Merge pull request #112498 from MicrosoftDocs/repo_sync_working_branch

Confirm merge from repo_sync_working_branch to master to sync with https://github.com/Microsoft/azure-docs (branch master)

Author: huypub

articles/active-directory/develop/quickstart-v2-windows-desktop.md

@@ -38,7 +38,7 @@ In this quickstart, you'll learn how to write a Windows desktop .NET (WPF) appli
 >
 > 1. Sign in to the [Azure portal](https://portal.azure.com) using either a work or school account, or a personal Microsoft account.
 > 1. If your account gives you access to more than one tenant, select your account in the top right corner, and set your portal session to the desired Azure AD tenant.
-> 1. Navigate to the Microsoft identity platform for developers [App registrations](https://aka.ms/MobileAppReg) page.
+> 1. Go to the [App registrations](https://aka.ms/MobileAppReg) blade for Azure Active Directory in the Azure portal.
 > 1. Select **New registration**.
 >      - In the **Name** section, enter a meaningful application name that will be displayed to users of the app, for example `Win-App-calling-MsGraph`.
 >      - In the **Supported account types** section, select **Accounts in any organizational directory and personal Microsoft accounts (for example, Skype, Xbox, Outlook.com)**.

articles/aks/use-managed-identity.md

@@ -56,6 +56,8 @@ A successful cluster creation using managed identities contains this service pri
 
 > [!NOTE]
 > For creating and using your own VNet, static IP address, or attached Azure disk where the resources are outside of the MC_* resource group, use the PrincipalID of the cluster System Assigned Managed Identity to perform a role assignment. For more information on role assignment, see [Delegate access to other Azure resources](kubernetes-service-principal.md#delegate-access-to-other-azure-resources).
+>
+> Permission grants to cluster Managed Identity used by Azure Cloud provider may take up 60 minutes to populate.
 
 Finally, get credentials to access the cluster:
 

articles/azure-cache-for-redis/cache-overview.md

@@ -16,7 +16,7 @@ Azure Cache for Redis provides an in-memory data store based on the open-source
 
 Azure Cache for Redis can be used as an in-memory data structure store, a distributed non-relational database, and a message broker. Application performance is improved by taking advantage of the low-latency, high-throughput performance of the Redis engine.
 
-Azure Cache for Redis provides access to a secure, dedicated Redis cache. Azure Cache for Redis is managed by Microsoft, hosted within Azure, and accessible to any application within or outside of Azure.
+Azure Cache for Redis provides access to a secure, dedicated Redis cache. Azure Cache for Redis is managed by Microsoft, hosted within Azure, and accessible to any application within or outside of Azure. Additionally, Azure Redis for Cache uses the strategy of diskless replication, enhancing the compatibility with the payment card industry.
 
 ## Using Azure Cache for Redis
 

articles/cognitive-services/Speech-Service/includes/how-to/speech-to-text-basics/speech-to-text-basics-javascript.md

@@ -97,14 +97,14 @@ Reference the `AudioConfig` object as follows:
 
 ```javascript
 const audioConfig = AudioConfig.fromDefaultMicrophoneInput();
-const speechConfig = SpeechConfig.fromSubscription(speechConfig, audioConfig);
+const recognizer = new SpeechRecognizer(speechConfig, audioConfig);
 ```
 
 If you want to provide an audio file instead of using a microphone, you'll still need to provide an `audioConfig`. However, this can only be done when targeting **Node.js** and when you create an [`AudioConfig`](https://docs.microsoft.com/javascript/api/microsoft-cognitiveservices-speech-sdk/audioconfig?view=azure-node-latest), instead of calling `fromDefaultMicrophoneInput`, you'll call `fromWavFileOutput` and pass the `filename` parameter.
 
 ```javascript
 const audioConfig = AudioConfig.fromWavFileInput("YourAudioFile.wav");
-const speechConfig = SpeechConfig.fromSubscription(speechConfig, audioConfig);
+const recognizer = new SpeechRecognizer(speechConfig, audioConfig);
 ```
 
 ## Recognize speech
@@ -262,4 +262,4 @@ phraseList.clear();
 Phrase lists are only one option to improve recognition accuracy. You can also: 
 
