Merge branch 'main' of https://github.com/MicrosoftDocs/azure-docs-pr into yelevin/aux-logs-ga

Author: yelevin

.openpublishing.redirection.json

@@ -1,5 +1,10 @@
 {
   "redirections": [
+    {
+      "source_path": "articles/network-watcher/nsg-flow-logs-rest.md",
+      "redirect_url": "/previous-versions/azure/network-watcher/nsg-flow-logs-rest",
+      "redirect_document_id": false
+    },
     {
       "source_path": "articles/automation/update-management/configure-alerts.md",
       "redirect_url": "/azure/update-manager/manage-alerts",

articles/active-directory-b2c/enable-authentication-wpf-desktop-app-options.md

@@ -129,4 +129,4 @@ During the [desktop app registration](configure-authentication-sample-wpf-deskto
 
 ## Next steps
 
-- To learn more, see [MSAL for .NET, UWP, NetCore, and Xamarin configuration options](https://github.com/AzureAD/microsoft-authentication-library-for-dotnet/wiki).
+- To learn more, see [MSAL for .NET, UWP and NetCore configuration options](https://github.com/AzureAD/microsoft-authentication-library-for-dotnet/wiki).

articles/active-directory-b2c/index-mobile.yml

@@ -50,5 +50,3 @@ landingContent:
         links:
           - text: iOS (Objective-C)
             url: https://github.com/Azure-Samples/active-directory-b2c-ios-native-appauth
-          - text: Xamarin native  
-            url: https://github.com/Azure-Samples/active-directory-b2c-xamarin-native

articles/active-directory-b2c/integrate-with-app-code-samples.md

@@ -47,7 +47,6 @@ The following tables provide links to samples for applications including iOS, An
 | [ios-native-appauth](https://github.com/Azure-Samples/active-directory-b2c-ios-native-appauth) | A sample that shows how you can use a third-party library to build an iOS application in Objective-C that authenticates Microsoft identity users to our Azure AD B2C identity service. |
 | [android-native-appauth](https://github.com/Azure-Samples/active-directory-b2c-android-native-appauth) | A sample that shows how you can use a third-party library to build an Android application that authenticates Microsoft identity users to our B2C identity service and calls a web API using OAuth 2.0 access tokens. |
 | [dotnet-desktop](https://github.com/Azure-Samples/active-directory-b2c-dotnet-desktop) | A sample that shows how a Windows Desktop .NET (WPF) application can sign in a user using Azure AD B2C, get an access token using MSAL.NET and call an API. |
-| [xamarin-native](https://github.com/Azure-Samples/active-directory-b2c-xamarin-native) | A simple Xamarin Forms app showcasing how to use MSAL to authenticate users via Azure Active Directory B2C, and access a Web API with the resulting tokens. |
 
 ## Console/Daemon apps
 

articles/api-management/azure-openai-enable-semantic-caching.md

@@ -24,7 +24,7 @@ Enable semantic caching of responses to Azure OpenAI API requests to reduce band
 
 * One or more Azure OpenAI Service APIs must be added to your API Management instance. For more information, see [Add an Azure OpenAI Service API to Azure API Management](azure-openai-api-from-specification.md).
 * The Azure OpenAI service must have deployments for the following:
-    * Chat Completion API (or Completion API) - Deployment used for API consumer calls 
+    * Chat Completion API - Deployment used for API consumer calls 
     * Embeddings API - Deployment used for semantic caching
 * The API Management instance must be configured to use managed identity authentication to the Azure OpenAI APIs. For more information, see [Authenticate and authorize access to Azure OpenAI APIs using Azure API Management ](api-management-authenticate-authorize-azure-openai.md#authenticate-with-managed-identity).
 * An [Azure Cache for Redis Enterprise](../azure-cache-for-redis/quickstart-create-redis-enterprise.md) or [Azure Managed Redis](../azure-cache-for-redis/quickstart-create-managed-redis.md) instance. The **RediSearch** module must be enabled on the Redis cache.

articles/api-management/azure-openai-semantic-cache-lookup-policy.md

@@ -17,7 +17,7 @@ ms.author: danlep
 
 [!INCLUDE [api-management-availability-all-tiers](../../includes/api-management-availability-all-tiers.md)]
 
-Use the `azure-openai-semantic-cache-lookup` policy to perform cache lookup of responses to Azure OpenAI Chat Completion API and Completion API requests from a configured external cache, based on vector proximity of the prompt to previous requests and a specified similarity score threshold. Response caching reduces bandwidth and processing requirements imposed on the backend Azure OpenAI API and lowers latency perceived by API consumers.
+Use the `azure-openai-semantic-cache-lookup` policy to perform cache lookup of responses to Azure OpenAI Chat Completion API requests from a configured external cache, based on vector proximity of the prompt to previous requests and a specified similarity score threshold. Response caching reduces bandwidth and processing requirements imposed on the backend Azure OpenAI API and lowers latency perceived by API consumers.
 
 > [!NOTE]
 > * This policy must have a corresponding [Cache responses to Azure OpenAI API requests](azure-openai-semantic-cache-store-policy.md) policy. 

articles/api-management/azure-openai-semantic-cache-store-policy.md

@@ -17,7 +17,7 @@ ms.author: danlep
 
 [!INCLUDE [api-management-availability-all-tiers](../../includes/api-management-availability-all-tiers.md)]
 
-The `azure-openai-semantic-cache-store` policy caches responses to Azure OpenAI Chat Completion API and Completion API requests to a configured external cache. Response caching reduces bandwidth and processing requirements imposed on the backend Azure OpenAI API and lowers latency perceived by API consumers.
+The `azure-openai-semantic-cache-store` policy caches responses to Azure OpenAI Chat Completion API requests to a configured external cache. Response caching reduces bandwidth and processing requirements imposed on the backend Azure OpenAI API and lowers latency perceived by API consumers.
 
