Merge pull request #430 from mrbullwinkle/mrb_09_20_2024_ropc

[Azure OpenAI] Managed Identity guidance

Author: prmerger-automator[bot]

articles/ai-services/metrics-advisor/data-feeds-from-different-sources.md

@@ -6,7 +6,7 @@ author: mrbullwinkle
 manager: nitinme
 ms.service: azure-ai-metrics-advisor
 ms.topic: conceptual
-ms.date: 01/19/2024
+ms.date: 09/20/2024
 ms.author: mbullwin
 ---
 
@@ -15,6 +15,9 @@ ms.author: mbullwin
 
 [!INCLUDE [Deprecation announcement](includes/deprecation.md)]
 
+> [!IMPORTANT]
+> Microsoft recommends that you use the most secure authentication flow available. Some of the authentication flows described in this article require a very high degree of trust in the application, and carries risks that are not present in other more secure flows. You should only use this flow when other more secure flows, such as managed identities, aren't viable.
+
 Use this article to find the settings and requirements for connecting different types of data sources to Azure AI Metrics Advisor. To learn about using your data with Metrics Advisor, see [Onboard your data](how-tos/onboard-your-data.md). 
 
 ## Supported authentication types

articles/ai-services/metrics-advisor/encryption.md

@@ -7,7 +7,7 @@ manager: nitinme
 ms.service: azure-ai-metrics-advisor
 ms.custom: applied-ai-non-critical-metrics-advisor
 ms.topic: how-to
-ms.date: 01/19/2024
+ms.date: 09/20/2024
 ms.author: mbullwin
 #Customer intent: As a user of the Metrics Advisor service, I want to learn how encryption at rest works.
 ---
@@ -16,6 +16,9 @@ ms.author: mbullwin
 
 [!INCLUDE [Deprecation announcement](includes/deprecation.md)]
 
+> [!IMPORTANT]
+> Microsoft recommends that you use the most secure authentication flow available. Some of the authentication flows described in this article require a very high degree of trust in the application, and carries risks that are not present in other more secure flows. You should only use this flow when other more secure flows, such as managed identities, aren't viable.
+
 Metrics Advisor service automatically encrypts your data when it's persisted to the cloud. The Metrics Advisor service encryption protects your data and helps you to meet your organizational security and compliance commitments.
 
 [!INCLUDE [cognitive-services-about-encryption](../../ai-services/includes/cognitive-services-about-encryption.md)]

articles/ai-services/metrics-advisor/includes/quickstarts/csharp.md

@@ -5,12 +5,15 @@ author: mrbullwinkle
 manager: nitinme
 ms.service: azure-ai-metrics-advisor
 ms.topic: include
-ms.date: 01/19/2024
+ms.date: 09/20/2024
 ms.author: mbullwin
 ---
 
 [Reference documentation](/dotnet/api/overview/azure/ai.metricsadvisor-readme) | [Library source code](https://github.com/Azure/azure-sdk-for-net/tree/master/sdk/metricsadvisor/Azure.AI.MetricsAdvisor/src) | [Package (NuGet)](https://www.nuget.org/packages/Azure.AI.MetricsAdvisor) | [Samples](https://github.com/Azure/azure-sdk-for-net/tree/master/sdk/metricsadvisor/Azure.AI.MetricsAdvisor/samples/README.md)
 
+> [!IMPORTANT]
+> Microsoft recommends that you use the most secure authentication flow available. Some of the authentication flows described in this article require a very high degree of trust in the application, and carries risks that are not present in other more secure flows. You should only use this flow when other more secure flows, such as managed identities, aren't viable.
+
 ## Prerequisites
 
 * Azure subscription - [Create one for free](https://azure.microsoft.com/free/cognitive-services/)

articles/ai-services/metrics-advisor/includes/quickstarts/java.md

@@ -5,12 +5,15 @@ author: mrbullwinkle
 manager: nitinme
 ms.service: azure-ai-metrics-advisor
 ms.topic: include
-ms.date: 01/19/2024
+ms.date: 09/20/2024
 ms.author: mbullwin
 ---
 
 [Reference documentation](https://westus2.dev.cognitive.microsoft.com/docs/services/MetricsAdvisor/) | [Library source code](https://github.com/Azure/azure-sdk-for-java/tree/main/sdk/metricsadvisor/azure-ai-metricsadvisor/src) | [Artifact (Maven)](https://search.maven.org/artifact/com.azure/azure-ai-metricsadvisor) | [Samples](https://github.com/Azure/azure-sdk-for-java/tree/main/sdk/metricsadvisor/azure-ai-metricsadvisor/src/samples)
 