 * [Improve accuracy with Custom Speech](../../../how-to-custom-speech.md)
-* [Improve accuracy with tenant models](../../../tutorial-tenant-model.md)
+* [Improve accuracy with tenant models](../../../tutorial-tenant-model.md)

articles/cognitive-services/Speech-Service/language-support.md

@@ -236,6 +236,7 @@ The **Speech Translation** API supports different languages for speech-to-speech
 | French                  | `fr`          |
 | German                  | `de`          |
 | Greek                   | `el`          |
+| Gujarati                | `gu`          |
 | Haitian Creole          | `ht`          |
 | Hebrew                  | `he`          |
 | Hindi                   | `hi`          |
@@ -256,6 +257,8 @@ The **Speech Translation** API supports different languages for speech-to-speech
 | Malay                   | `ms`          |
 | Malayalam               | `ml`          |
 | Maltese                 | `mt`          |
+| Maori                   | `mi`          |
+| Marathi                 | `mr`          |
 | Norwegian               | `nb`          |
 | Persian                 | `fa`          |
 | Polish                  | `pl`          |

articles/cognitive-services/form-recognizer/deploy-label-tool.md

@@ -99,14 +99,14 @@ From the Azure CLI, run this command to create a web app resource for the sample
 DNS_NAME_LABEL=aci-demo-$RANDOM
 
 az container create \
-  --resource-group <resorunce_group_name> \
+  --resource-group <resource_group_name> \
   --name <name> \
   --image mcr.microsoft.com/azure-cognitive-services/custom-form/labeltool \
   --ports 3000 \
   --dns-name-label $DNS_NAME_LABEL \
   --location <region name> \
   --cpu 2 \
-  --memory 8
+  --memory 8 \
   --command-line "./run.sh eula=accept"
 ```
 

articles/event-grid/event-schema-blob-storage.md

@@ -16,7 +16,7 @@ This article provides the properties and schema for blob storage events. For an
 
 
 >[!NOTE]
-> Only storage accounts of kind **StorageV2 (general purpose v2)**, **BlockBlobStorage**, and **BlobStorage** support event integration. **Storage (genral purpose v1)** does *not* support integration with Event Grid.
+> Only storage accounts of kind **StorageV2 (general purpose v2)**, **BlockBlobStorage**, and **BlobStorage** support event integration. **Storage (general purpose v1)** does *not* support integration with Event Grid.
 
 ## Event Grid event schema
 

articles/iot-hub/iot-hub-reliability-features-in-sdks.md

@@ -125,7 +125,7 @@ For code samples in other languages, review the following implementation documen
 
 * [Node SDK](https://github.com/Azure/azure-iot-sdk-node/wiki/Connectivity-and-Retries#types-of-errors-and-how-to-detect-them)
 
-* [Python SDK](https://github.com/Azure/azure-iot-sdk-python)
+* [Python SDK](https://github.com/Azure/azure-iot-sdk-python) (Reliability not yet implemented)
 
 ## Next steps
 

articles/key-vault/general/vs-key-vault-add-connected-service.md

@@ -120,7 +120,7 @@ Now, you can access your secrets in code. The next steps are different depending
    1. Add the configuration variable.
 
       ```csharp
-      private static readonly IConfiguration _configuration;
+      private static IConfiguration _configuration;
       ```
 
    1. Add this constructor or replace the existing constructor with this:

articles/machine-learning/how-to-enable-virtual-network.md

@@ -223,14 +223,15 @@ The NSG rule configuration in the Azure portal is shown in the following image:
 
 If you're using forced tunneling with the Machine Learning Compute, add [user-defined routes (UDRs)](https://docs.microsoft.com/azure/virtual-network/virtual-networks-udr-overview) to the subnet that contains the compute resource.
 
-* Establish a UDR for each IP address that's used by the Azure Batch service in the region where your resources exist. These UDRs enable the Batch service to communicate with compute nodes for task scheduling. To get a list of IP addresses of the Batch service, use one of the following methods:
+* Establish a UDR for each IP address that's used by the Azure Batch service in the region where your resources exist. These UDRs enable the Batch service to communicate with compute nodes for task scheduling. Also add the IP address for the Azure Machine Learning service where the resources exist, as this is required for access to Compute Instances. To get a list of IP addresses of the Batch service and Azure Machine Learning service, use one of the following methods:
 
-    * Download the [Azure IP Ranges and Service Tags](https://www.microsoft.com/download/details.aspx?id=56519) and search the file for `BatchNodeManagement.<region>`, where `<region>` is your Azure region.
+    * Download the [Azure IP Ranges and Service Tags](https://www.microsoft.com/download/details.aspx?id=56519) and search the file for `BatchNodeManagement.<region>` and `AzureMachineLearning.<region>`, where `<region>` is your Azure region.
 
     * Use the [Azure CLI](https://docs.microsoft.com/cli/azure/install-azure-cli?view=azure-cli-latest) to download the information. The following example downloads the IP address information and filters out the information for the East US 2 region:
 
         ```azurecli-interactive
         az network list-service-tags -l "East US 2" --query "values[?starts_with(id, 'Batch')] | [?properties.region=='eastus2']"
+        az network list-service-tags -l "East US 2" --query "values[?starts_with(id, 'AzureMachineLearning')] | [?properties.region=='eastus2']"
         ```
 
 * Outbound traffic to Azure Storage must not be blocked by your on-premises network appliance. Specifically, the URLs are in the form `<account>.table.core.windows.net`, `<account>.queue.core.windows.net`, and `<account>.blob.core.windows.net`.