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Merge pull request #198319 from Blackmist/networkisolation-update
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articles/machine-learning/how-to-configure-network-isolation-with-v2.md

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In this article, you'll learn about network isolation changes with our new v2 API platform on Azure Resource Manager (ARM) and its effect on network isolation.
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## Prerequisites
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* The [Azure Machine Learning Python SDK](/python/api/overview/azure/ml/install) or [Azure CLI extension for machine learning v1](reference-azure-machine-learning-cli.md).
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> [!IMPORTANT]
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> The v1 extension (`azure-cli-ml`) version must be 1.41.0 or greater. Use the `az version` command to view version information.
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## What is the new API platform on Azure Resource Manager (ARM)
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There are two types of operations used by the v1 and v2 APIs, __Azure Resource Manager (ARM)__ and __Azure Machine Learning workspace__.
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# [Azure CLI extension v1](#tab/azurecliextensionv1)
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The Azure CLI [extension v1 for machine learning](reference-azure-machine-learning-cli.md) provides the [az ml workspace update](/cli/azure/ml/workspace#az-ml-workspace-update) command. To enable the parameter for a workspace, add the parameter `--set v1_legacy_mode=true`.
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The Azure CLI [extension v1 for machine learning](reference-azure-machine-learning-cli.md) provides the [az ml workspace update](/cli/azure/ml/workspace#az-ml-workspace-update) command. To enable the parameter for a workspace, add the parameter `--v1-legacy-mode true`.
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> [!IMPORTANT]
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> The `v1-legacy-mode` parameter is only available in version 1.41.0 or newer of the Azure CLI extension for machine learning v1 (`azure-cli-ml`). Use the `az version` command to view version information.
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The return value of the `az ml workspace update` command may not show the updated value. To view the current state of the parameter, use the following command:
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```azurecli
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az ml workspace show -g <myresourcegroup> -w <myworkspace> --query v1LegacyMode
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```
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