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articles/aks/use-group-managed-service-accounts.md

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az keyvault secret set --vault-name MyAKSGMSAVault --name "GMSADomainUserCred" --value "$Domain\\$DomainUsername:$DomainUserPassword"
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```
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> [!NOTE]
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> Use the Fully Qualified Domain Name for the Domain rather than the Partially Qualified Domain Name that may be used on internal networks.
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## Optional: Use a custom VNET with custom DNS
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Your domain controller needs to be configured through DNS so it is reachable by the AKS cluster. You can configure your network and DNS outside of your AKS cluster to allow your cluster to access the domain controller. Alternatively, you can configure a custom VNET with a custom DNS using Azure CNI with your AKS cluster to provide access to your domain controller. For more details, see [Configure Azure CNI networking in Azure Kubernetes Service (AKS)][aks-cni].
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Sid: $GMSA_SID
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```
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Create a *gmsa-role.yaml* with the following.
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```yml

articles/azure-functions/functions-create-function-linux-custom-image.md

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az functionapp create --name <APP_NAME> --storage-account <STORAGE_NAME> --resource-group AzureFunctionsContainers-rg --plan myPremiumPlan --deployment-container-image-name <DOCKER_ID>/azurefunctionsimage:v1.0.0
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```
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In the [az functionapp create](/cli/azure/functionapp#az_functionapp_create) command, the *deployment-container-image-name* parameter specifies the image to use for the function app. You can use the [az functionapp config container show](/cli/azure/functionapp/config/container#az_functionapp_config_container_show) command to view information about the image used for deployment. You can also use the [az functionapp config container set](/cli/azure/functionapp/config/container#az_functionapp_config_container_set) command to deploy from a different image.
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In the [az functionapp create](/cli/azure/functionapp#az_functionapp_create) command, the *deployment-container-image-name* parameter specifies the image to use for the function app. You can use the [az functionapp config container show](/cli/azure/functionapp/config/container#az_functionapp_config_container_show) command to view information about the image used for deployment. You can also use the [az functionapp config container set](/cli/azure/functionapp/config/container#az_functionapp_config_container_set) command to deploy from a different image. NOTE: If you are using a custom container registry then the *deployment-container-image-name* parameter will refer to the registry URL.
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# [Azure PowerShell](#tab/azure-powershell)
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```azurepowershell
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New-AzFunctionApp -Name <APP_NAME> -ResourceGroupName AzureFunctionsContainers-rg -PlanName myPremiumPlan -StorageAccount <STORAGE_NAME> -DockerImageName <DOCKER_ID>/azurefunctionsimage:v1.0.0
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```
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---
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In this example, replace `<STORAGE_NAME>` with the name you used in the previous section for the storage account. Also replace `<APP_NAME>` with a globally unique name appropriate to you, and `<DOCKER_ID>` with your DockerHub ID.
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In this example, replace `<STORAGE_NAME>` with the name you used in the previous section for the storage account. Also replace `<APP_NAME>` with a globally unique name appropriate to you, and `<DOCKER_ID>` with your DockerHub ID. When deploying from a custom container registry, use the `deployment-container-image-name` parameter to indicate the URL of the registry.
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> [!TIP]
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> You can use the [`DisableColor` setting](functions-host-json.md#console) in the host.json file to prevent ANSI control characters from being written to the container logs.
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+ [Scale and hosting options](functions-scale.md)
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+ [Kubernetes-based serverless hosting](functions-kubernetes-keda.md)
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[authorization keys]: functions-bindings-http-webhook-trigger.md#authorization-keys
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[authorization keys]: functions-bindings-http-webhook-trigger.md#authorization-keys

articles/azure-netapp-files/azure-netapp-files-network-topologies.md

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ms.workload: storage
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ms.tgt_pltfrm: na
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ms.topic: conceptual
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ms.date: 01/26/2022
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ms.date: 02/28/2022
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ms.author: ramakk
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---
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# Guidelines for Azure NetApp Files network planning
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Azure NetApp Files standard network features are supported for the following regions:
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* France Central
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* North Central US
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* South Central US
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* West US 3
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* West Europe
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* West Europe
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* West US 3
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## Considerations
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articles/cognitive-services/Speech-Service/includes/quickstarts/speech-to-text-basics/cpp.md

