Merge pull request #96145 from craigcaseyMSFT/vcraic1115a

fix broken links from CATS report

Author: ktoliver

articles/active-directory/develop/active-directory-authentication-libraries.md

@@ -43,7 +43,7 @@ The Azure Active Directory Authentication Library (ADAL) v1.0 enables applicatio
 | JavaScript |ADAL.js |[GitHub](https://github.com/AzureAD/azure-activedirectory-library-for-js) |[GitHub](https://github.com/AzureAD/azure-activedirectory-library-for-js) |[Single-page app](https://github.com/Azure-Samples/active-directory-javascript-singlepageapp-dotnet-webapi) | |
 | iOS, macOS |ADAL |[GitHub](https://github.com/AzureAD/azure-activedirectory-library-for-objc/releases) |[GitHub](https://github.com/AzureAD/azure-activedirectory-library-for-objc) |[iOS app](https://docs.microsoft.com/azure/active-directory/active-directory-devquickstarts-ios) | [Reference](http://cocoadocs.org/docsets/ADAL/2.5.1/)|
 | Android |ADAL |[Maven](https://search.maven.org/search?q=g:com.microsoft.aad+AND+a:adal&core=gav) |[GitHub](https://github.com/AzureAD/azure-activedirectory-library-for-android) |[Android app](https://docs.microsoft.com/azure/active-directory/active-directory-devquickstarts-android) | [JavaDocs](https://javadoc.io/doc/com.microsoft.aad/adal/)|
-| Node.js |ADAL |[npm](https://www.npmjs.com/package/adal-node) |[GitHub](https://github.com/AzureAD/azure-activedirectory-library-for-nodejs) | [Node.js web app](https://github.com/Azure-Samples/active-directory-node-webapp-openidconnect)|[Reference](https://docs.microsoft.com/javascript/api/adal-node/?view=azure-node-latest) |
+| Node.js |ADAL |[npm](https://www.npmjs.com/package/adal-node) |[GitHub](https://github.com/AzureAD/azure-activedirectory-library-for-nodejs) | [Node.js web app](https://github.com/Azure-Samples/active-directory-node-webapp-openidconnect)|[Reference](https://docs.microsoft.com/javascript/api/overview/azure/activedirectory) |
 | Java |ADAL4J |[Maven](https://search.maven.org/#search%7Cga%7C1%7Ca%3Aadal4j%20g%3Acom.microsoft.azure) |[GitHub](https://github.com/AzureAD/azure-activedirectory-library-for-java) |[Java web app](https://github.com/Azure-Samples/active-directory-java-webapp-openidconnect) |[Reference](https://javadoc.io/doc/com.microsoft.azure/adal4j) |
 | Python |ADAL |[GitHub](https://github.com/AzureAD/azure-activedirectory-library-for-python) |[GitHub](https://github.com/AzureAD/azure-activedirectory-library-for-python) |[Python web app](https://github.com/Azure-Samples/active-directory-python-webapp-graphapi) |[Reference](https://adal-python.readthedocs.io/) |
 

articles/aks/kubernetes-action.md

@@ -12,7 +12,7 @@ ms.author: atulmal
 
 # GitHub Actions for deploying to Kubernetes service
 
-[GitHub Actions](https://help.github.com/en/articles/about-github-actions) gives you the flexibility to build an automated software development lifecycle workflow. The Kubernetes action [azure/aks-set-context@v1]((https://github.com/Azure/aks-set-context)) facilitate deployments to Azure Kubernetes Service clusters. The action sets the target AKS cluster context, which could be used by other actions like [azure/k8s-deploy](https://github.com/Azure/k8s-deploy/tree/master), [azure/k8s-create-secret](https://github.com/Azure/k8s-create-secret/tree/master) etc. or run any kubectl commands.
+[GitHub Actions](https://help.github.com/en/articles/about-github-actions) gives you the flexibility to build an automated software development lifecycle workflow. The Kubernetes action [azure/aks-set-context@v1](https://github.com/Azure/aks-set-context) facilitate deployments to Azure Kubernetes Service clusters. The action sets the target AKS cluster context, which could be used by other actions like [azure/k8s-deploy](https://github.com/Azure/k8s-deploy/tree/master), [azure/k8s-create-secret](https://github.com/Azure/k8s-create-secret/tree/master) etc. or run any kubectl commands.
 
