer_emails=["updated"],
+                status="Paused",
+                action_link_template="updated",
+                source=SQLServerDataFeed(
+                    connection_string="updated",
+                    query="get data"
+                )
+            )
+            self.assertEqual(updated.name, "update")
+            self.assertEqual(updated.options.data_feed_description, "updated")
+            self.assertEqual(updated.schema.timestamp_column, "time")
+            self.assertEqual(updated.ingestion_settings.ingestion_begin_time,
+                             datetime.datetime(2020, 12, 10, tzinfo=tzutc()))
+            self.assertEqual(updated.ingestion_settings.ingestion_start_offset, 1)
+            self.assertEqual(updated.ingestion_settings.data_source_request_concurrency, 1)
+            self.assertEqual(updated.ingestion_settings.ingestion_retry_delay, 1)
+            self.assertEqual(updated.ingestion_settings.stop_retry_after, 1)
+            self.assertEqual(updated.options.rollup_settings.rollup_type, "AlreadyRollup")
+            self.assertEqual(updated.options.rollup_settings.rollup_method, "Sum")
+            self.assertEqual(updated.options.rollup_settings.rollup_identification_value, "sumrollup")
+            self.assertEqual(updated.options.rollup_settings.auto_rollup_group_by_column_names, [])
+            self.assertEqual(updated.options.missing_data_point_fill_settings.fill_type, "CustomValue")
+            self.assertEqual(updated.options.missing_data_point_fill_settings.custom_fill_value, 2)
+            self.assertEqual(updated.options.access_mode, "Public")
+            self.assertEqual(updated.options.viewer_emails, ["updated"])
+            self.assertEqual(updated.status, "Paused")
+            self.assertEqual(updated.options.action_link_template, "updated")
+            self.assertEqual(updated.source.connection_string, "updated")
+            self.assertEqual(updated.source.query, "get data")
+
+        finally:
+            self.admin_client.delete_data_feed(data_feed.id)
+
+    def test_update_data_feed_with_model_and_kwargs(self):
+
+        data_feed = self._create_data_feed_for_update("update")
+        try:
+            data_feed.name = "updateMe"
+            data_feed.options.data_feed_description = "updateMe"
+            data_feed.schema.timestamp_column = "don't update me"
+            data_feed.ingestion_settings.ingestion_begin_time = datetime.datetime(2020, 12, 22)
+            data_feed.ingestion_settings.ingestion_start_offset = 2
+            data_feed.ingestion_settings.data_source_request_concurrency = 2
+            data_feed.ingestion_settings.ingestion_retry_delay = 2
+            data_feed.ingestion_settings.stop_retry_after = 2
+            data_feed.options.rollup_settings.rollup_type = "don't update me"
+            data_feed.options.rollup_settings.rollup_method = "don't update me"
+            data_feed.options.rollup_settings.rollup_identification_value = "don't update me"
+            data_feed.options.rollup_settings.auto_rollup_group_by_column_names = []
+            data_feed.options.missing_data_point_fill_settings.fill_type = "don't update me"
+            data_feed.options.missing_data_point_fill_settings.custom_fill_value = 4
+            data_feed.options.access_mode = "don't update me"
+            data_feed.options.viewer_emails = ["don't update me"]
+            data_feed.status = "don't update me"
+            data_feed.options.action_link_template = "don't update me"
+            data_feed.source.connection_string = "don't update me"
+            data_feed.source.query = "don't update me"
+
+            updated = self.admin_client.update_data_feed(
+                data_feed,
+                timestamp_column="time",
+                ingestion_begin_time=datetime.datetime(2020, 12, 10),
+                ingestion_start_offset=1,
+                data_source_request_concurrency=1,
+                ingestion_retry_delay=1,
+                stop_retry_after=1,
+                rollup_type="AlreadyRollup",
+                rollup_method="Sum",
+                rollup_identification_value="sumrollup",
+                auto_rollup_group_by_column_names=[],
+                fill_type="CustomValue",
+                custom_fill_value=2,
+                access_mode="Public",
+                viewer_emails=["updated"],
+                status="Paused",
+                action_link_template="updated",
+                source=SQLServerDataFeed(
+                    connection_string="updated",
+                    query="get data"
+                )
+            )
+            self.assertEqual(updated.name, "updateMe")
+            self.assertEqual(updated.options.data_feed_description, "updateMe")
+            self.assertEqual(updated.schema.timestamp_column, "time")
+            self.assertEqual(updated.ingestion_settings.ingestion_begin_time,
+                             datetime.datetime(2020, 12, 10, tzinfo=tzutc()))
+            self.assertEqual(updated.ingestion_settings.ingestion_start_offset, 1)
+            self.assertEqual(updated.ingestion_settings.data_source_request_concurrency, 1)
+            self.assertEqual(updated.ingestion_settings.ingestion_retry_delay, 1)
+            self.assertEqual(updated.ingestion_settings.stop_retry_after, 1)
+            self.assertEqual(updated.options.rollup_settings.rollup_type, "AlreadyRollup")
+            self.assertEqual(updated.options.rollup_settings.rollup_method, "Sum")
+            self.assertEqual(updated.options.rollup_settings.rollup_identification_value, "sumrollup")
+            self.assertEqual(updated.options.rollup_settings.auto_rollup_group_by_column_names, [])
+            self.assertEqual(updated.options.missing_data_point_fill_settings.fill_type, "CustomValue")
+            self.assertEqual(updated.options.missing_data_point_fill_settings.custom_fill_value, 2)
+            self.assertEqual(updated.options.access_mode, "Public")
+            self.assertEqual(updated.options.viewer_emails, ["updated"])
+            self.assertEqual(updated.status, "Paused")
+            self.assertEqual(updated.options.action_link_template, "updated")
+            self.assertEqual(updated.source.connection_string, "updated")
+            self.assertEqual(updated.source.query, "get data")
+
+        finally:
+            self.admin_client.delete_data_feed(data_feed.id)
+
+    def test_update_data_feed_by_reseting_properties(self):
+
+        data_feed = self._create_data_feed_for_update("update")
+        try:
+            updated = self.admin_client.update_data_feed(
+                data_feed.id,
+                name="update",
+                data_feed_description=None,
+                timestamp_column=None,
+                ingestion_start_offset=None,
+                data_source_request_concurrency=None,
+                ingestion_retry_delay=None,
+                stop_retry_after=None,
+                rollup_type=None,
+                rollup_method=None,
+                rollup_identification_value=None,
+                auto_rollup_group_by_column_names=None,
+                fill_type=None,
+                custom_fill_value=None,
+                access_mode=None,
+                viewer_emails=None,
+                status=None,
+                action_link_template=None,
+            )
+            self.assertEqual(updated.name, "update")
+            # self.assertEqual(updated.options.data_feed_description, "")  # doesn't currently clear
+            # self.assertEqual(updated.schema.timestamp_column, "")  # doesn't currently clear
+            self.assertEqual(updated.ingestion_settings.ingestion_begin_time,
+                             datetime.datetime(2019, 10, 1, tzinfo=tzutc()))
+            self.assertEqual(updated.ingestion_settings.ingestion_start_offset, -1)
+            self.assertEqual(updated.ingestion_settings.data_source_request_concurrency, 0)
+            self.assertEqual(updated.ingestion_settings.ingestion_retry_delay, -1)
+            self.assertEqual(updated.ingestion_settings.stop_retry_after, -1)
+            self.assertEqual(updated.options.rollup_settings.rollup_type, "NoRollup")
+            self.assertEqual(updated.options.rollup_settings.rollup_method, "None")
+            self.assertEqual(updated.options.rollup_settings.rollup_identification_value, None)
+            self.assertEqual(updated.options.rollup_settings.auto_rollup_group_by_column_names, [])
+            self.assertEqual(updated.options.missing_data_point_fill_settings.fill_type, "SmartFilling")
+            self.assertEqual(updated.options.missing_data_point_fill_settings.custom_fill_value, 0)
+            self.assertEqual(updated.options.access_mode, "Private")
+            # self.assertEqual(updated.options.viewer_emails, ["viewers"]) # doesn't currently clear
+            self.assertEqual(updated.status, "Active")
+            # self.assertEqual(updated.options.action_link_template, "updated")  # doesn't currently clear
+
+        finally:
+            self.admin_client.delete_data_feed(data_feed.id)
diff --git a/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/test_detection_config_aad.py b/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/test_detection_config_aad.py
new file mode 100644
index 000000000000..fa928268fdb6
--- /dev/null
+++ b/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/test_detection_config_aad.py
@@ -0,0 +1,806 @@
+# coding=utf-8
+# -------------------------------------------------------------------------
+# Copyright (c) Microsoft Corporation. All rights reserved.
+# Licensed under the MIT License. See License.txt in the project root for
+# license information.
+# --------------------------------------------------------------------------
+
+import pytest
+from azure.core.exceptions import ResourceNotFoundError
+
+from azure.ai.metricsadvisor.models import (
+    MetricDetectionCondition,
+    MetricSeriesGroupDetectionCondition,
+    MetricSingleSeriesDetectionCondition,
+    SmartDetectionCondition,
+    SuppressCondition,
+    ChangeThresholdCondition,
+    HardThresholdCondition,
+)
+from base_testcase_aad import TestMetricsAdvisorAdministrationClientBase
+
+
+class TestMetricsAdvisorAdministrationClient(TestMetricsAdvisorAdministrationClientBase):
+
+    def test_create_ad_config_whole_series_detection(self):
+
+        data_feed = self._create_data_feed("adconfig")
+        try:
+            detection_config_name = self.create_random_name("testdetectionconfig")
+            config = self.admin_client.create_detection_configuration(
+                name=detection_config_name,
+                metric_id=data_feed.metric_ids[0],
+                description="My test metric anomaly detection configuration",
+                whole_series_detection_condition=MetricDetectionCondition(
+                    cross_conditions_operator="OR",
+                    smart_detection_condition=SmartDetectionCondition(
+                        sensitivity=50,
+                        anomaly_detector_direction="Both",
+                        suppress_condition=SuppressCondition(
+                            min_number=50,
+                            min_ratio=50
+                        )
+                    ),
+                    hard_threshold_condition=HardThresholdCondition(
+                        anomaly_detector_direction="Both",
+                        suppress_condition=SuppressCondition(
+                            min_number=5,
+                            min_ratio=5
+                        ),
+                        lower_bound=0,
+                        upper_bound=100
+                    ),
+                    change_threshold_condition=ChangeThresholdCondition(
+                        change_percentage=50,
+                        shift_point=30,
+                        within_range=True,
+                        anomaly_detector_direction="Both",
+                        suppress_condition=SuppressCondition(
+                            min_number=2,
+                            min_ratio=2
+                        )
+                    )
+                )
+            )
+            self.assertIsNotNone(config.id)
+            self.assertEqual(config.metric_id, data_feed.metric_ids[0])
+            self.assertEqual(config.description, "My test metric anomaly detection configuration")
+            self.assertIsNotNone(config.name)
+            self.assertIsNone(config.series_detection_conditions)
+            self.assertIsNone(config.series_group_detection_conditions)
+            self.assertEqual(config.whole_series_detection_condition.cross_conditions_operator, "OR")
+            self.assertEqual(
+                config.whole_series_detection_condition.change_threshold_condition.anomaly_detector_direction, "Both")
+            self.assertEqual(config.whole_series_detection_condition.change_threshold_condition.change_percentage, 50)
+            self.assertEqual(config.whole_series_detection_condition.change_threshold_condition.shift_point, 30)
+            self.assertTrue(config.whole_series_detection_condition.change_threshold_condition.within_range)
+            self.assertEqual(
+                config.whole_series_detection_condition.change_threshold_condition.suppress_condition.min_number, 2)
+            self.assertEqual(
+                config.whole_series_detection_condition.change_threshold_condition.suppress_condition.min_ratio, 2)
+            self.assertEqual(
+                config.whole_series_detection_condition.hard_threshold_condition.anomaly_detector_direction, "Both")
+            self.assertEqual(config.whole_series_detection_condition.hard_threshold_condition.lower_bound, 0)
+            self.assertEqual(config.whole_series_detection_condition.hard_threshold_condition.upper_bound, 100)
+            self.assertEqual(
+                config.whole_series_detection_condition.hard_threshold_condition.suppress_condition.min_number, 5)
+            self.assertEqual(
+                config.whole_series_detection_condition.hard_threshold_condition.suppress_condition.min_ratio, 5)
+            self.assertEqual(
+                config.whole_series_detection_condition.smart_detection_condition.anomaly_detector_direction, "Both")
+            self.assertEqual(config.whole_series_detection_condition.smart_detection_condition.sensitivity, 50)
+            self.assertEqual(
+                config.whole_series_detection_condition.smart_detection_condition.suppress_condition.min_number, 50)
+            self.assertEqual(
+                config.whole_series_detection_condition.smart_detection_condition.suppress_condition.min_ratio, 50)
+
+            self.admin_client.delete_detection_configuration(config.id)
+
+            with self.assertRaises(ResourceNotFoundError):
+                self.admin_client.get_detection_configuration(config.id)
+        finally:
+            self.admin_client.delete_data_feed(data_feed.id)
+
+    def test_create_ad_config_with_series_and_group_conds(self):
+        data_feed = self._create_data_feed("adconfigget")
+        try:
+            detection_config_name = self.create_random_name("testdetectionconfiget")
+            detection_config = self.admin_client.create_detection_configuration(
+                name=detection_config_name,
+                metric_id=data_feed.metric_ids[0],
+                description="My test metric anomaly detection configuration",
+                whole_series_detection_condition=MetricDetectionCondition(
+                    cross_conditions_operator="AND",
+                    smart_detection_condition=SmartDetectionCondition(
+                        sensitivity=50,
+                        anomaly_detector_direction="Both",
+                        suppress_condition=SuppressCondition(
+                            min_number=50,
+                            min_ratio=50
+                        )
+                    ),
+                    hard_threshold_condition=HardThresholdCondition(
+                        anomaly_detector_direction="Both",
+                        suppress_condition=SuppressCondition(
+                            min_number=5,
+                            min_ratio=5
+                        ),
+                        lower_bound=0,
+                        upper_bound=100
+                    ),
+                    change_threshold_condition=ChangeThresholdCondition(
+                        change_percentage=50,
+                        shift_point=30,
+                        within_range=True,
+                        anomaly_detector_direction="Both",
+                        suppress_condition=SuppressCondition(
+                            min_number=2,
+                            min_ratio=2
+                        )
+                    )
+                ),
+                series_detection_conditions=[MetricSingleSeriesDetectionCondition(
+                    series_key={"city": "Shenzhen", "category": "Jewelry"},
+                    smart_detection_condition=SmartDetectionCondition(
+                        anomaly_detector_direction="Both",
+                        sensitivity=63,
+                        suppress_condition=SuppressCondition(
+                            min_number=1,
+                            min_ratio=100
+                        )
+                    )
+                )],
+                series_group_detection_conditions=[MetricSeriesGroupDetectionCondition(
+                    series_group_key={"city": "Sao Paulo"},
+                    smart_detection_condition=SmartDetectionCondition(
+                        anomaly_detector_direction="Both",
+                        sensitivity=63,
+                        suppress_condition=SuppressCondition(
+                            min_number=1,
+                            min_ratio=100
+                        )
+                    )
+                )]
+            )
+
+            self.assertIsNotNone(detection_config.id)
+            self.assertEqual(detection_config.metric_id, data_feed.metric_ids[0])
+            self.assertEqual(detection_config.description, "My test metric anomaly detection configuration")
+            self.assertIsNotNone(detection_config.name)
+            self.assertEqual(detection_config.whole_series_detection_condition.cross_conditions_operator, "AND")
+            self.assertEqual(
+                detection_config.whole_series_detection_condition.change_threshold_condition.anomaly_detector_direction, "Both")
+            self.assertEqual(detection_config.whole_series_detection_condition.change_threshold_condition.change_percentage, 50)
+            self.assertEqual(detection_config.whole_series_detection_condition.change_threshold_condition.shift_point, 30)
+            self.assertTrue(detection_config.whole_series_detection_condition.change_threshold_condition.within_range)
+            self.assertEqual(
+                detection_config.whole_series_detection_condition.change_threshold_condition.suppress_condition.min_number, 2)
+            self.assertEqual(
+                detection_config.whole_series_detection_condition.change_threshold_condition.suppress_condition.min_ratio, 2)
+            self.assertEqual(
+                detection_config.whole_series_detection_condition.hard_threshold_condition.anomaly_detector_direction, "Both")
+            self.assertEqual(detection_config.whole_series_detection_condition.hard_threshold_condition.lower_bound, 0)
+            self.assertEqual(detection_config.whole_series_detection_condition.hard_threshold_condition.upper_bound, 100)
+            self.assertEqual(
+                detection_config.whole_series_detection_condition.hard_threshold_condition.suppress_condition.min_number, 5)
+            self.assertEqual(
+                detection_config.whole_series_detection_condition.hard_threshold_condition.suppress_condition.min_ratio, 5)
+            self.assertEqual(
+                detection_config.whole_series_detection_condition.smart_detection_condition.anomaly_detector_direction, "Both")
+            self.assertEqual(detection_config.whole_series_detection_condition.smart_detection_condition.sensitivity, 50)
+            self.assertEqual(
+                detection_config.whole_series_detection_condition.smart_detection_condition.suppress_condition.min_number, 50)
+            self.assertEqual(
+                detection_config.whole_series_detection_condition.smart_detection_condition.suppress_condition.min_ratio, 50)
+            self.assertEqual(
+                detection_config.series_detection_conditions[0].smart_detection_condition.suppress_condition.min_ratio, 100)
+            self.assertEqual(
+                detection_config.series_detection_conditions[0].smart_detection_condition.suppress_condition.min_number, 1)
