Merge pull request #278842 from MicrosoftDocs/main

6/20/2024 PM Publish

Author: Taojunshen

articles/active-directory-b2c/enable-authentication-spa-app.md

@@ -105,12 +105,6 @@ The resources referenced by the *index.html* file are detailed in the following
 |---|---|
 |MSAL.js library| MSAL.js authentication JavaScript library [CDN path](https://github.com/AzureAD/microsoft-authentication-library-for-js/blob/dev/lib/msal-browser/docs/cdn-usage.md).|
 |[Bootstrap stylesheet](https://getbootstrap.com/) | A free front-end framework for faster and easier web development. The framework includes HTML-based and CSS-based design templates. |
-|[`policies.js`](https://github.com/Azure-Samples/ms-identity-b2c-javascript-spa/blob/main/App/policies.js) | Contains the Azure AD B2C custom policies and user flows. |
-|[`authConfig.js`](https://github.com/Azure-Samples/ms-identity-b2c-javascript-spa/blob/main/App/authConfig.js) | Contains authentication configuration parameters.|
-|[`authRedirect.js`](https://github.com/Azure-Samples/ms-identity-b2c-javascript-spa/blob/main/App/authRedirect.js) | Contains the authentication logic. |
-|[`apiConfig.js`](https://github.com/Azure-Samples/ms-identity-b2c-javascript-spa/blob/main/App/apiConfig.js) | Contains web API scopes and the API endpoint location. |
-|[`api.js`](https://github.com/Azure-Samples/ms-identity-b2c-javascript-spa/blob/main/App/api.js) | Defines the method to use to call your API and handle its response.|
-|[`ui.js`](https://github.com/Azure-Samples/ms-identity-b2c-javascript-spa/blob/main/App/ui.js) | Controls the UI elements. |
 | | |
 
 To render the SPA index file, in the *myApp* folder, create a file named *index.html*, which contains the following HTML snippet:

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

@@ -21,7 +21,7 @@ landingContent:
       - linkListType: sample
         links:
           - text: Node console application
-            url: https://github.com/Azure-Samples/ms-identity-b2c-javascript-nodejs-management/tree/main/Chapter2
+            url: https://github.com/Azure-Samples/ms-identity-docs-code-javascript
           - text: .NET Core console application
             url: https://github.com/Azure-Samples/ms-identity-dotnetcore-b2c-account-management
 

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

@@ -35,10 +35,8 @@ The following tables provide links to samples for applications including iOS, An
 
 | Sample | Description |
 |--------| ----------- |
-| [ms-identity-javascript-angular-tutorial](https://github.com/Azure-Samples/ms-identity-javascript-angular-tutorial/tree/main/3-Authorization-II/2-call-api-b2c) | An Angular single page application (SPA) calling a web API. Authentication is done with Azure AD B2C by using MSAL Angular. This sample uses the authorization code flow with PKCE. |
 | [ms-identity-javascript-react-tutorial](https://github.com/Azure-Samples/ms-identity-javascript-react-tutorial/tree/main/3-Authorization-II/2-call-api-b2c) | A React single page application (SPA) calling a web API. Authentication is done with Azure AD B2C by using MSAL React. This sample uses the authorization code flow with PKCE. |
 | [ms-identity-b2c-javascript-spa](https://github.com/Azure-Samples/ms-identity-b2c-javascript-spa) | A VanillaJS single page application (SPA) calling a web API. Authentication is done with Azure AD B2C by using MSAL.js. This sample uses the authorization code flow with PKCE. |
-| [javascript-nodejs-management](https://github.com/Azure-Samples/ms-identity-b2c-javascript-nodejs-management/tree/main/Chapter1) | A VanillaJS single page application (SPA) calling Microsoft Graph to manage users in a B2C directory. Authentication is done with Azure AD B2C by using MSAL.js. This sample uses the authorization code flow with PKCE.|
 
 ## Mobile and desktop apps
 
@@ -55,7 +53,6 @@ The following tables provide links to samples for applications including iOS, An
 
 | Sample | Description |
 |--------| ----------- |
-| [javascript-nodejs-management](https://github.com/Azure-Samples/ms-identity-b2c-javascript-nodejs-management/tree/main/Chapter2) | A Node.js and express console daemon application calling Microsoft Graph with its own identity to manage users in a B2C directory. Authentication is done with Azure AD B2C by using MSAL Node. This sample uses the authorization code flow.|
 | [dotnetcore-b2c-account-management](https://github.com/Azure-Samples/ms-identity-dotnetcore-b2c-account-management) | A .NET Core console application calling Microsoft Graph with its own identity to manage users in a B2C directory. Authentication is done with Azure AD B2C by using MSAL.NET. This sample uses the authorization code flow.|
 