 > [!NOTE]
 > * This policy must have a corresponding [Get cached responses to Azure OpenAI API requests](azure-openai-semantic-cache-lookup-policy.md) policy. 

articles/api-management/breaking-changes/direct-management-api-retirement-march-2025.md

@@ -6,7 +6,7 @@ author: dlepow
 ms.service: azure-api-management
 ms.custom: devx-track-arm-template
 ms.topic: reference
-ms.date: 05/16/2024
+ms.date: 03/11/2025
 ms.author: danlep
 ---
 
@@ -22,11 +22,13 @@ A built-in [direct management API](/rest/api/apimanagement/apimanagementrest/api
 
 ## What is the deadline for the change?
 
-The direct management API is deprecated. Support for the direct management API will no longer be available after 15 March 2025.
+The direct management API is deprecated. Support for the direct management API will no longer be available starting 15 March 2025.
 
 ## What do I need to do?
 
-You should no longer use the direct management API. Before the retirement date, update your tools, scripts, and programs to use equivalent operations in the Azure Resource Manager-based REST API instead. 
+You should no longer use the direct management API and, if it's enabled in your API Management instance, you should disable it. To detect API Management instances that have the direct management API enabled, you can use this [open-source tool](https://github.com/simonkurtz-MSFT/api-management-discover-direct-management-api-status). 
+
+Before the retirement date, update your tools, scripts, and programs that call the direct management API endpoint (`https://<service-name>.management.azure-api.net`) to use equivalent operations in the Azure Resource Manager-based REST API instead. 
 
 ## Help and support
 

articles/api-management/get-started-create-service-instance.md

@@ -5,7 +5,7 @@ author: dlepow
 ms.service: azure-api-management
 ms.topic: quickstart
 ms.custom: mvc, mode-portal, devdivchpfy22
-ms.date: 12/11/2023
+ms.date: 03/12/2025
 ms.author: danlep
 ---
 
@@ -46,12 +46,16 @@ Sign in to the [Azure portal](https://portal.azure.com).
    | **Resource name**                | A unique name for your API Management instance. The name can't be changed later. The service name refers to both the service and the corresponding Azure resource. <br/><br/> The service name is used to generate a default domain name: *\<name\>.azure-api.net.* If you would like to configure a custom domain name later, see [Configure a custom domain](configure-custom-domain.md). |
    | **Organization name**   | The name of your organization. This name is used in many places, including the title of the developer portal and sender of notification emails. |                                                         
    | **Administrator email** | The email address to which all system notifications from **API Management** will be sent.   |  
-   | **Pricing tier**        | Select **Developer** tier to evaluate the service. This tier isn't for production use. For more information about scaling the API Management tiers, see [upgrade and scale](upgrade-and-scale.md). |
+   | **Pricing tier**        | Select a [tier](api-management-features.md) with the features you need. The **Basic v2** tier is an economical choice for development and testing scenarios and is deployed in a few minutes.  |
+   | **Units**  | The number of units of capacity for the selected pricing tier. For evaluating API Management, you can accept the default value of 1 unit. |
 
-1. Select **Review + create**.
+1. On the **Monitor + secure** tab, optionally select one or more recommended add-in services to use with API Management. These services incur extra costs. For example, select **Log Analytics** to define a Log Analytics workspace you can target for API Management logs. 
 
-    > [!TIP]
-    > It can take 30 to 40 minutes to create and activate an API Management service in this tier. To quickly find a newly created service, select **Pin to dashboard**.
+1. On the **Managed identity** tab, we recommend selecting the checkbox to enable a system-assigned identity for your API Management instance. A managed identity generated by Microsoft Entra ID allows your API Management instance to easily and securely access other Microsoft Entra protected resources, such as Azure Key Vault. Azure manages this identity, so you don't have to provision or rotate any credentials.
+
+1. Optionally, on the **Tags** tab, add tags to your API Management instance. Tags are key-value pairs that help you organize and manage your Azure resources.
+
+1. On the **Review + install** tab, review the settings you selected. If you need to make changes, go back to the previous tabs. If everything looks good, select **Create**.
 
 [!INCLUDE [api-management-navigate-to-instance](../../includes/api-management-navigate-to-instance.md)]
 

articles/api-management/llm-semantic-cache-store-policy.md

@@ -16,7 +16,7 @@ ms.author: danlep
 
 [!INCLUDE [api-management-availability-all-tiers](../../includes/api-management-availability-all-tiers.md)]
 
-The `llm-semantic-cache-store` policy caches responses to chat completion API and completion API requests to a configured external cache. Response caching reduces bandwidth and processing requirements imposed on the backend Azure OpenAI API and lowers latency perceived by API consumers.
+The `llm-semantic-cache-store` policy caches responses to chat completion API requests to a configured external cache. Response caching reduces bandwidth and processing requirements imposed on the backend Azure OpenAI API and lowers latency perceived by API consumers.
 
 > [!NOTE]
 > * This policy must have a corresponding [Get cached responses to large language model API requests](llm-semantic-cache-lookup-policy.md) policy.