+            self.assertEqual(
+                detection_config.series_detection_conditions[0].smart_detection_condition.sensitivity, 63)
+            self.assertEqual(
+                detection_config.series_detection_conditions[0].smart_detection_condition.anomaly_detector_direction, "Both")
+            self.assertEqual(
+                detection_config.series_detection_conditions[0].series_key, {'city': 'Shenzhen', 'category': 'Jewelry'})
+            self.assertEqual(
+                detection_config.series_group_detection_conditions[0].smart_detection_condition.suppress_condition.min_ratio, 100)
+            self.assertEqual(
+                detection_config.series_group_detection_conditions[0].smart_detection_condition.suppress_condition.min_number, 1)
+            self.assertEqual(
+                detection_config.series_group_detection_conditions[0].smart_detection_condition.sensitivity, 63)
+            self.assertEqual(
+                detection_config.series_group_detection_conditions[0].smart_detection_condition.anomaly_detector_direction, "Both")
+            self.assertEqual(
+                detection_config.series_group_detection_conditions[0].series_group_key, {'city': 'Sao Paulo'})
+
+        finally:
+            self.admin_client.delete_data_feed(data_feed.id)
+
+    def test_create_ad_config_multiple_series_and_group_conds(self):
+        data_feed = self._create_data_feed("datafeedforconfig")
+        try:
+            detection_config_name = self.create_random_name("multipledetectionconfigs")
+            detection_config = self.admin_client.create_detection_configuration(
+                name=detection_config_name,
+                metric_id=data_feed.metric_ids[0],
+                description="My test metric anomaly detection configuration",
+                whole_series_detection_condition=MetricDetectionCondition(
+                    cross_conditions_operator="AND",
+                    smart_detection_condition=SmartDetectionCondition(
+                        sensitivity=50,
+                        anomaly_detector_direction="Both",
+                        suppress_condition=SuppressCondition(
+                            min_number=50,
+                            min_ratio=50
+                        )
+                    ),
+                    hard_threshold_condition=HardThresholdCondition(
+                        anomaly_detector_direction="Both",
+                        suppress_condition=SuppressCondition(
+                            min_number=5,
+                            min_ratio=5
+                        ),
+                        lower_bound=0,
+                        upper_bound=100
+                    ),
+                    change_threshold_condition=ChangeThresholdCondition(
+                        change_percentage=50,
+                        shift_point=30,
+                        within_range=True,
+                        anomaly_detector_direction="Both",
+                        suppress_condition=SuppressCondition(
+                            min_number=2,
+                            min_ratio=2
+                        )
+                    )
+                ),
+                series_detection_conditions=[
+                    MetricSingleSeriesDetectionCondition(
+                        series_key={"city": "Shenzhen", "category": "Jewelry"},
+                        cross_conditions_operator="AND",
+                        smart_detection_condition=SmartDetectionCondition(
+                            anomaly_detector_direction="Both",
+                            sensitivity=63,
+                            suppress_condition=SuppressCondition(
+                                min_number=1,
+                                min_ratio=100
+                            )
+                        ),
+                        hard_threshold_condition=HardThresholdCondition(
+                            anomaly_detector_direction="Both",
+                            suppress_condition=SuppressCondition(
+                                min_number=5,
+                                min_ratio=5
+                            ),
+                            lower_bound=0,
+                            upper_bound=100
+                        ),
+                        change_threshold_condition=ChangeThresholdCondition(
+                            change_percentage=50,
+                            shift_point=30,
+                            within_range=True,
+                            anomaly_detector_direction="Both",
+                            suppress_condition=SuppressCondition(
+                                min_number=2,
+                                min_ratio=2
+                            )
+                        )
+                    ),
+                    MetricSingleSeriesDetectionCondition(
+                        series_key={"city": "Osaka", "category": "Cell Phones"},
+                        cross_conditions_operator="AND",
+                        smart_detection_condition=SmartDetectionCondition(
+                            anomaly_detector_direction="Both",
+                            sensitivity=63,
+                            suppress_condition=SuppressCondition(
+                                min_number=1,
+                                min_ratio=100
+                            )
+                        )
+                    )
+                ],
+                series_group_detection_conditions=[
+                    MetricSeriesGroupDetectionCondition(
+                        series_group_key={"city": "Sao Paulo"},
+                        cross_conditions_operator="AND",
+                        smart_detection_condition=SmartDetectionCondition(
+                            anomaly_detector_direction="Both",
+                            sensitivity=63,
+                            suppress_condition=SuppressCondition(
+                                min_number=1,
+                                min_ratio=100
+                            )
+                        ),
+                        hard_threshold_condition=HardThresholdCondition(
+                            anomaly_detector_direction="Both",
+                            suppress_condition=SuppressCondition(
+                                min_number=5,
+                                min_ratio=5
+                            ),
+                            lower_bound=0,
+                            upper_bound=100
+                        ),
+                        change_threshold_condition=ChangeThresholdCondition(
+                            change_percentage=50,
+                            shift_point=30,
+                            within_range=True,
+                            anomaly_detector_direction="Both",
+                            suppress_condition=SuppressCondition(
+                                min_number=2,
+                                min_ratio=2
+                            )
+                        )
+                    ),
+                    MetricSeriesGroupDetectionCondition(
+                        series_group_key={"city": "Seoul"},
+                        cross_conditions_operator="AND",
+                        smart_detection_condition=SmartDetectionCondition(
+                            anomaly_detector_direction="Both",
+                            sensitivity=63,
+                            suppress_condition=SuppressCondition(
+                                min_number=1,
+                                min_ratio=100
+                            )
+                        )
+                    )
+                ]
+            )
+
+            self.assertIsNotNone(detection_config.id)
+            self.assertEqual(detection_config.metric_id, data_feed.metric_ids[0])
+            self.assertEqual(detection_config.description, "My test metric anomaly detection configuration")
+            self.assertIsNotNone(detection_config.name)
+
+            # whole series detection condition
+            self.assertEqual(detection_config.whole_series_detection_condition.cross_conditions_operator, "AND")
+            self.assertEqual(
+                detection_config.whole_series_detection_condition.change_threshold_condition.anomaly_detector_direction, "Both")
+            self.assertEqual(detection_config.whole_series_detection_condition.change_threshold_condition.change_percentage, 50)
+            self.assertEqual(detection_config.whole_series_detection_condition.change_threshold_condition.shift_point, 30)
+            self.assertTrue(detection_config.whole_series_detection_condition.change_threshold_condition.within_range)
+            self.assertEqual(
+                detection_config.whole_series_detection_condition.change_threshold_condition.suppress_condition.min_number, 2)
+            self.assertEqual(
+                detection_config.whole_series_detection_condition.change_threshold_condition.suppress_condition.min_ratio, 2)
+            self.assertEqual(
+                detection_config.whole_series_detection_condition.hard_threshold_condition.anomaly_detector_direction, "Both")
+            self.assertEqual(detection_config.whole_series_detection_condition.hard_threshold_condition.lower_bound, 0)
+            self.assertEqual(detection_config.whole_series_detection_condition.hard_threshold_condition.upper_bound, 100)
+            self.assertEqual(
+                detection_config.whole_series_detection_condition.hard_threshold_condition.suppress_condition.min_number, 5)
+            self.assertEqual(
+                detection_config.whole_series_detection_condition.hard_threshold_condition.suppress_condition.min_ratio, 5)
+            self.assertEqual(
+                detection_config.whole_series_detection_condition.smart_detection_condition.anomaly_detector_direction, "Both")
+            self.assertEqual(detection_config.whole_series_detection_condition.smart_detection_condition.sensitivity, 50)
+            self.assertEqual(
+                detection_config.whole_series_detection_condition.smart_detection_condition.suppress_condition.min_number, 50)
+            self.assertEqual(
+                detection_config.whole_series_detection_condition.smart_detection_condition.suppress_condition.min_ratio, 50)
+
+            # series detection conditions
+            self.assertEqual(
+                detection_config.series_detection_conditions[0].series_key, {'city': 'Shenzhen', 'category': 'Jewelry'})
+            self.assertEqual(detection_config.series_detection_conditions[0].cross_conditions_operator, "AND")
+            self.assertEqual(
+                detection_config.series_detection_conditions[0].smart_detection_condition.suppress_condition.min_ratio, 100)
+            self.assertEqual(
+                detection_config.series_detection_conditions[0].smart_detection_condition.suppress_condition.min_number, 1)
+            self.assertEqual(
+                detection_config.series_detection_conditions[0].smart_detection_condition.sensitivity, 63)
+            self.assertEqual(
+                detection_config.series_detection_conditions[0].smart_detection_condition.anomaly_detector_direction, "Both")
+            self.assertEqual(
+                detection_config.series_detection_conditions[0].change_threshold_condition.anomaly_detector_direction, "Both")
+            self.assertEqual(detection_config.series_detection_conditions[0].change_threshold_condition.change_percentage, 50)
+            self.assertEqual(detection_config.series_detection_conditions[0].change_threshold_condition.shift_point, 30)
+            self.assertTrue(detection_config.series_detection_conditions[0].change_threshold_condition.within_range)
+            self.assertEqual(
+                detection_config.series_detection_conditions[0].change_threshold_condition.suppress_condition.min_number, 2)
+            self.assertEqual(
+                detection_config.series_detection_conditions[0].change_threshold_condition.suppress_condition.min_ratio, 2)
+            self.assertEqual(
+                detection_config.series_detection_conditions[0].hard_threshold_condition.anomaly_detector_direction, "Both")
+            self.assertEqual(detection_config.series_detection_conditions[0].hard_threshold_condition.lower_bound, 0)
+            self.assertEqual(detection_config.series_detection_conditions[0].hard_threshold_condition.upper_bound, 100)
+            self.assertEqual(
+                detection_config.series_detection_conditions[0].hard_threshold_condition.suppress_condition.min_number, 5)
+            self.assertEqual(
+                detection_config.series_detection_conditions[0].hard_threshold_condition.suppress_condition.min_ratio, 5)
+            self.assertEqual(
+                detection_config.series_detection_conditions[1].series_key, {"city": "Osaka", "category": "Cell Phones"})
+            self.assertEqual(
+                detection_config.series_detection_conditions[1].smart_detection_condition.suppress_condition.min_ratio, 100)
+            self.assertEqual(
+                detection_config.series_detection_conditions[1].smart_detection_condition.suppress_condition.min_number, 1)
+            self.assertEqual(
+                detection_config.series_detection_conditions[1].smart_detection_condition.sensitivity, 63)
+            self.assertEqual(
+                detection_config.series_detection_conditions[1].smart_detection_condition.anomaly_detector_direction, "Both")
+
+            # series group detection conditions
+            self.assertEqual(
+                detection_config.series_group_detection_conditions[0].series_group_key, {"city": "Sao Paulo"})
+            self.assertEqual(detection_config.series_group_detection_conditions[0].cross_conditions_operator, "AND")
+            self.assertEqual(
+                detection_config.series_group_detection_conditions[0].smart_detection_condition.suppress_condition.min_ratio, 100)
+            self.assertEqual(
+                detection_config.series_group_detection_conditions[0].smart_detection_condition.suppress_condition.min_number, 1)
+            self.assertEqual(
+                detection_config.series_group_detection_conditions[0].smart_detection_condition.sensitivity, 63)
+            self.assertEqual(
+                detection_config.series_group_detection_conditions[0].smart_detection_condition.anomaly_detector_direction, "Both")
+            self.assertEqual(
+                detection_config.series_group_detection_conditions[0].change_threshold_condition.anomaly_detector_direction, "Both")
+            self.assertEqual(detection_config.series_group_detection_conditions[0].change_threshold_condition.change_percentage, 50)
+            self.assertEqual(detection_config.series_group_detection_conditions[0].change_threshold_condition.shift_point, 30)
+            self.assertTrue(detection_config.series_group_detection_conditions[0].change_threshold_condition.within_range)
+            self.assertEqual(
+                detection_config.series_group_detection_conditions[0].change_threshold_condition.suppress_condition.min_number, 2)
+            self.assertEqual(
+                detection_config.series_group_detection_conditions[0].change_threshold_condition.suppress_condition.min_ratio, 2)
+            self.assertEqual(
+                detection_config.series_group_detection_conditions[0].hard_threshold_condition.anomaly_detector_direction, "Both")
+            self.assertEqual(detection_config.series_group_detection_conditions[0].hard_threshold_condition.lower_bound, 0)
+            self.assertEqual(detection_config.series_group_detection_conditions[0].hard_threshold_condition.upper_bound, 100)
+            self.assertEqual(
+                detection_config.series_group_detection_conditions[0].hard_threshold_condition.suppress_condition.min_number, 5)
+            self.assertEqual(
+                detection_config.series_group_detection_conditions[0].hard_threshold_condition.suppress_condition.min_ratio, 5)
+            self.assertEqual(
+                detection_config.series_group_detection_conditions[1].series_group_key, {"city": "Seoul"})
+            self.assertEqual(
+                detection_config.series_group_detection_conditions[1].smart_detection_condition.suppress_condition.min_ratio, 100)
+            self.assertEqual(
+                detection_config.series_group_detection_conditions[1].smart_detection_condition.suppress_condition.min_number, 1)
+            self.assertEqual(
+                detection_config.series_group_detection_conditions[1].smart_detection_condition.sensitivity, 63)
+            self.assertEqual(
+                detection_config.series_group_detection_conditions[1].smart_detection_condition.anomaly_detector_direction, "Both")
+
+        finally:
+            self.admin_client.delete_data_feed(data_feed.id)
+
+    def test_list_detection_configs(self):
+        configs = self.admin_client.list_detection_configurations(metric_id=self.metric_id)
+        assert len(list(configs)) > 0
+
+    def test_update_detection_config_with_model(self):
+        try:
+            detection_config, data_feed = self._create_detection_config_for_update("updatedetection")
+
+            detection_config.name = "updated"
+            detection_config.description = "updated"
+            change_threshold_condition = ChangeThresholdCondition(
+                anomaly_detector_direction="Both",
+                change_percentage=20,
+                shift_point=10,
+                within_range=True,
+                suppress_condition=SuppressCondition(
+                    min_number=5,
+                    min_ratio=2
+                )
+            )
+            hard_threshold_condition = HardThresholdCondition(
+                anomaly_detector_direction="Up",
+                upper_bound=100,
+                suppress_condition=SuppressCondition(
+                    min_number=5,
+                    min_ratio=2
+                )
+            )
+            smart_detection_condition = SmartDetectionCondition(
+                anomaly_detector_direction="Up",
+                sensitivity=10,
+                suppress_condition=SuppressCondition(
+                    min_number=5,
+                    min_ratio=2
+                )
+            )
+            detection_config.series_detection_conditions[0].change_threshold_condition = change_threshold_condition
+            detection_config.series_detection_conditions[0].hard_threshold_condition = hard_threshold_condition
+            detection_config.series_detection_conditions[0].smart_detection_condition = smart_detection_condition
+            detection_config.series_detection_conditions[0].cross_conditions_operator = "AND"
+            detection_config.series_group_detection_conditions[0].change_threshold_condition = change_threshold_condition
+            detection_config.series_group_detection_conditions[0].hard_threshold_condition = hard_threshold_condition
+            detection_config.series_group_detection_conditions[0].smart_detection_condition = smart_detection_condition
+            detection_config.series_group_detection_conditions[0].cross_conditions_operator = "AND"
+            detection_config.whole_series_detection_condition.hard_threshold_condition = hard_threshold_condition
+            detection_config.whole_series_detection_condition.smart_detection_condition = smart_detection_condition
+            detection_config.whole_series_detection_condition.change_threshold_condition = change_threshold_condition
+            detection_config.whole_series_detection_condition.cross_conditions_operator = "OR"
+
+            updated = self.admin_client.update_detection_configuration(detection_config)
+
+            self.assertEqual(updated.name, "updated")
+            self.assertEqual(updated.description, "updated")
+            self.assertEqual(updated.series_detection_conditions[0].change_threshold_condition.anomaly_detector_direction, "Both")
+            self.assertEqual(updated.series_detection_conditions[0].change_threshold_condition.change_percentage, 20)
+            self.assertEqual(updated.series_detection_conditions[0].change_threshold_condition.shift_point, 10)
+            self.assertTrue(updated.series_detection_conditions[0].change_threshold_condition.within_range)
+            self.assertEqual(updated.series_detection_conditions[0].change_threshold_condition.suppress_condition.min_number, 5)
+            self.assertEqual(updated.series_detection_conditions[0].change_threshold_condition.suppress_condition.min_ratio, 2)