+> [!IMPORTANT]
+> Microsoft recommends that you use the most secure authentication flow available. Some of the authentication flows described in this article require a very high degree of trust in the application, and carries risks that are not present in other more secure flows. You should only use this flow when other more secure flows, such as managed identities, aren't viable.
+
 ## Prerequisites
 
 * Azure subscription - [Create one for free](https://azure.microsoft.com/free/cognitive-services/)

articles/ai-services/metrics-advisor/includes/quickstarts/javascript.md

@@ -5,12 +5,15 @@ author: mrbullwinkle
 manager: nitinme
 ms.service: azure-ai-metrics-advisor
 ms.topic: include
-ms.date: 01/19/2024
+ms.date: 09/20/2024
 ms.author: mbullwin
 ---
 
 [Reference documentation](/java/api/overview/azure/ai-metricsadvisor-readme) | [Library source code](https://github.com/Azure/azure-sdk-for-js/blob/master/sdk/metricsadvisor/ai-metrics-advisor/README.md) | [Package (npm)](https://www.npmjs.com/package/@azure/ai-metrics-advisor) | [Samples](https://github.com/Azure/azure-sdk-for-js/tree/main/sdk/metricsadvisor/ai-metrics-advisor/samples/v1/javascript)
 
+> [!IMPORTANT]
+> Microsoft recommends that you use the most secure authentication flow available. Some of the authentication flows described in this article require a very high degree of trust in the application, and carries risks that are not present in other more secure flows. You should only use this flow when other more secure flows, such as managed identities, aren't viable.
+
 ## Prerequisites
 
 * Azure subscription - [Create one for free](https://azure.microsoft.com/free/cognitive-services/)

articles/ai-services/metrics-advisor/includes/quickstarts/python.md

@@ -5,12 +5,15 @@ author: mrbullwinkle
 manager: nitinme
 ms.service: azure-ai-metrics-advisor
 ms.topic: include
-ms.date: 01/19/2024
+ms.date: 09/20/2024
 ms.author: mbullwin
 ---
 
 [Reference documentation](https://azuresdkdocs.blob.core.windows.net/$web/python/azure-ai-metricsadvisor/latest/azure.ai.metricsadvisor.html) | [Library source code](https://github.com/Azure/azure-sdk-for-python/blob/master/sdk/metricsadvisor/azure-ai-metricsadvisor/README.md) | [Package (PiPy)](https://pypi.org/project/azure-ai-metricsadvisor/) | [Samples](https://github.com/Azure/azure-sdk-for-python/blob/master/sdk/metricsadvisor/azure-ai-metricsadvisor/samples/README.md)
 
+> [!IMPORTANT]
+> Microsoft recommends that you use the most secure authentication flow available. Some of the authentication flows described in this article require a very high degree of trust in the application, and carries risks that are not present in other more secure flows. You should only use this flow when other more secure flows, such as managed identities, aren't viable.
+
 ## Prerequisites
 
 * Azure subscription - [Create one for free](https://azure.microsoft.com/free/cognitive-services/)

articles/ai-services/metrics-advisor/includes/quickstarts/rest-api.md

@@ -5,7 +5,7 @@ author: mrbullwinkle
 manager: nitinme
 ms.service: azure-ai-metrics-advisor
 ms.topic: include
-ms.date: 01/19/2024
+ms.date: 09/20/2024
 ms.author: mbullwin
 ---
 
@@ -16,6 +16,9 @@ ms.author: mbullwin
 * [Python 3.x](https://www.python.org/)
 * Your own SQL database with time series data.
 
+> [!IMPORTANT]
+> Microsoft recommends that you use the most secure authentication flow available. Some of the authentication flows described in this article require a very high degree of trust in the application, and carries risks that are not present in other more secure flows. You should only use this flow when other more secure flows, such as managed identities, aren't viable.
+
 ## Set up
 
 The example code for this quickstart will show you how to call the REST API using Python. For specific REST API calls, consult [GitHub Samples](https://github.com/Azure/azure-rest-api-specs/tree/main/specification/cognitiveservices/data-plane/MetricsAdvisor/stable/v1.0/examples)