 > [!IMPORTANT]
 > GitHub Actions is currently in beta. You must first [sign-up to join the preview](https://github.com/features/actions) using your GitHub account.

articles/azure-databricks/databricks-connect-to-data-sources.md

@@ -38,7 +38,7 @@ The following list provides the data sources in Azure that you can use with Azur
 
     This link provides instructions on how to use the [Azure Cosmos DB Spark connector](https://github.com/Azure/azure-cosmosdb-spark) from Azure Databricks to access data in Azure Cosmos DB.
 
-- [Azure Event Hubs](/azure/databricks/data/data-sources/azure/eventhubs-connector)
+- [Azure Event Hubs](/azure/event-hubs/event-hubs-spark-connector)
 
     This link provides instructions on how to use the [Azure Event Hubs Spark connector](https://github.com/Azure/azure-event-hubs-spark) from Azure Databricks to access data in Azure Event Hubs.
 

articles/azure-databricks/howto-regional-disaster-recovery.md

@@ -280,7 +280,7 @@ To create your own regional disaster recovery topology, follow these requirement
 
 8. **Migrate Azure blob storage and Azure Data Lake Storage mounts**
 
-   Manually remount all [Azure Blob storage](/azure/databricks/data/data-sources/azure/azure-storage.html) and [Azure Data Lake Storage (Gen 2)](/azure/databricks/data/data-sources/azure/azure-datalake-gen2.html) mount points using a notebook-based solution. The storage resources would have been mounted in the primary workspace, and that has to be repeated in the secondary workspace. There is no external API for mounts.
+   Manually remount all [Azure Blob storage](/azure/databricks/data/data-sources/azure/azure-storage) and [Azure Data Lake Storage (Gen 2)](/azure/databricks/data/data-sources/azure/azure-datalake-gen2) mount points using a notebook-based solution. The storage resources would have been mounted in the primary workspace, and that has to be repeated in the secondary workspace. There is no external API for mounts.
 
 9. **Migrate cluster init scripts**
 

articles/azure-databricks/quickstart-create-databricks-workspace-portal.md

@@ -159,7 +159,7 @@ If you do not manually terminate the cluster it will automatically stop, provide
 
 ## Next steps
 
-In this article, you created a Spark cluster in Azure Databricks and ran a Spark job using data from Azure Open Datasets. You can also look at [Spark data sources](/azure/databricks/data/data-sources/index.html) to learn how to import data from other data sources into Azure Databricks. Advance to the next article to learn how to perform an ETL operation (extract, transform, and load data) using Azure Databricks.
+In this article, you created a Spark cluster in Azure Databricks and ran a Spark job using data from Azure Open Datasets. You can also look at [Spark data sources](/azure/databricks/data/data-sources/index) to learn how to import data from other data sources into Azure Databricks. Advance to the next article to learn how to perform an ETL operation (extract, transform, and load data) using Azure Databricks.
 
 > [!div class="nextstepaction"]
 >[Extract, transform, and load data using Azure Databricks](databricks-extract-load-sql-data-warehouse.md)

articles/azure-databricks/quickstart-create-databricks-workspace-resource-manager-template.md

@@ -76,7 +76,7 @@ In this section, you create an Azure Databricks workspace using the Azure Resour
 
    Select **Create cluster**. Once the cluster is running, you can attach notebooks to the cluster and run Spark jobs.
 
-For more information on creating clusters, see [Create a Spark cluster in Azure Databricks](/azure/databricks/user-guide/clusters/create).
+For more information on creating clusters, see [Create a Spark cluster in Azure Databricks](/azure/databricks/clusters/create).
 
 ## Run a Spark SQL job
 
@@ -121,7 +121,7 @@ Perform the following tasks to create a notebook in Databricks, configure the no
      For instructions on how to retrieve the storage account key, see [Manage your storage access keys](../storage/common/storage-account-manage.md#access-keys).
 
    > [!NOTE]
-   > You can also use Azure Data Lake Store with a Spark cluster on Azure Databricks. For instructions, see [Use Data Lake Store with Azure Databricks](/azure/databricks/data/data-sources/azure/azure-datalake-gen2.html).
+   > You can also use Azure Data Lake Store with a Spark cluster on Azure Databricks. For instructions, see [Use Data Lake Store with Azure Databricks](/azure/databricks/data/data-sources/azure/azure-datalake-gen2).
 