+            self.assertEqual(updated.series_detection_conditions[0].hard_threshold_condition.anomaly_detector_direction, "Up")
+            self.assertEqual(updated.series_detection_conditions[0].hard_threshold_condition.upper_bound, 100)
+            self.assertEqual(updated.series_detection_conditions[0].hard_threshold_condition.suppress_condition.min_number, 5)
+            self.assertEqual(updated.series_detection_conditions[0].hard_threshold_condition.suppress_condition.min_ratio, 2)
+            self.assertEqual(updated.series_detection_conditions[0].smart_detection_condition.anomaly_detector_direction, "Up")
+            self.assertEqual(updated.series_detection_conditions[0].smart_detection_condition.sensitivity, 10)
+            self.assertEqual(updated.series_detection_conditions[0].smart_detection_condition.suppress_condition.min_number, 5)
+            self.assertEqual(updated.series_detection_conditions[0].smart_detection_condition.suppress_condition.min_ratio, 2)
+            self.assertEqual(updated.series_detection_conditions[0].cross_conditions_operator, "AND")
+
+            self.assertEqual(updated.series_group_detection_conditions[0].change_threshold_condition.anomaly_detector_direction, "Both")
+            self.assertEqual(updated.series_group_detection_conditions[0].change_threshold_condition.change_percentage, 20)
+            self.assertEqual(updated.series_group_detection_conditions[0].change_threshold_condition.shift_point, 10)
+            self.assertTrue(updated.series_group_detection_conditions[0].change_threshold_condition.within_range)
+            self.assertEqual(updated.series_group_detection_conditions[0].change_threshold_condition.suppress_condition.min_number, 5)
+            self.assertEqual(updated.series_group_detection_conditions[0].change_threshold_condition.suppress_condition.min_ratio, 2)
+            self.assertEqual(updated.series_group_detection_conditions[0].hard_threshold_condition.anomaly_detector_direction, "Up")
+            self.assertEqual(updated.series_group_detection_conditions[0].hard_threshold_condition.upper_bound, 100)
+            self.assertEqual(updated.series_group_detection_conditions[0].hard_threshold_condition.suppress_condition.min_number, 5)
+            self.assertEqual(updated.series_group_detection_conditions[0].hard_threshold_condition.suppress_condition.min_ratio, 2)
+            self.assertEqual(updated.series_group_detection_conditions[0].smart_detection_condition.anomaly_detector_direction, "Up")
+            self.assertEqual(updated.series_group_detection_conditions[0].smart_detection_condition.sensitivity, 10)
+            self.assertEqual(updated.series_group_detection_conditions[0].smart_detection_condition.suppress_condition.min_number, 5)
+            self.assertEqual(updated.series_group_detection_conditions[0].smart_detection_condition.suppress_condition.min_ratio, 2)
+            self.assertEqual(updated.series_group_detection_conditions[0].cross_conditions_operator, "AND")
+
+            self.assertEqual(updated.whole_series_detection_condition.change_threshold_condition.anomaly_detector_direction, "Both")
+            self.assertEqual(updated.whole_series_detection_condition.change_threshold_condition.change_percentage, 20)
+            self.assertEqual(updated.whole_series_detection_condition.change_threshold_condition.shift_point, 10)
+            self.assertTrue(updated.whole_series_detection_condition.change_threshold_condition.within_range)
+            self.assertEqual(updated.whole_series_detection_condition.change_threshold_condition.suppress_condition.min_number, 5)
+            self.assertEqual(updated.whole_series_detection_condition.change_threshold_condition.suppress_condition.min_ratio, 2)
+            self.assertEqual(updated.whole_series_detection_condition.hard_threshold_condition.anomaly_detector_direction, "Up")
+            self.assertEqual(updated.whole_series_detection_condition.hard_threshold_condition.upper_bound, 100)
+            self.assertEqual(updated.whole_series_detection_condition.hard_threshold_condition.suppress_condition.min_number, 5)
+            self.assertEqual(updated.whole_series_detection_condition.hard_threshold_condition.suppress_condition.min_ratio, 2)
+            self.assertEqual(updated.whole_series_detection_condition.smart_detection_condition.anomaly_detector_direction, "Up")
+            self.assertEqual(updated.whole_series_detection_condition.smart_detection_condition.sensitivity, 10)
+            self.assertEqual(updated.whole_series_detection_condition.smart_detection_condition.suppress_condition.min_number, 5)
+            self.assertEqual(updated.whole_series_detection_condition.smart_detection_condition.suppress_condition.min_ratio, 2)
+            self.assertEqual(updated.whole_series_detection_condition.cross_conditions_operator, "OR")
+        finally:
+            self.admin_client.delete_data_feed(data_feed.id)
+
+    def test_update_detection_config_with_kwargs(self):
+        try:
+            detection_config, data_feed = self._create_detection_config_for_update("updatedetection")
+            change_threshold_condition = ChangeThresholdCondition(
+                anomaly_detector_direction="Both",
+                change_percentage=20,
+                shift_point=10,
+                within_range=True,
+                suppress_condition=SuppressCondition(
+                    min_number=5,
+                    min_ratio=2
+                )
+            )
+            hard_threshold_condition = HardThresholdCondition(
+                anomaly_detector_direction="Up",
+                upper_bound=100,
+                suppress_condition=SuppressCondition(
+                    min_number=5,
+                    min_ratio=2
+                )
+            )
+            smart_detection_condition = SmartDetectionCondition(
+                anomaly_detector_direction="Up",
+                sensitivity=10,
+                suppress_condition=SuppressCondition(
+                    min_number=5,
+                    min_ratio=2
+                )
+            )
+            updated = self.admin_client.update_detection_configuration(
+                detection_config.id,
+                name="updated",
+                description="updated",
+                whole_series_detection_condition=MetricDetectionCondition(
+                    cross_conditions_operator="OR",
+                    smart_detection_condition=smart_detection_condition,
+                    hard_threshold_condition=hard_threshold_condition,
+                    change_threshold_condition=change_threshold_condition
+                ),
+                series_detection_conditions=[MetricSingleSeriesDetectionCondition(
+                    series_key={"city": "San Paulo", "category": "Jewelry"},
+                    cross_conditions_operator="AND",
+                    smart_detection_condition=smart_detection_condition,
+                    hard_threshold_condition=hard_threshold_condition,
+                    change_threshold_condition=change_threshold_condition
+                )],
+                series_group_detection_conditions=[MetricSeriesGroupDetectionCondition(
+                    series_group_key={"city": "Shenzen"},
+                    cross_conditions_operator="AND",
+                    smart_detection_condition=smart_detection_condition,
+                    hard_threshold_condition=hard_threshold_condition,
+                    change_threshold_condition=change_threshold_condition
+                )]
+            )
+
+            self.assertEqual(updated.name, "updated")
+            self.assertEqual(updated.description, "updated")
+            self.assertEqual(updated.series_detection_conditions[0].change_threshold_condition.anomaly_detector_direction, "Both")
+            self.assertEqual(updated.series_detection_conditions[0].change_threshold_condition.change_percentage, 20)
+            self.assertEqual(updated.series_detection_conditions[0].change_threshold_condition.shift_point, 10)
+            self.assertTrue(updated.series_detection_conditions[0].change_threshold_condition.within_range)
+            self.assertEqual(updated.series_detection_conditions[0].change_threshold_condition.suppress_condition.min_number, 5)
+            self.assertEqual(updated.series_detection_conditions[0].change_threshold_condition.suppress_condition.min_ratio, 2)
+            self.assertEqual(updated.series_detection_conditions[0].hard_threshold_condition.anomaly_detector_direction, "Up")
+            self.assertEqual(updated.series_detection_conditions[0].hard_threshold_condition.upper_bound, 100)
+            self.assertEqual(updated.series_detection_conditions[0].hard_threshold_condition.suppress_condition.min_number, 5)
+            self.assertEqual(updated.series_detection_conditions[0].hard_threshold_condition.suppress_condition.min_ratio, 2)
+            self.assertEqual(updated.series_detection_conditions[0].smart_detection_condition.anomaly_detector_direction, "Up")
+            self.assertEqual(updated.series_detection_conditions[0].smart_detection_condition.sensitivity, 10)
+            self.assertEqual(updated.series_detection_conditions[0].smart_detection_condition.suppress_condition.min_number, 5)
+            self.assertEqual(updated.series_detection_conditions[0].smart_detection_condition.suppress_condition.min_ratio, 2)
+            self.assertEqual(updated.series_detection_conditions[0].cross_conditions_operator, "AND")
+            self.assertEqual(updated.series_detection_conditions[0].series_key, {"city": "San Paulo", "category": "Jewelry"})
+
+            self.assertEqual(updated.series_group_detection_conditions[0].change_threshold_condition.anomaly_detector_direction, "Both")
+            self.assertEqual(updated.series_group_detection_conditions[0].change_threshold_condition.change_percentage, 20)
+            self.assertEqual(updated.series_group_detection_conditions[0].change_threshold_condition.shift_point, 10)
+            self.assertTrue(updated.series_group_detection_conditions[0].change_threshold_condition.within_range)
+            self.assertEqual(updated.series_group_detection_conditions[0].change_threshold_condition.suppress_condition.min_number, 5)
+            self.assertEqual(updated.series_group_detection_conditions[0].change_threshold_condition.suppress_condition.min_ratio, 2)
+            self.assertEqual(updated.series_group_detection_conditions[0].hard_threshold_condition.anomaly_detector_direction, "Up")
+            self.assertEqual(updated.series_group_detection_conditions[0].hard_threshold_condition.upper_bound, 100)
+            self.assertEqual(updated.series_group_detection_conditions[0].hard_threshold_condition.suppress_condition.min_number, 5)
+            self.assertEqual(updated.series_group_detection_conditions[0].hard_threshold_condition.suppress_condition.min_ratio, 2)
+            self.assertEqual(updated.series_group_detection_conditions[0].smart_detection_condition.anomaly_detector_direction, "Up")
+            self.assertEqual(updated.series_group_detection_conditions[0].smart_detection_condition.sensitivity, 10)
+            self.assertEqual(updated.series_group_detection_conditions[0].smart_detection_condition.suppress_condition.min_number, 5)
+            self.assertEqual(updated.series_group_detection_conditions[0].smart_detection_condition.suppress_condition.min_ratio, 2)
+            self.assertEqual(updated.series_group_detection_conditions[0].cross_conditions_operator, "AND")
+            self.assertEqual(updated.series_group_detection_conditions[0].series_group_key, {"city": "Shenzen"})
+
+            self.assertEqual(updated.whole_series_detection_condition.change_threshold_condition.anomaly_detector_direction, "Both")
+            self.assertEqual(updated.whole_series_detection_condition.change_threshold_condition.change_percentage, 20)
+            self.assertEqual(updated.whole_series_detection_condition.change_threshold_condition.shift_point, 10)
+            self.assertTrue(updated.whole_series_detection_condition.change_threshold_condition.within_range)
+            self.assertEqual(updated.whole_series_detection_condition.change_threshold_condition.suppress_condition.min_number, 5)
+            self.assertEqual(updated.whole_series_detection_condition.change_threshold_condition.suppress_condition.min_ratio, 2)
+            self.assertEqual(updated.whole_series_detection_condition.hard_threshold_condition.anomaly_detector_direction, "Up")
+            self.assertEqual(updated.whole_series_detection_condition.hard_threshold_condition.upper_bound, 100)
+            self.assertEqual(updated.whole_series_detection_condition.hard_threshold_condition.suppress_condition.min_number, 5)
+            self.assertEqual(updated.whole_series_detection_condition.hard_threshold_condition.suppress_condition.min_ratio, 2)
+            self.assertEqual(updated.whole_series_detection_condition.smart_detection_condition.anomaly_detector_direction, "Up")
+            self.assertEqual(updated.whole_series_detection_condition.smart_detection_condition.sensitivity, 10)
+            self.assertEqual(updated.whole_series_detection_condition.smart_detection_condition.suppress_condition.min_number, 5)
+            self.assertEqual(updated.whole_series_detection_condition.smart_detection_condition.suppress_condition.min_ratio, 2)
+            self.assertEqual(updated.whole_series_detection_condition.cross_conditions_operator, "OR")
+        finally:
+            self.admin_client.delete_data_feed(data_feed.id)
+
+    def test_update_detection_config_with_model_and_kwargs(self):
+        try:
+            detection_config, data_feed = self._create_detection_config_for_update("updatedetection")
+            change_threshold_condition = ChangeThresholdCondition(
+                anomaly_detector_direction="Both",
+                change_percentage=20,
+                shift_point=10,
+                within_range=True,
+                suppress_condition=SuppressCondition(
+                    min_number=5,
+                    min_ratio=2
+                )
+            )
+            hard_threshold_condition = HardThresholdCondition(
+                anomaly_detector_direction="Up",
+                upper_bound=100,
+                suppress_condition=SuppressCondition(
+                    min_number=5,
+                    min_ratio=2
+                )
+            )
+            smart_detection_condition = SmartDetectionCondition(
+                anomaly_detector_direction="Up",
+                sensitivity=10,
+                suppress_condition=SuppressCondition(
+                    min_number=5,
+                    min_ratio=2
+                )
+            )
+
+            detection_config.name = "updateMe"
+            detection_config.description = "updateMe"
+            updated = self.admin_client.update_detection_configuration(
+                detection_config,
+                whole_series_detection_condition=MetricDetectionCondition(
+                    cross_conditions_operator="OR",
+                    smart_detection_condition=smart_detection_condition,
+                    hard_threshold_condition=hard_threshold_condition,
+                    change_threshold_condition=change_threshold_condition
+                ),
+                series_detection_conditions=[MetricSingleSeriesDetectionCondition(
+                    series_key={"city": "San Paulo", "category": "Jewelry"},
+                    cross_conditions_operator="AND",
+                    smart_detection_condition=smart_detection_condition,
+                    hard_threshold_condition=hard_threshold_condition,
+                    change_threshold_condition=change_threshold_condition
+                )],
+                series_group_detection_conditions=[MetricSeriesGroupDetectionCondition(
+                    series_group_key={"city": "Shenzen"},
+                    cross_conditions_operator="AND",
+                    smart_detection_condition=smart_detection_condition,
+                    hard_threshold_condition=hard_threshold_condition,
+                    change_threshold_condition=change_threshold_condition
+                )]
+            )
+
+            self.assertEqual(updated.name, "updateMe")
+            self.assertEqual(updated.description, "updateMe")
+            self.assertEqual(updated.series_detection_conditions[0].change_threshold_condition.anomaly_detector_direction, "Both")
+            self.assertEqual(updated.series_detection_conditions[0].change_threshold_condition.change_percentage, 20)
+            self.assertEqual(updated.series_detection_conditions[0].change_threshold_condition.shift_point, 10)
+            self.assertTrue(updated.series_detection_conditions[0].change_threshold_condition.within_range)
+            self.assertEqual(updated.series_detection_conditions[0].change_threshold_condition.suppress_condition.min_number, 5)
+            self.assertEqual(updated.series_detection_conditions[0].change_threshold_condition.suppress_condition.min_ratio, 2)
+            self.assertEqual(updated.series_detection_conditions[0].hard_threshold_condition.anomaly_detector_direction, "Up")
+            self.assertEqual(updated.series_detection_conditions[0].hard_threshold_condition.upper_bound, 100)
+            self.assertEqual(updated.series_detection_conditions[0].hard_threshold_condition.suppress_condition.min_number, 5)
+            self.assertEqual(updated.series_detection_conditions[0].hard_threshold_condition.suppress_condition.min_ratio, 2)
+            self.assertEqual(updated.series_detection_conditions[0].smart_detection_condition.anomaly_detector_direction, "Up")
+            self.assertEqual(updated.series_detection_conditions[0].smart_detection_condition.sensitivity, 10)
+            self.assertEqual(updated.series_detection_conditions[0].smart_detection_condition.suppress_condition.min_number, 5)
+            self.assertEqual(updated.series_detection_conditions[0].smart_detection_condition.suppress_condition.min_ratio, 2)
+            self.assertEqual(updated.series_detection_conditions[0].cross_conditions_operator, "AND")
+            self.assertEqual(updated.series_detection_conditions[0].series_key, {"city": "San Paulo", "category": "Jewelry"})
+
+            self.assertEqual(updated.series_group_detection_conditions[0].change_threshold_condition.anomaly_detector_direction, "Both")
+            self.assertEqual(updated.series_group_detection_conditions[0].change_threshold_condition.change_percentage, 20)
+            self.assertEqual(updated.series_group_detection_conditions[0].change_threshold_condition.shift_point, 10)
+            self.assertTrue(updated.series_group_detection_conditions[0].change_threshold_condition.within_range)
+            self.assertEqual(updated.series_group_detection_conditions[0].change_threshold_condition.suppress_condition.min_number, 5)
+            self.assertEqual(updated.series_group_detection_conditions[0].change_threshold_condition.suppress_condition.min_ratio, 2)
+            self.assertEqual(updated.series_group_detection_conditions[0].hard_threshold_condition.anomaly_detector_direction, "Up")
+            self.assertEqual(updated.series_group_detection_conditions[0].hard_threshold_condition.upper_bound, 100)
+            self.assertEqual(updated.series_group_detection_conditions[0].hard_threshold_condition.suppress_condition.min_number, 5)
+            self.assertEqual(updated.series_group_detection_conditions[0].hard_threshold_condition.suppress_condition.min_ratio, 2)
+            self.assertEqual(updated.series_group_detection_conditions[0].smart_detection_condition.anomaly_detector_direction, "Up")
+            self.assertEqual(updated.series_group_detection_conditions[0].smart_detection_condition.sensitivity, 10)
+            self.assertEqual(updated.series_group_detection_conditions[0].smart_detection_condition.suppress_condition.min_number, 5)
+            self.assertEqual(updated.series_group_detection_conditions[0].smart_detection_condition.suppress_condition.min_ratio, 2)
+            self.assertEqual(updated.series_group_detection_conditions[0].cross_conditions_operator, "AND")
+            self.assertEqual(updated.series_group_detection_conditions[0].series_group_key, {"city": "Shenzen"})
+
+            self.assertEqual(updated.whole_series_detection_condition.change_threshold_condition.anomaly_detector_direction, "Both")
+            self.assertEqual(updated.whole_series_detection_condition.change_threshold_condition.change_percentage, 20)
+            self.assertEqual(updated.whole_series_detection_condition.change_threshold_condition.shift_point, 10)
+            self.assertTrue(updated.whole_series_detection_condition.change_threshold_condition.within_range)