 ## SAML test application

articles/ai-services/document-intelligence/containers/image-tags.md

@@ -65,7 +65,6 @@ The following containers support DocumentIntelligence v3.1 models and features:
 
 | Container name |image |
 |---|---|
-|[**Document Intelligence Studio**](https://mcr.microsoft.com/product/azure-cognitive-services/form-recognizer/studio/tags)| `mcr.microsoft.com/azure-cognitive-services/form-recognizer/studio:latest`|
 | [**Read 3.1**](https://mcr.microsoft.com/product/azure-cognitive-services/form-recognizer/read-3.1/tags) |`mcr.microsoft.com/azure-cognitive-services/form-recognizer/read-3.1:latest`|
 | [**Layout 3.1**](https://mcr.microsoft.com/en-us/product/azure-cognitive-services/form-recognizer/layout-3.1/tags) |`mcr.microsoft.com/azure-cognitive-services/form-recognizer/layout-3.1:latest`|
 | [**Invoice 3.1**](https://mcr.microsoft.com/product/azure-cognitive-services/form-recognizer/invoice-3.1/tags) |`mcr.microsoft.com/azure-cognitive-services/form-recognizer/invoice-3.1:latest`|

articles/ai-services/document-intelligence/containers/install-run.md

@@ -42,8 +42,6 @@ In this article you learn how to download, install, and run Document Intelligenc
 
 * **Read**, **Layout**, **General Document**, **Business Card**, and **Custom** models are supported by Document Intelligence v3.0 containers.
 
-* **Business Card** model is currently only supported in the [v2.1 containers](install-run.md?view=doc-intel-2.1.0&preserve-view=true).
-
 ## Prerequisites
 
 To get started, you need an active [**Azure account**](https://azure.microsoft.com/free/cognitive-services/). If you don't have one, you can [**create a free account**](https://azure.microsoft.com/free/).
@@ -576,7 +574,7 @@ services:
 
