Merge branch 'MicrosoftDocs:main' into heidist-june12

HeidiSteen · web-flow · commit 0a07aec83f56 · 2024-06-20T15:49:31.000-07:00
diff --git a/articles/active-directory-b2c/enable-authentication-spa-app.md b/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:
diff --git a/articles/active-directory-b2c/index-service.yml b/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
   
diff --git a/articles/active-directory-b2c/integrate-with-app-code-samples.md b/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
diff --git a/articles/ai-services/openai/includes/chatgpt-javascript.md b/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).
diff --git a/articles/ai-services/openai/includes/javascript.md b/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).
diff --git a/articles/app-service/tutorial-connect-app-access-microsoft-graph-as-app-javascript.md b/articles/app-service/tutorial-connect-app-access-microsoft-graph-as-app-javascript.md
@@ -26,9 +26,6 @@ Your web app now has the required permissions and also adds Microsoft Graph's cl
 
 The `DefaultAzureCredential` class from [@azure/identity](https://github.com/Azure/azure-sdk-for-js/blob/main/sdk/identity/identity/README.md) package is used to get a token credential for your code to authorize requests to Azure Storage. Create an instance of the `DefaultAzureCredential` class, which uses the managed identity to fetch tokens and attach them to the service client. The following code example gets the authenticated token credential and uses it to create a service client object, which gets the users in the group.
 
-To see this code as part of a sample application, see the: 
-* [sample on GitHub](https://github.com/Azure-Samples/ms-identity-easyauth-nodejs-storage-graphapi/tree/main/3-WebApp-graphapi-managed-identity).
-
 > [!NOTE]
 > The [@azure/identity](https://github.com/Azure/azure-sdk-for-js/blob/main/sdk/identity/identity/README.md) package isn't required in your web app for basic authentication/authorization or to authenticate requests with Microsoft Graph. It's possible to [securely call downstream APIs](tutorial-auth-aad.md#call-api-securely-from-server-code) with only the App Service authentication/authorization module enabled.
 > 
@@ -63,7 +60,7 @@ const appSettings = {
 
 ### Call Microsoft Graph on behalf of the app
 
-The following code shows how to call [Microsoft Graph controller](https://github.com/Azure-Samples/ms-identity-easyauth-nodejs-storage-graphapi/blob/main/2-WebApp-graphapi-on-behalf/controllers/graphController.js) as the app and get some user information.
+The following code shows how to call Microsoft Graph controller as the app and get some user information.
 
 ```javascript
 // graphController.js
@@ -94,7 +91,7 @@ exports.getUsersPage = async(req, res, next) => {
 }
 ```
 
-The previous code relies on the following [getAuthenticatedClient](https://github.com/Azure-Samples/ms-identity-easyauth-nodejs-storage-graphapi/blob/main/3-WebApp-graphapi-managed-identity/utils/graphHelper.js) function to return Microsoft Graph client.
+The previous code relies on the following getAuthenticatedClient function to return Microsoft Graph client.
 
 ```javascript
 // utils/graphHelper.js
diff --git a/articles/app-service/tutorial-connect-app-access-microsoft-graph-as-user-javascript.md b/articles/app-service/tutorial-connect-app-access-microsoft-graph-as-user-javascript.md
@@ -24,9 +24,6 @@ ms.subservice: web-apps
 
 Your web app now has the required permissions and also adds Microsoft Graph's client ID to the login parameters.
 
-To see this code as part of a sample application, see the: 
-* [Sample on GitHub](https://github.com/Azure-Samples/ms-identity-easyauth-nodejs-storage-graphapi/tree/main/2-WebApp-graphapi-on-behalf).
-
 ### Install client library packages
 
 Install the [@azure/identity](https://github.com/Azure/azure-sdk-for-js/blob/main/sdk/identity/identity/README.md) and the [@microsoft/microsoft-graph-client](https://www.npmjs.com/package/@microsoft/microsoft-graph-client?activeTab=readme) packages in your project with npm.
@@ -37,7 +34,7 @@ npm install @microsoft/microsoft-graph-client
 
 ### Configure authentication information
 
-Create an object to hold the [authentication settings](https://github.com/Azure-Samples/ms-identity-easyauth-nodejs-storage-graphapi/blob/main/2-WebApp-graphapi-on-behalf/app.js):
+Create an object to hold the authentication settings:
 
 ```javascript
 // partial code in app.js
@@ -63,7 +60,7 @@ const appSettings = {
 
 ### Call Microsoft Graph on behalf of the user
 
-The following code shows how to call [Microsoft Graph controller](https://github.com/Azure-Samples/ms-identity-easyauth-nodejs-storage-graphapi/blob/main/2-WebApp-graphapi-on-behalf/controllers/graphController.js) as the app and get some user information.
+The following code shows how to call Microsoft Graph controller as the app and get some user information.
 
 ```javascript
 // controllers/graphController.js
@@ -92,7 +89,7 @@ exports.getProfilePage = async(req, res, next) => {
 }
 ```
 