+            self.assertEqual(updated.whole_series_detection_condition.change_threshold_condition.suppress_condition.min_number, 5)
+            self.assertEqual(updated.whole_series_detection_condition.change_threshold_condition.suppress_condition.min_ratio, 2)
+            self.assertEqual(updated.whole_series_detection_condition.hard_threshold_condition.anomaly_detector_direction, "Up")
+            self.assertEqual(updated.whole_series_detection_condition.hard_threshold_condition.upper_bound, 100)
+            self.assertEqual(updated.whole_series_detection_condition.hard_threshold_condition.suppress_condition.min_number, 5)
+            self.assertEqual(updated.whole_series_detection_condition.hard_threshold_condition.suppress_condition.min_ratio, 2)
+            self.assertEqual(updated.whole_series_detection_condition.smart_detection_condition.anomaly_detector_direction, "Up")
+            self.assertEqual(updated.whole_series_detection_condition.smart_detection_condition.sensitivity, 10)
+            self.assertEqual(updated.whole_series_detection_condition.smart_detection_condition.suppress_condition.min_number, 5)
+            self.assertEqual(updated.whole_series_detection_condition.smart_detection_condition.suppress_condition.min_ratio, 2)
+            self.assertEqual(updated.whole_series_detection_condition.cross_conditions_operator, "OR")
+        finally:
+            self.admin_client.delete_data_feed(data_feed.id)
+
+    def test_update_detection_config_by_resetting_properties(self):
+        try:
+            detection_config, data_feed = self._create_detection_config_for_update("updatedetection")
+
+            updated = self.admin_client.update_detection_configuration(
+                detection_config.id,
+                name="reset",
+                description="",
+                # series_detection_conditions=None,
+                # series_group_detection_conditions=None
+            )
+
+            self.assertEqual(updated.name, "reset")
+            self.assertEqual(updated.description, "")  # currently won't update with None
+
+            # service bug says these are required
+            # self.assertEqual(updated.series_detection_conditions, None)
+            # self.assertEqual(updated.series_group_detection_conditions, None)
+
+        finally:
+            self.admin_client.delete_data_feed(data_feed.id)
diff --git a/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/test_hooks_aad.py b/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/test_hooks_aad.py
new file mode 100644
index 000000000000..8ab11cea1ba0
--- /dev/null
+++ b/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/test_hooks_aad.py
@@ -0,0 +1,255 @@
+# coding=utf-8
+# -------------------------------------------------------------------------
+# Copyright (c) Microsoft Corporation. All rights reserved.
+# Licensed under the MIT License. See License.txt in the project root for
+# license information.
+# --------------------------------------------------------------------------
+
+import pytest
+from azure.core.exceptions import ResourceNotFoundError
+
+from azure.ai.metricsadvisor.models import (
+    EmailNotificationHook,
+    WebNotificationHook,
+)
+from base_testcase_aad import TestMetricsAdvisorAdministrationClientBase
+
+
+class TestMetricsAdvisorAdministrationClient(TestMetricsAdvisorAdministrationClientBase):
+
+    def test_create_email_hook(self):
+        email_hook_name = self.create_random_name("testemailhook")
+        try:
+            email_hook = self.admin_client.create_hook(
+                hook=EmailNotificationHook(
+                    name=email_hook_name,
+                    emails_to_alert=["yournamehere@microsoft.com"],
+                    description="my email hook",
+                    external_link="external link"
+                )
+            )
+            self.assertIsNotNone(email_hook.id)
+            self.assertIsNotNone(email_hook.name)
+            self.assertIsNotNone(email_hook.admin_emails)
+            self.assertEqual(email_hook.emails_to_alert, ["yournamehere@microsoft.com"])
+            self.assertEqual(email_hook.description, "my email hook")
+            self.assertEqual(email_hook.external_link, "external link")
+            self.assertEqual(email_hook.hook_type, "Email")
+        finally:
+            self.admin_client.delete_hook(email_hook.id)
+
+            with self.assertRaises(ResourceNotFoundError):
+                self.admin_client.get_hook(email_hook.id)
+
+    def test_create_web_hook(self):
+        web_hook_name = self.create_random_name("testwebhook")
+        try:
+            web_hook = self.admin_client.create_hook(
+                hook=WebNotificationHook(
+                    name=web_hook_name,
+                    endpoint="https://httpbin.org/post",
+                    description="my web hook",
+                    external_link="external link"
+                )
+            )
+            self.assertIsNotNone(web_hook.id)
+            self.assertIsNotNone(web_hook.name)
+            self.assertIsNotNone(web_hook.admin_emails)
+            self.assertEqual(web_hook.endpoint, "https://httpbin.org/post")
+            self.assertEqual(web_hook.description, "my web hook")
+            self.assertEqual(web_hook.external_link, "external link")
+            self.assertEqual(web_hook.hook_type, "Webhook")
+        finally:
+            self.admin_client.delete_hook(web_hook.id)
+
+            with self.assertRaises(ResourceNotFoundError):
+                self.admin_client.get_hook(web_hook.id)
+
+    def test_list_hooks(self):
+        hooks = self.admin_client.list_hooks()
+        assert len(list(hooks)) > 0
+
+    def test_update_email_hook_with_model(self):
+        name = self.create_random_name("testwebhook")
+        try:
+            hook = self._create_email_hook_for_update(name)
+            hook.name = "update"
+            hook.description = "update"
+            hook.external_link = "update"
+            hook.emails_to_alert = ["myemail@m.com"]
+
+            updated = self.admin_client.update_hook(hook)
+
+            self.assertEqual(updated.name, "update")
+            self.assertEqual(updated.description, "update")
+            self.assertEqual(updated.external_link, "update")
+            self.assertEqual(updated.emails_to_alert, ["myemail@m.com"])
+
+        finally:
+            self.admin_client.delete_hook(hook.id)
+
+    def test_update_email_hook_with_kwargs(self):
+        name = self.create_random_name("testhook")
+        try:
+            hook = self._create_email_hook_for_update(name)
+            updated = self.admin_client.update_hook(
+                hook.id,
+                hook_type="Email",
+                name="update",
+                description="update",
+                external_link="update",
+                emails_to_alert=["myemail@m.com"]
+            )
+
+            self.assertEqual(updated.name, "update")
+            self.assertEqual(updated.description, "update")
+            self.assertEqual(updated.external_link, "update")
+            self.assertEqual(updated.emails_to_alert, ["myemail@m.com"])
+
+        finally:
+            self.admin_client.delete_hook(hook.id)
+
+    def test_update_email_hook_with_model_and_kwargs(self):
+        name = self.create_random_name("testhook")
+        try:
+            hook = self._create_email_hook_for_update(name)
+
+            hook.name = "don't update me"
+            hook.description = "don't update me"
+            hook.emails_to_alert = []
+            updated = self.admin_client.update_hook(
+                hook,
+                hook_type="Email",
+                name="update",
+                description="update",
+                external_link="update",
+                emails_to_alert=["myemail@m.com"]
+            )
+
+            self.assertEqual(updated.name, "update")
+            self.assertEqual(updated.description, "update")
+            self.assertEqual(updated.external_link, "update")
+            self.assertEqual(updated.emails_to_alert, ["myemail@m.com"])
+
+        finally:
+            self.admin_client.delete_hook(hook.id)
+
+    def test_update_email_hook_by_resetting_properties(self):
+        name = self.create_random_name("testhook")
+        try:
+            hook = self._create_email_hook_for_update(name)
+            updated = self.admin_client.update_hook(
+                hook.id,
+                hook_type="Email",
+                name="reset",
+                description=None,
+                external_link=None,
+            )
+
+            self.assertEqual(updated.name, "reset")
+
+            # sending null, but not clearing properties
+            # self.assertEqual(updated.description, "")
+            # self.assertEqual(updated.external_link, "")
+
+        finally:
+            self.admin_client.delete_hook(hook.id)
+
+    def test_update_web_hook_with_model(self):
+        name = self.create_random_name("testwebhook")
+        try:
+            hook = self._create_web_hook_for_update(name)
+            hook.name = "update"
+            hook.description = "update"
+            hook.external_link = "update"
+            hook.username = "myusername"
+            hook.password = "password"
+
+            updated = self.admin_client.update_hook(hook)
+
+            self.assertEqual(updated.name, "update")
+            self.assertEqual(updated.description, "update")
+            self.assertEqual(updated.external_link, "update")
+            self.assertEqual(updated.username, "myusername")
+            self.assertEqual(updated.password, "password")
+
+        finally:
+            self.admin_client.delete_hook(hook.id)
+
+    def test_update_web_hook_with_kwargs(self):
+        name = self.create_random_name("testwebhook")
+        try:
+            hook = self._create_web_hook_for_update(name)
+            updated = self.admin_client.update_hook(
+                hook.id,
+                hook_type="Web",
+                endpoint="https://httpbin.org/post",
+                name="update",
+                description="update",
+                external_link="update",
+                username="myusername",
+                password="password"
+            )
+
+            self.assertEqual(updated.name, "update")
+            self.assertEqual(updated.description, "update")
+            self.assertEqual(updated.external_link, "update")
+            self.assertEqual(updated.username, "myusername")
+            self.assertEqual(updated.password, "password")
+
+        finally:
+            self.admin_client.delete_hook(hook.id)
+
+    def test_update_web_hook_with_model_and_kwargs(self):
+        name = self.create_random_name("testwebhook")
+        try:
+            hook = self._create_web_hook_for_update(name)
+
+            hook.name = "don't update me"
+            hook.description = "updateMe"
+            hook.username = "don't update me"
+            hook.password = "don't update me"
+            hook.endpoint = "don't update me"
+            updated = self.admin_client.update_hook(
+                hook,
+                hook_type="Web",
+                endpoint="https://httpbin.org/post",
+                name="update",
+                external_link="update",
+                username="myusername",
+                password="password"
+            )
+
+            self.assertEqual(updated.name, "update")
+            self.assertEqual(updated.description, "updateMe")
+            self.assertEqual(updated.external_link, "update")
+            self.assertEqual(updated.username, "myusername")
+            self.assertEqual(updated.password, "password")
+
+        finally:
+            self.admin_client.delete_hook(hook.id)
+
+    def test_update_web_hook_by_resetting_properties(self):
+        name = self.create_random_name("testhook")
+        try:
+            hook = self._create_web_hook_for_update(name)
+            updated = self.admin_client.update_hook(
+                hook.id,
+                hook_type="Web",
+                name="reset",
+                description=None,
+                endpoint="https://httpbin.org/post",
+                external_link=None,
+                username="myusername",
+                password=None
+            )
+
+            self.assertEqual(updated.name, "reset")
+            self.assertEqual(updated.password, "")
+
+            # sending null, but not clearing properties
+            # self.assertEqual(updated.description, "")
+            # self.assertEqual(updated.external_link, "")
+
+        finally:
+            self.admin_client.delete_hook(hook.id)
diff --git a/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/test_metrics_advisor_client_aad_live.py b/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/test_metrics_advisor_client_aad_live.py
new file mode 100644
index 000000000000..5f4393c65988
--- /dev/null
+++ b/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/test_metrics_advisor_client_aad_live.py
@@ -0,0 +1,163 @@
+# -------------------------------------------------------------------------
+# Copyright (c) Microsoft Corporation. All rights reserved.
+# Licensed under the MIT License. See License.txt in the project root for
+# license information.
+# --------------------------------------------------------------------------
+from azure.core import MatchConditions
+from devtools_testutils import AzureMgmtTestCase
+from azure.core.exceptions import (
+    ResourceModifiedError,
+    ResourceNotFoundError,
+    ResourceExistsError,
+    AzureError,
+)
+from azure.ai.metricsadvisor.models import (
+    AnomalyFeedback,
+    ChangePointFeedback,
+    CommentFeedback,
+    PeriodFeedback,
+)
+import pytest
+import datetime
+import os
+from base_testcase_aad import TestMetricsAdvisorClientBase
+
+class TestMetricsAdvisorClient(TestMetricsAdvisorClientBase):
+    def test_list_anomalies_for_detection_configuration(self):
+        results = list(self.client.list_anomalies(
+            detection_configuration_id=self.anomaly_detection_configuration_id,
+            start_time=datetime.datetime(2020, 1, 1),
+            end_time=datetime.datetime(2020, 10, 21),
+        ))
+        assert len(results) > 0
+
+    def test_list_dimension_values(self):
+        results = list(self.client.list_dimension_values(
+            detection_configuration_id=self.anomaly_detection_configuration_id,
+            dimension_name=self.dimension_name,
+            start_time=datetime.datetime(2020, 1, 1),
+            end_time=datetime.datetime(2020, 10, 21),
+        ))
+        assert len(results) > 0
+
+    def test_list_incidents_for_detection_configuration(self):
+        results = list(self.client.list_incidents(
+            detection_configuration_id=self.anomaly_detection_configuration_id,
+            start_time=datetime.datetime(2020, 1, 1),
+            end_time=datetime.datetime(2020, 10, 21),
+        ))
+        assert len(results) > 0
+
+    def test_list_metric_dimension_values(self):
+        results = list(self.client.list_metric_dimension_values(
+            metric_id=self.metric_id,
+            dimension_name=self.dimension_name,
+        ))
+        assert len(results) > 0
+
+    def test_list_incident_root_cause(self):
+        results = list(self.client.list_incident_root_causes(
+            detection_configuration_id=self.anomaly_detection_configuration_id,
+            incident_id=self.incident_id,
+        ))
+        assert len(results) == 0
+
+    def test_list_metric_enriched_series_data(self):
+        series_identity = {"city": "Los Angeles"}
+        results = list(self.client.list_metric_enriched_series_data(
+            detection_configuration_id=self.anomaly_detection_configuration_id,
+            start_time=datetime.datetime(2020, 1, 1),
+            end_time=datetime.datetime(2020, 10, 21),
+            series=[series_identity]
+        ))
+        assert len(results) > 0
+
+    def test_list_metric_enrichment_status(self):
+        results = list(self.client.list_metric_enrichment_status(
+            metric_id=self.metric_id,
+            start_time=datetime.datetime(2020, 1, 1),
+            end_time=datetime.datetime(2020, 10, 21),
+        ))
+        assert len(results) > 0
+
+    def test_list_alerts(self):
+        results = list(self.client.list_alerts(
+            alert_configuration_id=self.anomaly_alert_configuration_id,
+            start_time=datetime.datetime(2020, 1, 1),
+            end_time=datetime.datetime(2020, 10, 21),
+            time_mode="AnomalyTime",
+        ))
+        assert len(list(results)) > 0
+
+    def test_list_metrics_series_data(self):
+        results = list(self.client.list_metrics_series_data(
+            metric_id=self.metric_id,
+            start_time=datetime.datetime(2020, 1, 1),
+            end_time=datetime.datetime(2020, 10, 21),
+            series_to_filter=[
+                {"city": "Los Angeles", "category": "Homemade"}
+            ]
+        ))
+        assert len(results) > 0
+
+    def test_list_metric_series_definitions(self):
+        results = list(self.client.list_metric_series_definitions(
+            metric_id=self.metric_id,
+            active_since=datetime.datetime(2020, 1, 1),
+        ))
+        assert len(results) > 0
+
+    def test_add_anomaly_feedback(self):
+        anomaly_feedback = AnomalyFeedback(metric_id=self.metric_id,
+                                           dimension_key={"city": "Los Angeles"},
+                                           start_time=datetime.datetime(2020, 8, 5),
+                                           end_time=datetime.datetime(2020, 10, 21),
+                                           value="NotAnomaly")
+        self.client.add_feedback(anomaly_feedback)
+
+    def test_add_change_point_feedback(self):
+        change_point_feedback = ChangePointFeedback(metric_id=self.metric_id,
+                                                    dimension_key={"city": "Los Angeles"},
+                                                    start_time=datetime.datetime(2020, 8, 5),
+                                                    end_time=datetime.datetime(2020, 10, 21),
+                                                    value="NotChangePoint")
+        self.client.add_feedback(change_point_feedback)
+
+    def test_add_comment_feedback(self):
+        comment_feedback = CommentFeedback(metric_id=self.metric_id,
+                                           dimension_key={"city": "Los Angeles"},
+                                           start_time=datetime.datetime(2020, 8, 5),
+                                           end_time=datetime.datetime(2020, 10, 21),
+                                           value="comment")
+        self.client.add_feedback(comment_feedback)
+
+    def test_add_period_feedback(self):
+        period_feedback = PeriodFeedback(metric_id=self.metric_id,
+                                         dimension_key={"city": "Los Angeles"},
+                                         start_time=datetime.datetime(2020, 8, 5),
+                                         end_time=datetime.datetime(2020, 10, 21),
+                                         period_type="AssignValue",
+                                         value=2)
+        self.client.add_feedback(period_feedback)
+
+    def test_list_feedback(self):
+        results = list(self.client.list_feedback(metric_id=self.metric_id))
+        assert len(results) > 0
+
+    def test_get_feedback(self):
+        result = self.client.get_feedback(feedback_id=self.feedback_id)
+        assert result
+
+    def test_list_anomalies_for_alert(self):
+        result = list(self.client.list_anomalies(
+            alert_configuration_id=self.anomaly_alert_configuration_id,
+            alert_id=self.alert_id,
+        ))
+        assert len(result) > 0
+
+    def test_list_incidents_for_alert(self):
+        results = list(self.client.list_incidents(
+            alert_configuration_id=self.anomaly_alert_configuration_id,
+            alert_id=self.alert_id,
+        ))
+        assert len(results) > 0
diff --git a/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/test_metrics_advisor_client_live.py b/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/test_metrics_advisor_client_live.py
index 02b1b5941e10..eeaecdb12cb5 100644
--- a/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/test_metrics_advisor_client_live.py
+++ b/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/test_metrics_advisor_client_live.py
@@ -60,7 +60,7 @@ def test_list_incident_root_cause(self):
             detection_configuration_id=self.anomaly_detection_configuration_id,
             incident_id=self.incident_id,
         ))
-        assert len(results) > 0
+        assert len(results) == 0
 