 4. Run a SQL statement to create a temporary table using data from the sample JSON data file, **small_radio_json.json**. In the following snippet, replace the placeholder values with your container name and storage account name. Paste the snippet in a code cell in the notebook, and then press SHIFT + ENTER. In the snippet, `path` denotes the location of the sample JSON file that you uploaded to your Azure Storage account.
 
@@ -181,7 +181,7 @@ If you do not manually terminate the cluster it will automatically stop, provide
 
 ## Next steps
 
-In this article, you created a Spark cluster in Azure Databricks and ran a Spark job using data in Azure storage. You can also look at [Spark data sources](/azure/databricks/data/data-sources/index.html) to learn how to import data from other data sources into Azure Databricks. You can also look at the Resource Manager template to [Create an Azure Databricks workspace with custom VNET address](https://github.com/Azure/azure-quickstart-templates/tree/master/101-databricks-workspace-with-custom-vnet-address). For the JSON syntax and properties to use in a template, see [Microsoft.Databricks/workspaces](/azure/templates/microsoft.databricks/workspaces) template reference.
+In this article, you created a Spark cluster in Azure Databricks and ran a Spark job using data in Azure storage. You can also look at [Spark data sources](/azure/databricks/data/data-sources/index) to learn how to import data from other data sources into Azure Databricks. You can also look at the Resource Manager template to [Create an Azure Databricks workspace with custom VNET address](https://github.com/Azure/azure-quickstart-templates/tree/master/101-databricks-workspace-with-custom-vnet-address). For the JSON syntax and properties to use in a template, see [Microsoft.Databricks/workspaces](/azure/templates/microsoft.databricks/workspaces) template reference.
 
 Advance to the next article to learn how to perform an ETL operation (extract, transform, and load data) using Azure Databricks.
 

articles/batch/large-number-tasks.md

@@ -33,7 +33,7 @@ The maximum size of the task collection that you can add in a single call depend
 
     * [REST API](/rest/api/batchservice/task/addcollection)
     * [Python API](/python/api/azure-batch/azure.batch.operations.TaskOperations?view=azure-python)
-    * [Node.js API](/javascript/api/azure-batch/task?view=azure-node-latest)
+    * [Node.js API](/javascript/api/@azure/batch/task?view=azure-node-latest)
 
   When using these APIs, you need to provide logic to divide the number of tasks to meet the collection limit, and to handle errors and retries in case addition of tasks fails. If a task collection is too large to add, the request generates an error and should be retried again with fewer tasks.
 

articles/cognitive-services/Bing-Web-Search/web-search-sdk-node-quickstart.md

@@ -106,4 +106,4 @@ When you're done with this project, make sure to remove your subscription key fr
 
 ## See also
 
-* [Azure Node SDK reference](https://docs.microsoft.com/javascript/api/azure-cognitiveservices-websearch/)
+* [Azure Node SDK reference](https://docs.microsoft.com/javascript/api/@azure/cognitiveservices-websearch/)

articles/cognitive-services/Content-Moderator/index.yml

@@ -146,7 +146,7 @@ landingContent:
           - text: Java SDK
             url: https://docs.microsoft.com/java/api/overview/azure/cognitiveservices/client/contentmoderator?view=azure-java-stable
           - text: Node.js SDK
-            url: https://docs.microsoft.com/javascript/api/azure-cognitiveservices-contentmoderator/?view=azure-node-latest
+            url: https://docs.microsoft.com/javascript/api/@azure/cognitiveservices-contentmoderator
           - text: Go SDK
             url: https://godoc.org/github.com/Azure/azure-sdk-for-go/services/cognitiveservices/v1.0/contentmoderator
           - text: Azure PowerShell

articles/cognitive-services/Face/index.yml

@@ -103,7 +103,7 @@ landingContent:
           - text: Java SDK
             url: https://docs.microsoft.com/java/api/overview/azure/cognitiveservices/client/faceapi?view=azure-java-stable
           - text: Node.js SDK
-            url: https://docs.microsoft.com/javascript/api/azure-cognitiveservices-face/?view=azure-node-latest
+            url: https://docs.microsoft.com/javascript/api/@azure/cognitiveservices-face
           - text: Go SDK
             url: https://godoc.org/github.com/Azure/azure-sdk-for-go/services/cognitiveservices/v1.0/face
           - text: iOS SDK