-The previous code relies on the following [getAuthenticatedClient](https://github.com/Azure-Samples/ms-identity-easyauth-nodejs-storage-graphapi/blob/main/2-WebApp-graphapi-on-behalf/utils/graphHelper.js) function to return Microsoft Graph client.
+The previous code relies on the following getAuthenticatedClient function to return Microsoft Graph client.
 
 ```javascript
 // utils/graphHelper.js
diff --git a/articles/app-service/tutorial-connect-app-access-storage-javascript.md b/articles/app-service/tutorial-connect-app-access-storage-javascript.md
@@ -23,9 +23,6 @@ ms.subservice: web-apps
 ## Access Blob Storage
 The `DefaultAzureCredential` class from [@azure/identity](https://github.com/Azure/azure-sdk-for-js/blob/main/sdk/identity/identity/README.md) package is used to get a token credential for your code to authorize requests to Azure Storage. The `BlobServiceClient` class from [@azure/storage-blob](https://github.com/Azure/azure-sdk-for-js/tree/main/sdk/storage/storage-blob) package is used to upload a new blob to storage. Create an instance of the `DefaultAzureCredential` class, which uses the managed identity to fetch tokens and attach them to the blob service client. The following code example gets the authenticated token credential and uses it to create a service client object, which uploads a new blob.
 
-To see this code as part of a sample application, see *StorageHelper.js* in the:
-* [Sample on GitHub](https://github.com/Azure-Samples/ms-identity-easyauth-nodejs-storage-graphapi/tree/main/1-WebApp-storage-managed-identity).
-
 ## JavaScript example
 
 ```nodejs
diff --git a/articles/azure-health-insights/radiology-insights/tutorial.md b/articles/azure-health-insights/radiology-insights/tutorial.md
@@ -25,7 +25,7 @@ In this tutorial, you:
 
 If you don’t have a service subscription, create a [free trial account](//azure.microsoft.com/free/ai-services). 
 
-A complete working example of the code contained in this tutorial (with some extra additions) can be found here: [SampleFollowupRecommendationInferenceAsync](https://github.com/Azure/azure-sdk-for-java/blob/main/sdk/healthinsights/azure-health-insights-radiologyinsights/src/samples/java/com/azure/health/insights/radiologyinsights/SampleFollowupRecommendationInferenceAsync.java).
+A complete working example of the code contained in this tutorial (with some extra additions) can be found here: [SampleFollowupRecommendationInferenceAsync](https://github.com/Azure/azure-sdk-for-java/blob/main/sdk/healthinsights/azure-health-insights-radiologyinsights/src/samples/java/com/azure/health/insights/radiologyinsights/SampleCriticalResultInferenceAsync.java).
 
 ## Prerequisites
 
@@ -159,7 +159,7 @@ If you created a resource or resource group for this tutorial, these resources c
 
 ## Related content
 
-* [SampleFollowupRecommendationInferenceAsync](https://github.com/Azure/azure-sdk-for-java/blob/main/sdk/healthinsights/azure-health-insights-radiologyinsights/src/samples/java/com/azure/health/insights/radiologyinsights/SampleFollowupRecommendationInferenceAsync.java)
+* [SampleFollowupRecommendationInferenceAsync](https://github.com/Azure/azure-sdk-for-java/blob/main/sdk/healthinsights/azure-health-insights-radiologyinsights/src/samples/java/com/azure/health/insights/radiologyinsights/SampleCriticalResultInferenceAsync.java)
 * [Deploy Azure AI Health Insights using the Azure portal](../deploy-portal.md)
 <!---* [Deploy Azure Health Insights using CLI or PowerShell](get-started-CLI.md)--->
 * [Azure Cognitive Services Health Insights Radiology Insights client library for Java](https://github.com/Azure/azure-sdk-for-java/blob/main/sdk/healthinsights/azure-health-insights-radiologyinsights/README.md)
diff --git a/articles/azure-monitor/logs/data-retention-archive.md b/articles/azure-monitor/logs/data-retention-archive.md
@@ -14,6 +14,8 @@ Azure Monitor Logs retains data in two states:
 * **Interactive retention**: Lets you retain Analytics logs for [interactive queries](../logs/get-started-queries.md) of up to 2 years.
 * **Archive**: Lets you keep older, less used data in your workspace at a reduced cost. You can access data in the archived state by using [search jobs](../logs/search-jobs.md) and [restore](../logs/restore.md). You can keep data in archived state for up to 12 years. 
 
+The default free-tier retention period is "interactive retention" for 30 days. 
+
 This article describes how to configure data retention and archiving.
 