     def test_list_metric_enriched_series_data(self):
         series_identity = {"city": "Los Angeles"}

From 88ed096826ad2dfd18514de3cb8fef4cdde41fdb Mon Sep 17 00:00:00 2001
From: Xiang Yan <xiangyan@microsoft.com>
Date: Sat, 26 Dec 2020 12:19:53 -0800
Subject: [PATCH 03/10] update

---
 sdk/metricsadvisor/azure-ai-metricsadvisor/dev_requirements.txt | 1 +
 1 file changed, 1 insertion(+)

diff --git a/sdk/metricsadvisor/azure-ai-metricsadvisor/dev_requirements.txt b/sdk/metricsadvisor/azure-ai-metricsadvisor/dev_requirements.txt
index dd7dbde09bd3..052d3190567b 100644
--- a/sdk/metricsadvisor/azure-ai-metricsadvisor/dev_requirements.txt
+++ b/sdk/metricsadvisor/azure-ai-metricsadvisor/dev_requirements.txt
@@ -1,5 +1,6 @@
 -e ../../../tools/azure-sdk-tools
 -e ../../../tools/azure-devtools
+-e ../../identity/azure-identity
 ../../core/azure-core
 aiohttp>=3.0; python_version >= '3.5'
 msrest>=0.6.12