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> <a href="https://microsoft.qualtrics.com/jfe/form/SV_0Cl5zkG3CnDjq6O?PLanguage=CPP&Pillar=Speech&Product=speech-to-text&Page=quickstart&Section=Prerequisites" target="_target">I ran into an issue</a>
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## Set up the environment
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The Speech SDK is available as a [NuGet package](https://www.nuget.org/packages/Microsoft.CognitiveServices.Speech) and implements .NET Standard 2.0. You install the Speech SDK in the next section of this article, but first check the [platform-specific installation instructions](/azure/cognitive-services/speech-service/speech-sdk?pivots=programming-language-cpp&tabs=windows%2Cubuntu%2Cios-xcode%2Cmac-xcode%2Candroid-studio#c-1) for any more requirements.
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The Speech SDK is available as a [NuGet package](https://www.nuget.org/packages/Microsoft.CognitiveServices.Speech) and implements .NET Standard 2.0. You install the Speech SDK in the next section of this article, but first check the [platform-specific installation instructions](../../../quickstarts/setup-platform.md?pivots=programming-language-cpp) for any more requirements.
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> [!div class="nextstepaction"]
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> <a href="https://microsoft.qualtrics.com/jfe/form/SV_0Cl5zkG3CnDjq6O?PLanguage=CPP&Pillar=Speech&Product=speech-to-text&Page=quickstart&Section=Prerequisites" target="_target">I ran into an issue</a>

articles/cognitive-services/Speech-Service/includes/quickstarts/speech-to-text-basics/csharp.md

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> <a href="https://microsoft.qualtrics.com/jfe/form/SV_0Cl5zkG3CnDjq6O?PLanguage=CSHARP&Pillar=Speech&Product=speech-to-text&Page=quickstart&Section=Prerequisites" target="_target">I ran into an issue</a>
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## Set up the environment
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The Speech SDK is available as a [NuGet package](https://www.nuget.org/packages/Microsoft.CognitiveServices.Speech) and implements .NET Standard 2.0. You install the Speech SDK in the next section of this article, but first check the [platform-specific installation instructions](/azure/cognitive-services/speech-service/speech-sdk?pivots=programming-language-cpp&tabs=windows%2Cubuntu%2Cios-xcode%2Cmac-xcode%2Candroid-studio#c) for any more requirements.
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The Speech SDK is available as a [NuGet package](https://www.nuget.org/packages/Microsoft.CognitiveServices.Speech) and implements .NET Standard 2.0. You install the Speech SDK in the next section of this article, but first check the [platform-specific installation instructions](../../../quickstarts/setup-platform.md?pivots=programming-language-csharp) for any more requirements.
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> [!div class="nextstepaction"]
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> <a href="https://microsoft.qualtrics.com/jfe/form/SV_0Cl5zkG3CnDjq6O?PLanguage=CSHARP&Pillar=Speech&Product=speech-to-text&Page=quickstart&Section=Prerequisites" target="_target">I ran into an issue</a>

articles/cognitive-services/Speech-Service/includes/quickstarts/speech-to-text-basics/go.md

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## Set up the environment
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Install the [Speech SDK for Go](../../../quickstarts/setup-platform.md?pivots=programming-language-go&tabs=dotnet%252cwindows%252cjre%252cbrowser). Check the [platform-specific installation instructions](/azure/cognitive-services/speech-service/speech-sdk?pivots=programming-language-cpp&tabs=windows%2Cubuntu%2Cios-xcode%2Cmac-xcode%2Candroid-studio#c) for any more requirements.
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Install the [Speech SDK for Go](../../../quickstarts/setup-platform.md?pivots=programming-language-go&tabs=dotnet%252cwindows%252cjre%252cbrowser). Check the [platform-specific installation instructions](../../../quickstarts/setup-platform.md?pivots=programming-language-go) for any more requirements.
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> <a href="https://microsoft.qualtrics.com/jfe/form/SV_0Cl5zkG3CnDjq6O?PLanguage=GO&Pillar=Speech&Product=speech-to-text&Page=quickstart&Section=Prerequisites" target="_target">I ran into an issue</a>

articles/cognitive-services/Speech-Service/includes/quickstarts/speech-to-text-basics/python.md