 ## How retention and archiving work
diff --git a/articles/event-grid/subscribe-to-graph-api-events.md b/articles/event-grid/subscribe-to-graph-api-events.md
@@ -213,7 +213,6 @@ Web application samples are available for the following languages:
 
 - [C# sample](https://github.com/microsoftgraph/msgraph-sample-eventgrid-notifications-dotnet). It's an up-to-date sample that includes how to create and renew Graph API subscriptions and walks you through some of the steps to enable the flow of events.
 - [Java sample](https://github.com/microsoftgraph/java-spring-webhooks-sample)
-  - [GraphAPIController](https://github.com/robece/event-grid-ms-graph-api-java-snippet) contains sample code to create, delete, and renew a Graph API subscription. It must be used along with the Java sample application.
 - [NodeJS sample](https://github.com/microsoftgraph/nodejs-webhooks-sample).
 
 > [!IMPORTANT]
diff --git a/articles/machine-learning/v1/how-to-deploy-azure-container-instance.md b/articles/machine-learning/v1/how-to-deploy-azure-container-instance.md
@@ -28,7 +28,7 @@ For information on quota and region availability for ACI, see [Quotas and region
 > [!IMPORTANT]
 > It is highly advised to debug locally before deploying to the web service, for more information see [Debug Locally](how-to-troubleshoot-deployment-local.md)
 >
-> You can also refer to Azure Machine Learning - [Deploy to Local Notebook](https://github.com/Azure/MachineLearningNotebooks/tree/master/how-to-use-azureml/deployment/deploy-to-local)
+> You can also refer to Azure Machine Learning - [Deploy to Local Notebook](https://github.com/Azure/MachineLearningNotebooks/tree/master/how-to-use-azureml)
 
 ## Prerequisites
 
diff --git a/articles/machine-learning/v1/how-to-enable-app-insights.md b/articles/machine-learning/v1/how-to-enable-app-insights.md
@@ -24,7 +24,7 @@ In this article, you learn how to collect data from models deployed to web servi
 * Dependency rates, response times, and failure rates
 * Exceptions
 
-The [enable-app-insights-in-production-service.ipynb](https://github.com/Azure/MachineLearningNotebooks/blob/master/how-to-use-azureml/deployment/enable-app-insights-in-production-service/enable-app-insights-in-production-service.ipynb) notebook demonstrates concepts in this article.
+The [enable-app-insights-in-production-service.ipynb](https://github.com/Azure/MachineLearningNotebooks/tree/master/how-to-use-azureml) notebook demonstrates concepts in this article.
  
 [!INCLUDE [aml-clone-in-azure-notebook](../includes/aml-clone-for-examples.md)]
 
diff --git a/articles/machine-learning/v1/how-to-troubleshoot-deployment-local.md b/articles/machine-learning/v1/how-to-troubleshoot-deployment-local.md
@@ -58,7 +58,7 @@ The local inference server allows you to quickly debug your entry script (`score
 
 ## Debug locally
 
-You can find a sample [local deployment notebook](https://github.com/Azure/MachineLearningNotebooks/blob/master/how-to-use-azureml/deployment/deploy-to-local/register-model-deploy-local.ipynb) in the  [MachineLearningNotebooks](https://github.com/Azure/MachineLearningNotebooks) repo to explore a runnable example.
+You can find a sample [local deployment notebook](https://github.com/Azure/MachineLearningNotebooks/tree/master/how-to-use-azureml) in the  [MachineLearningNotebooks](https://github.com/Azure/MachineLearningNotebooks) repo to explore a runnable example.
 
 > [!WARNING]
 > Local web service deployments are not supported for production scenarios.
diff --git a/articles/virtual-machines/field-programmable-gate-arrays-attestation.md b/articles/virtual-machines/field-programmable-gate-arrays-attestation.md
@@ -56,14 +56,6 @@ There are several ways to copy the file; an example using the az storage upload
 
 `az storage blob upload --account-name <storage account to receive netlist> --container-name <blob container name> --name <blob filename> --file <local file with netlist>`
 
-## Download the attestation scripts  
-
-The Validation scripts can be downloaded from the following Azure storage blob container:  
-
-[https://fpgaattestation.blob.core.windows.net/validationscripts/validate.zip](https://fpgaattestation.blob.core.windows.net/validationscripts/validate.zip)
-
-The zip file has two PowerShell scripts, one to submit and the other to monitor while the third file is a bash script which performs both functions.  
-
 ## Running the attestation scripts  
 
 To run the scripts, you will need to provide the name of your storage account, the name of the blob container where the netlist file is stored and the name of the netlist file. You will also need to create a Service shared access signature (SAS) that grants read/write access to your container (not the netlist). This SAS is used by the attestation service to make a local copy of your netlist file and to write back the resulting output files of the validation process to your container.  