From bcb7174d59cacff74a396f0039a54169be4cd1fd Mon Sep 17 00:00:00 2001
From: Xiang Yan <xiangyan@microsoft.com>
Date: Mon, 4 Jan 2021 09:41:45 -0800
Subject: [PATCH 04/10] update

---
 sdk/metricsadvisor/azure-ai-metricsadvisor/CHANGELOG.md | 3 +++
 1 file changed, 3 insertions(+)

diff --git a/sdk/metricsadvisor/azure-ai-metricsadvisor/CHANGELOG.md b/sdk/metricsadvisor/azure-ai-metricsadvisor/CHANGELOG.md
index 6f69e40c717b..bb0f24a01cb0 100644
--- a/sdk/metricsadvisor/azure-ai-metricsadvisor/CHANGELOG.md
+++ b/sdk/metricsadvisor/azure-ai-metricsadvisor/CHANGELOG.md
@@ -2,6 +2,9 @@
 
 ## 1.0.0b3 (Unreleased)
 
+**New Features**
+
+- AAD support authentication    #15922
 
 ## 1.0.0b2 (2020-11-10)
 

From e94b6c8e08405c8b3e90f87af9efedf4f67bd2e3 Mon Sep 17 00:00:00 2001
From: Xiang Yan <xiangsjtu@gmail.com>
Date: Mon, 4 Jan 2021 10:58:15 -0800
Subject: [PATCH 05/10] Update
 sdk/metricsadvisor/azure-ai-metricsadvisor/azure/ai/metricsadvisor/_metrics_advisor_administration_client.py

Co-authored-by: Krista Pratico <krpratic@microsoft.com>
---
 .../ai/metricsadvisor/_metrics_advisor_administration_client.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/sdk/metricsadvisor/azure-ai-metricsadvisor/azure/ai/metricsadvisor/_metrics_advisor_administration_client.py b/sdk/metricsadvisor/azure-ai-metricsadvisor/azure/ai/metricsadvisor/_metrics_advisor_administration_client.py
index b38ba57a0386..169773191958 100644
--- a/sdk/metricsadvisor/azure-ai-metricsadvisor/azure/ai/metricsadvisor/_metrics_advisor_administration_client.py
+++ b/sdk/metricsadvisor/azure-ai-metricsadvisor/azure/ai/metricsadvisor/_metrics_advisor_administration_client.py
@@ -155,7 +155,7 @@ class MetricsAdvisorAdministrationClient(object):  # pylint:disable=too-many-pub
         for example: https://:code:`<resource-name>`.cognitiveservices.azure.com).
     :param credential: An instance of ~azure.ai.metricsadvisor.MetricsAdvisorKeyCredential.
         which requires both subscription key and API key. Or an object which can provide an access
-        token for the vault, such as a credential from :mod:`azure.identity`
+        token for the Metrics Advisor service, such as a credential from :mod:`azure.identity`
     :type credential: ~azure.ai.metricsadvisor.MetricsAdvisorKeyCredential
 
     .. admonition:: Example:

From bc4aac5ae35bdc01b68f0a7b391f80675192b55b Mon Sep 17 00:00:00 2001
From: Xiang Yan <xiangsjtu@gmail.com>
Date: Mon, 4 Jan 2021 10:58:31 -0800
Subject: [PATCH 06/10] Update
 sdk/metricsadvisor/azure-ai-metricsadvisor/azure/ai/metricsadvisor/_metrics_advisor_administration_client.py

Co-authored-by: Krista Pratico <krpratic@microsoft.com>
---
 .../ai/metricsadvisor/_metrics_advisor_administration_client.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/sdk/metricsadvisor/azure-ai-metricsadvisor/azure/ai/metricsadvisor/_metrics_advisor_administration_client.py b/sdk/metricsadvisor/azure-ai-metricsadvisor/azure/ai/metricsadvisor/_metrics_advisor_administration_client.py
index 169773191958..48a941e37e75 100644
--- a/sdk/metricsadvisor/azure-ai-metricsadvisor/azure/ai/metricsadvisor/_metrics_advisor_administration_client.py
+++ b/sdk/metricsadvisor/azure-ai-metricsadvisor/azure/ai/metricsadvisor/_metrics_advisor_administration_client.py
@@ -156,7 +156,7 @@ class MetricsAdvisorAdministrationClient(object):  # pylint:disable=too-many-pub
     :param credential: An instance of ~azure.ai.metricsadvisor.MetricsAdvisorKeyCredential.
         which requires both subscription key and API key. Or an object which can provide an access
         token for the Metrics Advisor service, such as a credential from :mod:`azure.identity`
-    :type credential: ~azure.ai.metricsadvisor.MetricsAdvisorKeyCredential
+    :type credential: ~azure.ai.metricsadvisor.MetricsAdvisorKeyCredential or ~azure.core.credentials.TokenCredential
 
     .. admonition:: Example:
 

From 0dd8dc212e2beb76ae956fd16c1ab3989293599c Mon Sep 17 00:00:00 2001
From: Xiang Yan <xiangyan@microsoft.com>
Date: Mon, 4 Jan 2021 11:14:32 -0800
Subject: [PATCH 07/10] update