  ```
 
-The custom template container can use Azure Storage queues or in memory queues. The `Storage:ObjectStore:AzureBlob:ConnectionString` and `queue:azure:connectionstring` environment variables only need to be set if you're using Azure Storage queues. When running locally, delete these variables.
+The custom template container and Layout container can use Azure Storage queues or in memory queues. The `Storage:ObjectStore:AzureBlob:ConnectionString` and `queue:azure:connectionstring` environment variables only need to be set if you're using Azure Storage queues. When running locally, delete these variables.
 
 ### Ensure the service is running
 
@@ -610,7 +608,7 @@ Custom template containers require a few different configurations and support ot
 
 * Gather a set of at least five forms of the same type. You use this data to train the model and test a form. You can use a [sample data set](https://go.microsoft.com/fwlink/?linkid=2090451) (download and extract _sample_data.zip_).
 
-* Once you can confirm that the containers are running, open a browser and navigate to the endpoint where you have the containers deployed. If this deployment is your local machine, the endpoint is `[http://localhost:5000](http://localhost:5000)`.
+* Once you can confirm that the containers are running, open a browser and navigate to the endpoint where you have the containers deployed. If this deployment is your local machine, the endpoint is `[http://localhost:5001](http://localhost:5001)`.
 * Select the custom extraction model tile.
 * Select the `Create project` option.
 * Provide a project name and optionally a description

articles/ai-services/openai/includes/chatgpt-javascript.md

@@ -11,7 +11,7 @@ ms.author: mbullwin
 ms.date: 05/21/2024
 ---
 
-[Source code](https://github.com/openai/openai-node) | [Package (npm)](https://www.npmjs.com/package/openai) | [Samples](https://github.com/Azure/azure-sdk-for-js/tree/openai-azure-samples/sdk/openai/openai/samples/v1-beta/javascript)
+[Source code](https://github.com/openai/openai-node) | [Package (npm)](https://www.npmjs.com/package/openai)
 
 > [!NOTE]
 > This article has been updated to use the [latest OpenAI npm package](https://www.npmjs.com/package/openai) which now fully supports Azure OpenAI. If you are looking for code examples for the legacy Azure OpenAI JavaScript SDK they are currently still [available in this repo](https://github.com/Azure/azure-sdk-for-js/tree/main/sdk/openai/openai/samples/v1-beta/javascript).

articles/ai-services/openai/includes/javascript.md

@@ -11,7 +11,7 @@ ms.author: mbullwin
 ms.date: 05/20/2024
 ---
 
-[Source code](https://github.com/openai/openai-node) | [Package (npm)](https://www.npmjs.com/package/openai) | [Samples](https://github.com/Azure/azure-sdk-for-js/tree/openai-azure-samples/sdk/openai/openai/samples/v1-beta/javascript)
+[Source code](https://github.com/openai/openai-node) | [Package (npm)](https://www.npmjs.com/package/openai)
 
 > [!NOTE]
 > This article has been updated to use the [latest OpenAI npm package](https://www.npmjs.com/package/openai) which now fully supports Azure OpenAI. If you are looking for code examples for the legacy Azure OpenAI JavaScript SDK they are currently still [available in this repo](https://github.com/Azure/azure-sdk-for-js/tree/main/sdk/openai/openai/samples/v1-beta/javascript).

articles/ai-services/speech-service/includes/how-to/translate-speech/csharp.md

@@ -405,6 +405,27 @@ var translationRecognizer = new TranslationRecognizer(speechTranslationConfig, a
 
 For a complete code sample with the Speech SDK, see [speech translation samples on GitHub](https://github.com/Azure-Samples/cognitive-services-speech-sdk/blob/master/samples/csharp/sharedcontent/console/translation_samples.cs#L472).
 
+## Using custom translation in speech translation
+The custom translation feature in speech translation seamlessly integrates with the Azure Custom Translation service, allowing you to achieve more accurate and tailored translations. As the integration directly harnesses the capabilities of the Azure custom translation service, you need to use a multi-service resource to ensure the correct functioning of the complete set of features. For detailed instructions, please consult the guide on [Create a multi-service resource for Azure AI services](/azure/ai-services/multi-service-resource?tabs=windows&pivots=azportal).
+
+Additionally, for offline training of a custom translator and obtaining a "Category ID," please refer to the step-by-step script provided in the [Quickstart: Build, deploy, and use a custom model - Custom Translator](/azure/ai-services/translator/custom-translator/quickstart).
+
+```csharp
+// Creates an instance of a translation recognizer using speech translation configuration
+// You should use the same subscription key, which you used to generate the custom model before.
+// V2 endpoint is required for the “Custom Translation” feature. Example: "wss://westcentralus.stt.speech.microsoft.com/speech/universal/v2"
+
+try (SpeechTranslationConfig config = SpeechTranslationConfig.fromEndpoint(URI.create(endpointUrl), speechSubscriptionKey)) {
+
+            // Sets source and target language(s).
+           ….
+
+            // Set the category id
+            config.setCustomModelCategoryId("yourCategoryId");
+
+       ….
+}
+```
 
 [speechtranslationconfig]: /dotnet/api/microsoft.cognitiveservices.speech.speechtranslationconfig
 [audioconfig]: /dotnet/api/microsoft.cognitiveservices.speech.audio.audioconfig

articles/aks/csi-migrate-in-tree-volumes.md

@@ -515,7 +515,7 @@ Migration from in-tree to CSI is supported by creating a static volume:
 - Protect your newly migrated CSI Driver based PVs by [backing them up using Azure Backup for AKS](../backup/azure-kubernetes-service-cluster-backup.md).
 <!-- LINKS - internal -->
 [install-azure-cli]: /cli/azure/install-azure-cli
-[aks-rbac-cluster-admin-role]: manage-azure-rbac.md#create-role-assignments-for-users-to-access-the-cluster
+[aks-rbac-cluster-admin-role]: manage-azure-rbac.md#create-role-assignments-for-cluster-access
 [azure-resource-locks]: ../azure-resource-manager/management/lock-resources.md
 [csi-driver-overview]: csi-storage-drivers.md
 [aks-storage-backups-best-practices]: operator-best-practices-storage.md

articles/aks/learn/quick-kubernetes-deploy-terraform.md

@@ -49,7 +49,7 @@ Azure Kubernetes Service (AKS) is a managed Kubernetes service that lets you qui
 
 First, log into your Azure account and authenticate using one of the methods described in the following section.
 
-[!INCLUDE [authenticate-to-azure.md](~/azure-dev-docs-pr/articles/terraform/includes/authenticate-to-azure.md)]
+Terraform only supports authenticating to Azure with the Azure CLI. Authenticating using Azure PowerShell isn't supported. Therefore, while you can use the Azure PowerShell module when doing your Terraform work, you first need to [authenticate to Azure](/azure/developer/terraform/authenticate-to-azure).  
 
 ## Implement the Terraform code