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## Set up the environment
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The Speech SDK for Python is available as a [Python Package Index (PyPI) module](https://pypi.org/project/azure-cognitiveservices-speech/). The Speech SDK for Python is compatible with Windows, Linux, and macOS. Install a version of [Python from 3.7 to 3.10](https://www.python.org/downloads/). You install the Speech SDK in the next section of this article, but first check the [platform-specific installation instructions](/azure/cognitive-services/speech-service/speech-sdk?pivots=programming-language-cpp&tabs=windows%2Cubuntu%2Cios-xcode%2Cmac-xcode%2Candroid-studio#c) for any more requirements.
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The Speech SDK for Python is available as a [Python Package Index (PyPI) module](https://pypi.org/project/azure-cognitiveservices-speech/). The Speech SDK for Python is compatible with Windows, Linux, and macOS. Install a version of [Python from 3.7 to 3.10](https://www.python.org/downloads/). You install the Speech SDK in the next section of this article, but first check the [platform-specific installation instructions](../../../quickstarts/setup-platform.md?pivots=programming-language-python) for any more requirements.
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> [!div class="nextstepaction"]
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> <a href="https://microsoft.qualtrics.com/jfe/form/SV_0Cl5zkG3CnDjq6O?PLanguage=PYTHON&Pillar=Speech&Product=speech-to-text&Page=quickstart&Section=Prerequisites" target="_target">I ran into an issue</a>

articles/cosmos-db/sql/create-sql-api-spark.md

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ms.date: 03/01/2022
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ms.custom: seo-java-august2019, seo-java-september2019, devx-track-java, mode-api
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> * [Node.js](create-sql-api-nodejs.md)
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> * [Python](create-sql-api-python.md)
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This tutorial is a quick start guide to show how to use Cosmos DB Spark Connector to read from or write to Cosmos DB. Cosmos DB Spark Connector is based on Spark 3.1.x.
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This tutorial is a quick start guide to show how to use Cosmos DB Spark Connector to read from or write to Cosmos DB. Cosmos DB Spark Connector supports Spark 3.1.x and 3.2.x.
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Throughout this quick tutorial, we rely on [Azure Databricks Runtime 8.0 with Spark 3.1.1](/azure/databricks/release-notes/runtime/8.0) and a Jupyter Notebook to show how to use the Cosmos DB Spark Connector.
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Throughout this quick tutorial, we rely on [Azure Databricks Runtime 8.0 with Spark 3.1.1](/azure/databricks/release-notes/runtime/8.0) and a Jupyter Notebook to show how to use the Cosmos DB Spark Connector, but you can also use [Azure Databricks Runtime 10.3 with Spark 3.2.1](/azure/databricks/release-notes/runtime/10.3).
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You can use any other Spark 3.1.1 spark offering as well, also you should be able to use any language supported by Spark (PySpark, Scala, Java, etc.), or any Spark interface you are familiar with (Jupyter Notebook, Livy, etc.).
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You can use any other Spark 3.1.1 or 3.2.1 spark offering as well, also you should be able to use any language supported by Spark (PySpark, Scala, Java, etc.), or any Spark interface you are familiar with (Jupyter Notebook, Livy, etc.).
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## Prerequisites
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* An active Azure account. If you don't have one, you can sign up for a [free account](https://azure.microsoft.com/try/cosmosdb/). Alternatively, you can use the [use Azure Cosmos DB Emulator](../local-emulator.md) for development and testing.
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* [Azure Databricks](/azure/databricks/release-notes/runtime/8.0) runtime 8.0 with Spark 3.1.1.
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* [Azure Databricks](/azure/databricks/release-notes/runtime/8.0) runtime 8.0 with Spark 3.1.1 or [Azure Databricks](/azure/databricks/release-notes/runtime/10.3) runtime 10.3 with Spark 3.2.1.
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* (Optional) [SLF4J binding](https://www.slf4j.org/manual.html) is used to associate a specific logging framework with SLF4J.
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SLF4J is only needed if you plan to use logging, also download an SLF4J binding, which will link the SLF4J API with the logging implementation of your choice. See the [SLF4J user manual](https://www.slf4j.org/manual.html) for more information.
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Install Cosmos DB Spark Connector, in your spark Cluster [azure-cosmos-spark_3-1_2-12-4.3.1.jar](https://search.maven.org/artifact/com.azure.cosmos.spark/azure-cosmos-spark_3-1_2-12/4.3.1/jar)
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Install Cosmos DB Spark Connector in your spark cluster [using the latest version for Spark 3.1.x](https://aka.ms/azure-cosmos-spark-3-1-download) or [using the latest version for Spark 3.2.x](https://aka.ms/azure-cosmos-spark-3-2-download).
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The getting started guide is based on PySpark however you can use the equivalent scala version as well, and you can run the following code snippet in an Azure Databricks PySpark notebook.
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