---
 .../azure/ai/metricsadvisor/_generated/_configuration.py       | 1 +
 .../azure/ai/metricsadvisor/_generated/aio/_configuration.py   | 1 +
 .../metricsadvisor/_metrics_advisor_administration_client.py   | 3 +--
 .../azure/ai/metricsadvisor/_metrics_advisor_client.py         | 3 +--
 .../aio/_metrics_advisor_administration_client_async.py        | 3 +--
 .../ai/metricsadvisor/aio/_metrics_advisor_client_async.py     | 3 +--
 .../samples/async_samples/sample_authentication_async.py       | 2 ++
 7 files changed, 8 insertions(+), 8 deletions(-)

diff --git a/sdk/metricsadvisor/azure-ai-metricsadvisor/azure/ai/metricsadvisor/_generated/_configuration.py b/sdk/metricsadvisor/azure-ai-metricsadvisor/azure/ai/metricsadvisor/_generated/_configuration.py
index 7b349a754686..ae85bde30aed 100644
--- a/sdk/metricsadvisor/azure-ai-metricsadvisor/azure/ai/metricsadvisor/_generated/_configuration.py
+++ b/sdk/metricsadvisor/azure-ai-metricsadvisor/azure/ai/metricsadvisor/_generated/_configuration.py
@@ -38,6 +38,7 @@ def __init__(
         super(AzureCognitiveServiceMetricsAdvisorRESTAPIOpenAPIV2Configuration, self).__init__(**kwargs)
 
         self.endpoint = endpoint
+        self.credential_scopes = kwargs.pop('credential_scopes', ['https://cognitiveservices.azure.com/.default'])
         kwargs.setdefault('sdk_moniker', 'ai-metricsadvisor/{}'.format(VERSION))
         self._configure(**kwargs)
 
diff --git a/sdk/metricsadvisor/azure-ai-metricsadvisor/azure/ai/metricsadvisor/_generated/aio/_configuration.py b/sdk/metricsadvisor/azure-ai-metricsadvisor/azure/ai/metricsadvisor/_generated/aio/_configuration.py
index 19f2549a0028..a951e45639b8 100644
--- a/sdk/metricsadvisor/azure-ai-metricsadvisor/azure/ai/metricsadvisor/_generated/aio/_configuration.py
+++ b/sdk/metricsadvisor/azure-ai-metricsadvisor/azure/ai/metricsadvisor/_generated/aio/_configuration.py
@@ -33,6 +33,7 @@ def __init__(
         super(AzureCognitiveServiceMetricsAdvisorRESTAPIOpenAPIV2Configuration, self).__init__(**kwargs)
 
         self.endpoint = endpoint
+        self.credential_scopes = kwargs.pop('credential_scopes', ['https://cognitiveservices.azure.com/.default'])
         kwargs.setdefault('sdk_moniker', 'ai-metricsadvisor/{}'.format(VERSION))
         self._configure(**kwargs)
 
diff --git a/sdk/metricsadvisor/azure-ai-metricsadvisor/azure/ai/metricsadvisor/_metrics_advisor_administration_client.py b/sdk/metricsadvisor/azure-ai-metricsadvisor/azure/ai/metricsadvisor/_metrics_advisor_administration_client.py
index 48a941e37e75..3c13b2c3a7af 100644
--- a/sdk/metricsadvisor/azure-ai-metricsadvisor/azure/ai/metricsadvisor/_metrics_advisor_administration_client.py
+++ b/sdk/metricsadvisor/azure-ai-metricsadvisor/azure/ai/metricsadvisor/_metrics_advisor_administration_client.py
@@ -189,9 +189,8 @@ def __init__(self, endpoint, credential, **kwargs):
                 **kwargs
             )
         else:
-            scope = "https://cognitiveservices.azure.com/.default"
             if hasattr(credential, "get_token"):
-                credential_policy = BearerTokenCredentialPolicy(credential, scope)
+                credential_policy = BearerTokenCredentialPolicy(credential, *self.credential_scopes)
             else:
                 raise TypeError("Please provide an instance from azure-identity "
                                 "or a class that implement the 'get_token protocol")
diff --git a/sdk/metricsadvisor/azure-ai-metricsadvisor/azure/ai/metricsadvisor/_metrics_advisor_client.py b/sdk/metricsadvisor/azure-ai-metricsadvisor/azure/ai/metricsadvisor/_metrics_advisor_client.py
index 7e2afe4f88c8..f90967ee854f 100644
--- a/sdk/metricsadvisor/azure-ai-metricsadvisor/azure/ai/metricsadvisor/_metrics_advisor_client.py
+++ b/sdk/metricsadvisor/azure-ai-metricsadvisor/azure/ai/metricsadvisor/_metrics_advisor_client.py
@@ -89,9 +89,8 @@ def __init__(self, endpoint, credential, **kwargs):
                 **kwargs
             )
         else:
-            scope = "https://cognitiveservices.azure.com/.default"
             if hasattr(credential, "get_token"):
-                credential_policy = BearerTokenCredentialPolicy(credential, scope)
+                credential_policy = BearerTokenCredentialPolicy(credential, *self.credential_scopes)
             else:
                 raise TypeError("Please provide an instance from azure-identity "
                                 "or a class that implement the 'get_token protocol")
diff --git a/sdk/metricsadvisor/azure-ai-metricsadvisor/azure/ai/metricsadvisor/aio/_metrics_advisor_administration_client_async.py b/sdk/metricsadvisor/azure-ai-metricsadvisor/azure/ai/metricsadvisor/aio/_metrics_advisor_administration_client_async.py
index 5be4b46bcddc..24c940222b93 100644
--- a/sdk/metricsadvisor/azure-ai-metricsadvisor/azure/ai/metricsadvisor/aio/_metrics_advisor_administration_client_async.py
+++ b/sdk/metricsadvisor/azure-ai-metricsadvisor/azure/ai/metricsadvisor/aio/_metrics_advisor_administration_client_async.py
@@ -99,9 +99,8 @@ def __init__(self, endpoint: str, credential: MetricsAdvisorKeyCredential, **kwa
                 **kwargs
             )
         else:
-            scope = "https://cognitiveservices.azure.com/.default"
             if hasattr(credential, "get_token"):
-                credential_policy = AsyncBearerTokenCredentialPolicy(credential, scope)
+                credential_policy = AsyncBearerTokenCredentialPolicy(credential, *self.credential_scopes)
             else:
                 raise TypeError("Please provide an instance from azure-identity "
                                 "or a class that implement the 'get_token protocol")
diff --git a/sdk/metricsadvisor/azure-ai-metricsadvisor/azure/ai/metricsadvisor/aio/_metrics_advisor_client_async.py b/sdk/metricsadvisor/azure-ai-metricsadvisor/azure/ai/metricsadvisor/aio/_metrics_advisor_client_async.py
index 4b056a1c003e..8cbcc7efb1c6 100644
--- a/sdk/metricsadvisor/azure-ai-metricsadvisor/azure/ai/metricsadvisor/aio/_metrics_advisor_client_async.py
+++ b/sdk/metricsadvisor/azure-ai-metricsadvisor/azure/ai/metricsadvisor/aio/_metrics_advisor_client_async.py
@@ -89,9 +89,8 @@ def __init__(self, endpoint, credential, **kwargs):
                 **kwargs
             )
         else:
-            scope = "https://cognitiveservices.azure.com/.default"
             if hasattr(credential, "get_token"):
-                credential_policy = AsyncBearerTokenCredentialPolicy(credential, scope)
+                credential_policy = AsyncBearerTokenCredentialPolicy(credential, *self.credential_scopes)
             else:
                 raise TypeError("Please provide an instance from azure-identity "
                                 "or a class that implement the 'get_token protocol")
diff --git a/sdk/metricsadvisor/azure-ai-metricsadvisor/samples/async_samples/sample_authentication_async.py b/sdk/metricsadvisor/azure-ai-metricsadvisor/samples/async_samples/sample_authentication_async.py
index 8f9ff7e9af79..8588c30e8a6b 100644
--- a/sdk/metricsadvisor/azure-ai-metricsadvisor/samples/async_samples/sample_authentication_async.py
+++ b/sdk/metricsadvisor/azure-ai-metricsadvisor/samples/async_samples/sample_authentication_async.py
@@ -79,6 +79,8 @@ async def authentication_administration_client_with_aad_async():
 async def main():
     await authentication_client_with_metrics_advisor_credential_async()
     await authentication_administration_client_with_metrics_advisor_credential_async()
+    await authentication_client_with_aad_async()
+    await authentication_administration_client_with_aad_async()
 
 
 if __name__ == '__main__':

From 3a98a60e992d542020047a635fabe5ba8a66eb9b Mon Sep 17 00:00:00 2001
From: Xiang Yan <xiangyan@microsoft.com>
Date: Mon, 4 Jan 2021 11:31:09 -0800
Subject: [PATCH 08/10] update

---
 .../azure/ai/metricsadvisor/_generated/_configuration.py      | 1 -
 .../azure/ai/metricsadvisor/_generated/aio/_configuration.py  | 1 -
 .../metricsadvisor/_metrics_advisor_administration_client.py  | 4 +++-
 .../azure/ai/metricsadvisor/_metrics_advisor_client.py        | 4 +++-
 .../aio/_metrics_advisor_administration_client_async.py       | 4 +++-
 .../ai/metricsadvisor/aio/_metrics_advisor_client_async.py    | 4 +++-
 6 files changed, 12 insertions(+), 6 deletions(-)

diff --git a/sdk/metricsadvisor/azure-ai-metricsadvisor/azure/ai/metricsadvisor/_generated/_configuration.py b/sdk/metricsadvisor/azure-ai-metricsadvisor/azure/ai/metricsadvisor/_generated/_configuration.py
index ae85bde30aed..7b349a754686 100644
--- a/sdk/metricsadvisor/azure-ai-metricsadvisor/azure/ai/metricsadvisor/_generated/_configuration.py
+++ b/sdk/metricsadvisor/azure-ai-metricsadvisor/azure/ai/metricsadvisor/_generated/_configuration.py
@@ -38,7 +38,6 @@ def __init__(
         super(AzureCognitiveServiceMetricsAdvisorRESTAPIOpenAPIV2Configuration, self).__init__(**kwargs)
 
         self.endpoint = endpoint
-        self.credential_scopes = kwargs.pop('credential_scopes', ['https://cognitiveservices.azure.com/.default'])
         kwargs.setdefault('sdk_moniker', 'ai-metricsadvisor/{}'.format(VERSION))
         self._configure(**kwargs)
 
diff --git a/sdk/metricsadvisor/azure-ai-metricsadvisor/azure/ai/metricsadvisor/_generated/aio/_configuration.py b/sdk/metricsadvisor/azure-ai-metricsadvisor/azure/ai/metricsadvisor/_generated/aio/_configuration.py
index a951e45639b8..19f2549a0028 100644
--- a/sdk/metricsadvisor/azure-ai-metricsadvisor/azure/ai/metricsadvisor/_generated/aio/_configuration.py
+++ b/sdk/metricsadvisor/azure-ai-metricsadvisor/azure/ai/metricsadvisor/_generated/aio/_configuration.py
@@ -33,7 +33,6 @@ def __init__(
         super(AzureCognitiveServiceMetricsAdvisorRESTAPIOpenAPIV2Configuration, self).__init__(**kwargs)
 
         self.endpoint = endpoint
-        self.credential_scopes = kwargs.pop('credential_scopes', ['https://cognitiveservices.azure.com/.default'])
         kwargs.setdefault('sdk_moniker', 'ai-metricsadvisor/{}'.format(VERSION))
         self._configure(**kwargs)
 
diff --git a/sdk/metricsadvisor/azure-ai-metricsadvisor/azure/ai/metricsadvisor/_metrics_advisor_administration_client.py b/sdk/metricsadvisor/azure-ai-metricsadvisor/azure/ai/metricsadvisor/_metrics_advisor_administration_client.py
index 3c13b2c3a7af..cda8acb562fc 100644
--- a/sdk/metricsadvisor/azure-ai-metricsadvisor/azure/ai/metricsadvisor/_metrics_advisor_administration_client.py
+++ b/sdk/metricsadvisor/azure-ai-metricsadvisor/azure/ai/metricsadvisor/_metrics_advisor_administration_client.py
@@ -190,7 +190,9 @@ def __init__(self, endpoint, credential, **kwargs):
             )
         else:
             if hasattr(credential, "get_token"):
-                credential_policy = BearerTokenCredentialPolicy(credential, *self.credential_scopes)
+                credential_scopes = kwargs.pop('credential_scopes',
+                                               ['https://cognitiveservices.azure.com/.default'])
+                credential_policy = BearerTokenCredentialPolicy(credential, *credential_scopes)
             else:
                 raise TypeError("Please provide an instance from azure-identity "
                                 "or a class that implement the 'get_token protocol")
diff --git a/sdk/metricsadvisor/azure-ai-metricsadvisor/azure/ai/metricsadvisor/_metrics_advisor_client.py b/sdk/metricsadvisor/azure-ai-metricsadvisor/azure/ai/metricsadvisor/_metrics_advisor_client.py
index f90967ee854f..96bcfe3f53e9 100644
--- a/sdk/metricsadvisor/azure-ai-metricsadvisor/azure/ai/metricsadvisor/_metrics_advisor_client.py
+++ b/sdk/metricsadvisor/azure-ai-metricsadvisor/azure/ai/metricsadvisor/_metrics_advisor_client.py
@@ -90,7 +90,9 @@ def __init__(self, endpoint, credential, **kwargs):
             )
         else:
             if hasattr(credential, "get_token"):
-                credential_policy = BearerTokenCredentialPolicy(credential, *self.credential_scopes)
+                credential_scopes = kwargs.pop('credential_scopes',
+                                               ['https://cognitiveservices.azure.com/.default'])
+                credential_policy = BearerTokenCredentialPolicy(credential, *credential_scopes)
             else:
                 raise TypeError("Please provide an instance from azure-identity "
                                 "or a class that implement the 'get_token protocol")
diff --git a/sdk/metricsadvisor/azure-ai-metricsadvisor/azure/ai/metricsadvisor/aio/_metrics_advisor_administration_client_async.py b/sdk/metricsadvisor/azure-ai-metricsadvisor/azure/ai/metricsadvisor/aio/_metrics_advisor_administration_client_async.py
index 24c940222b93..f8d078f82c45 100644
--- a/sdk/metricsadvisor/azure-ai-metricsadvisor/azure/ai/metricsadvisor/aio/_metrics_advisor_administration_client_async.py
+++ b/sdk/metricsadvisor/azure-ai-metricsadvisor/azure/ai/metricsadvisor/aio/_metrics_advisor_administration_client_async.py
@@ -100,7 +100,9 @@ def __init__(self, endpoint: str, credential: MetricsAdvisorKeyCredential, **kwa
             )
         else:
             if hasattr(credential, "get_token"):
-                credential_policy = AsyncBearerTokenCredentialPolicy(credential, *self.credential_scopes)
+                credential_scopes = kwargs.pop('credential_scopes',
+                                               ['https://cognitiveservices.azure.com/.default'])
+                credential_policy = AsyncBearerTokenCredentialPolicy(credential, *credential_scopes)
             else:
                 raise TypeError("Please provide an instance from azure-identity "
                                 "or a class that implement the 'get_token protocol")
diff --git a/sdk/metricsadvisor/azure-ai-metricsadvisor/azure/ai/metricsadvisor/aio/_metrics_advisor_client_async.py b/sdk/metricsadvisor/azure-ai-metricsadvisor/azure/ai/metricsadvisor/aio/_metrics_advisor_client_async.py
index 8cbcc7efb1c6..c0acbc1e53f4 100644
--- a/sdk/metricsadvisor/azure-ai-metricsadvisor/azure/ai/metricsadvisor/aio/_metrics_advisor_client_async.py
+++ b/sdk/metricsadvisor/azure-ai-metricsadvisor/azure/ai/metricsadvisor/aio/_metrics_advisor_client_async.py
@@ -90,7 +90,9 @@ def __init__(self, endpoint, credential, **kwargs):
             )
         else:
             if hasattr(credential, "get_token"):
-                credential_policy = AsyncBearerTokenCredentialPolicy(credential, *self.credential_scopes)
+                credential_scopes = kwargs.pop('credential_scopes',
+                                               ['https://cognitiveservices.azure.com/.default'])
+                credential_policy = AsyncBearerTokenCredentialPolicy(credential, *credential_scopes)
             else:
                 raise TypeError("Please provide an instance from azure-identity "
                                 "or a class that implement the 'get_token protocol")

