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articles/machine-learning/how-to-debug-managed-online-endpoints-visual-studio-code.md

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@@ -8,7 +8,7 @@ ms.subservice: inferencing
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author: dem108
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ms.author: sehan
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ms.reviewer: mopeakande
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ms.date: 03/18/2024
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ms.date: 03/20/2024
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ms.topic: troubleshooting
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ms.custom: devplatv2, devx-track-azurecli, cliv2
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ms.devlang: azurecli
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For more information, see the guide on [how to prepare your system to deploy online endpoints](how-to-deploy-online-endpoints.md#prepare-your-system).
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The examples in this article are based on code samples contained in the [azureml-examples](https://github.com/azure/azureml-examples) GitHub repository. To run the commands locally without having to copy/paste YAML and other files, clone the repo and then change directories to the *azureml-examples/cli*:
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The examples in this article are based on code samples contained in the [azureml-examples](https://github.com/azure/azureml-examples) GitHub repository. To run the commands locally without having to copy/paste YAML and other files, clone the repo and then change directories to *azureml-examples/cli*:
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```azurecli
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git clone https://github.com/Azure/azureml-examples --depth 1
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- [Azure CLI](/cli/azure/install-azure-cli)
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- [Azure CLI ml extension (v2)](how-to-configure-cli.md)
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- [Azure Machine Learning Python SDK (v2)](https://aka.ms/sdk-v2-install)
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- [Windows Subsystem for Linux (WSL)](/windows/wsl/install)
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For more information, see the guide on [how to prepare your system to deploy online endpoints](how-to-deploy-online-endpoints.md#prepare-your-system).
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