From a47d97d4152447e3bdfa4c752ded54800220eba5 Mon Sep 17 00:00:00 2001
From: Xiang Yan <xiangyan@microsoft.com>
Date: Thu, 21 Jan 2021 09:42:15 -0800
Subject: [PATCH 09/10] update tests

---
 ...live_async.test_list_incident_root_cause.yaml | 16 +++++++++-------
 .../test_metrics_advisor_client_live_async.py    |  2 +-
 ...lient_live.test_list_incident_root_cause.yaml | 14 ++++++++------
 .../tests/test_metrics_advisor_client_live.py    |  2 +-
 4 files changed, 19 insertions(+), 15 deletions(-)

diff --git a/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/async_tests/recordings/test_metrics_advisor_client_live_async.test_list_incident_root_cause.yaml b/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/async_tests/recordings/test_metrics_advisor_client_live_async.test_list_incident_root_cause.yaml
index ee1478df3871..e6883ae02873 100644
--- a/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/async_tests/recordings/test_metrics_advisor_client_live_async.test_list_incident_root_cause.yaml
+++ b/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/async_tests/recordings/test_metrics_advisor_client_live_async.test_list_incident_root_cause.yaml
@@ -10,18 +10,20 @@ interactions:
     uri: https://js-metrics-advisor.cognitiveservices.azure.com/metricsadvisor/v1.0/enrichment/anomalyDetection/configurations/anomaly_detection_configuration_id/incidents/incident_id/rootCause
   response:
     body:
-      string: '{"value":[]}'
+      string: '{"value":[{"rootCause":{"dimension":{"category":"Electronics (Consumer)","dimension_name":"Karachi"}},"path":["dimension_name"],"score":0.34265262137636504,"description":"Increase
+        on category = Electronics (Consumer) | dimension_name = Karachi contributes
+        the most to current incident."}]}'
     headers:
-      apim-request-id: 3c42574e-9e4a-4245-b3f1-c2a98826fbca
-      content-length: '12'
+      apim-request-id: c4e2a911-f194-4d76-a791-cf5d81ff34d6
+      content-length: '259'
       content-type: application/json; charset=utf-8
-      date: Sat, 26 Dec 2020 19:42:34 GMT
+      date: Thu, 21 Jan 2021 17:39:09 GMT
       strict-transport-security: max-age=31536000; includeSubDomains; preload
       x-content-type-options: nosniff
-      x-envoy-upstream-service-time: '357'
-      x-request-id: 3c42574e-9e4a-4245-b3f1-c2a98826fbca
+      x-envoy-upstream-service-time: '411'
+      x-request-id: c4e2a911-f194-4d76-a791-cf5d81ff34d6
     status:
       code: 200
       message: OK
-    url: https://js-metrics-advisor.cognitiveservices.azure.com//metricsadvisor/v1.0/enrichment/anomalyDetection/configurations/fb5a6ed6-2b9e-4b72-8b0c-0046ead1c15c/incidents/db1db3a183d1b84a72d25775e7ecc9c4-175434e3400/rootCause
+    url: https://js-metrics-advisor.cognitiveservices.azure.com//metricsadvisor/v1.0/enrichment/anomalyDetection/configurations/fb5a6ed6-2b9e-4b72-8b0c-0046ead1c15c/incidents/2583ff47fef9174e6d6bfe73415ad914-174d2024c00/rootCause
 version: 1
diff --git a/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/async_tests/test_metrics_advisor_client_live_async.py b/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/async_tests/test_metrics_advisor_client_live_async.py
index 5d7fc043c063..535a39494b39 100644
--- a/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/async_tests/test_metrics_advisor_client_live_async.py
+++ b/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/async_tests/test_metrics_advisor_client_live_async.py
@@ -84,7 +84,7 @@ async def test_list_incident_root_cause(self):
             tolist = []
             async for result in results:
                 tolist.append(result)
-            assert len(tolist) == 0
+            assert len(tolist) > 0
 
     @AzureTestCase.await_prepared_test
     async def test_list_metric_enriched_series_data(self):
diff --git a/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_metrics_advisor_client_live.test_list_incident_root_cause.yaml b/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_metrics_advisor_client_live.test_list_incident_root_cause.yaml
index fb2464f6f36f..4f4324d09798 100644
--- a/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_metrics_advisor_client_live.test_list_incident_root_cause.yaml
+++ b/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/recordings/test_metrics_advisor_client_live.test_list_incident_root_cause.yaml
@@ -14,24 +14,26 @@ interactions:
     uri: https://js-metrics-advisor.cognitiveservices.azure.com/metricsadvisor/v1.0/enrichment/anomalyDetection/configurations/anomaly_detection_configuration_id/incidents/incident_id/rootCause
   response:
     body:
-      string: '{"value":[]}'
+      string: '{"value":[{"rootCause":{"dimension":{"category":"Electronics (Consumer)","dimension_name":"Karachi"}},"path":["dimension_name"],"score":0.34265262137636504,"description":"Increase
+        on category = Electronics (Consumer) | dimension_name = Karachi contributes
+        the most to current incident."}]}'
     headers:
       apim-request-id:
-      - 767561aa-51ee-47fe-9db0-039067b94a7d
+      - 73fde90d-80c5-465d-a7e8-7baca6732c9d
       content-length:
-      - '12'
+      - '259'
       content-type:
       - application/json; charset=utf-8
       date:
-      - Sat, 26 Dec 2020 19:35:35 GMT
+      - Thu, 21 Jan 2021 17:38:38 GMT
       strict-transport-security:
       - max-age=31536000; includeSubDomains; preload
       x-content-type-options:
       - nosniff
       x-envoy-upstream-service-time:
-      - '577'
+      - '855'
       x-request-id:
-      - 767561aa-51ee-47fe-9db0-039067b94a7d
+      - 73fde90d-80c5-465d-a7e8-7baca6732c9d
     status:
       code: 200
       message: OK
diff --git a/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/test_metrics_advisor_client_live.py b/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/test_metrics_advisor_client_live.py
index eeaecdb12cb5..02b1b5941e10 100644
--- a/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/test_metrics_advisor_client_live.py
+++ b/sdk/metricsadvisor/azure-ai-metricsadvisor/tests/test_metrics_advisor_client_live.py
@@ -60,7 +60,7 @@ def test_list_incident_root_cause(self):
             detection_configuration_id=self.anomaly_detection_configuration_id,
             incident_id=self.incident_id,
         ))
-        assert len(results) == 0
+        assert len(results) > 0
 
     def test_list_metric_enriched_series_data(self):
         series_identity = {"city": "Los Angeles"}

From 095dfdd35e083bd5d98ffabf482d63578c8ec522 Mon Sep 17 00:00:00 2001
From: Xiang Yan <xiangyan@microsoft.com>
Date: Thu, 21 Jan 2021 09:56:53 -0800
Subject: [PATCH 10/10] update docstring

---
 .../azure/ai/metricsadvisor/_metrics_advisor_client.py          | 2 +-
 .../aio/_metrics_advisor_administration_client_async.py         | 2 +-
 .../ai/metricsadvisor/aio/_metrics_advisor_client_async.py      | 2 +-
 3 files changed, 3 insertions(+), 3 deletions(-)

diff --git a/sdk/metricsadvisor/azure-ai-metricsadvisor/azure/ai/metricsadvisor/_metrics_advisor_client.py b/sdk/metricsadvisor/azure-ai-metricsadvisor/azure/ai/metricsadvisor/_metrics_advisor_client.py
index 96bcfe3f53e9..f4da8afffded 100644
--- a/sdk/metricsadvisor/azure-ai-metricsadvisor/azure/ai/metricsadvisor/_metrics_advisor_client.py
+++ b/sdk/metricsadvisor/azure-ai-metricsadvisor/azure/ai/metricsadvisor/_metrics_advisor_client.py
@@ -62,7 +62,7 @@ class MetricsAdvisorClient(object):
     :param credential: An instance of ~azure.ai.metricsadvisor.MetricsAdvisorKeyCredential.
         which requires both subscription key and API key. Or an object which can provide an access
         token for the vault, such as a credential from :mod:`azure.identity`
-    :type credential: ~azure.ai.metricsadvisor.MetricsAdvisorKeyCredential
+    :type credential: ~azure.ai.metricsadvisor.MetricsAdvisorKeyCredential or ~azure.core.credentials.TokenCredential
     :keyword Pipeline pipeline: If omitted, the standard pipeline is used.
     :keyword HttpTransport transport: If omitted, the standard pipeline is used.
     :keyword list[HTTPPolicy] policies: If omitted, the standard pipeline is used.
diff --git a/sdk/metricsadvisor/azure-ai-metricsadvisor/azure/ai/metricsadvisor/aio/_metrics_advisor_administration_client_async.py b/sdk/metricsadvisor/azure-ai-metricsadvisor/azure/ai/metricsadvisor/aio/_metrics_advisor_administration_client_async.py
index f8d078f82c45..0f3d762f7eb5 100644
--- a/sdk/metricsadvisor/azure-ai-metricsadvisor/azure/ai/metricsadvisor/aio/_metrics_advisor_administration_client_async.py
+++ b/sdk/metricsadvisor/azure-ai-metricsadvisor/azure/ai/metricsadvisor/aio/_metrics_advisor_administration_client_async.py
@@ -68,7 +68,7 @@ class MetricsAdvisorAdministrationClient(object):  # pylint:disable=too-many-pub
     :param credential: An instance of ~azure.ai.metricsadvisor.MetricsAdvisorKeyCredential.
         which requires both subscription key and API key. Or an object which can provide an access
         token for the vault, such as a credential from :mod:`azure.identity`
-    :type credential: ~azure.ai.metricsadvisor.MetricsAdvisorKeyCredential
+    :type credential: ~azure.ai.metricsadvisor.MetricsAdvisorKeyCredential or ~azure.core.credentials.TokenCredential
 
     .. admonition:: Example:
 
diff --git a/sdk/metricsadvisor/azure-ai-metricsadvisor/azure/ai/metricsadvisor/aio/_metrics_advisor_client_async.py b/sdk/metricsadvisor/azure-ai-metricsadvisor/azure/ai/metricsadvisor/aio/_metrics_advisor_client_async.py
index c0acbc1e53f4..8347204fc87e 100644
--- a/sdk/metricsadvisor/azure-ai-metricsadvisor/azure/ai/metricsadvisor/aio/_metrics_advisor_client_async.py
+++ b/sdk/metricsadvisor/azure-ai-metricsadvisor/azure/ai/metricsadvisor/aio/_metrics_advisor_client_async.py
@@ -62,7 +62,7 @@ class MetricsAdvisorClient(object):
     :param credential: An instance of ~azure.ai.metricsadvisor.MetricsAdvisorKeyCredential.
         which requires both subscription key and API key. Or an object which can provide an access
         token for the vault, such as a credential from :mod:`azure.identity`
-    :type credential: ~azure.ai.metricsadvisor.MetricsAdvisorKeyCredential
+    :type credential: ~azure.ai.metricsadvisor.MetricsAdvisorKeyCredential or ~azure.core.credentials.TokenCredential
     :keyword Pipeline pipeline: If omitted, the standard pipeline is used.
     :keyword HttpTransport transport: If omitted, the standard pipeline is used.
     :keyword list[HTTPPolicy] policies: If omitted, the standard pipeline is used.