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Merge pull request #202760 from Blackmist/cmk-note
adding limitation
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articles/machine-learning/how-to-setup-customer-managed-keys.md

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ms.author: jhirono
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author: jhirono
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ms.reviewer: larryfr
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ms.date: 03/17/2022
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ms.date: 06/24/2022
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---
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# Use customer-managed keys with Azure Machine Learning
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* The customer-managed key for resources the workspace depends on can’t be updated after workspace creation.
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* Resources managed by Microsoft in your subscription can’t transfer ownership to you.
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* You can't delete Microsoft-managed resources used for customer-managed keys without also deleting your workspace.
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* The key vault that contains your customer-managed key must be in the same Azure subscription as the Azure Machine Learning workspace
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> [!IMPORTANT]
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> When using a customer-managed key, the costs for your subscription will be higher because of the additional resources in your subscription. To estimate the cost, use the [Azure pricing calculator](https://azure.microsoft.com/pricing/calculator/).
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To create the key vault, see [Create a key vault](../key-vault/general/quick-create-portal.md). When creating Azure Key Vault, you must enable __soft delete__ and __purge protection__.
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> [!IMPORTANT]
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> The key vault must be in the same Azure subscription that will contain your Azure Machine Learning workspace.
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### Create a key
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> [!TIP]
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Create an Azure Machine Learning workspace. When creating the workspace, you must select the __Azure Key Vault__ and the __key__. Depending on how you create the workspace, you specify these resources in different ways:
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> [!WARNING]
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> The key vault that contains your customer-managed key must be in the same Azure subscription as the workspace.
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* __Azure portal__: Select the key vault and key from a dropdown input box when configuring the workspace.
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* __SDK, REST API, and Azure Resource Manager templates__: Provide the Azure Resource Manager ID of the key vault and the URL for the key. To get these values, use the [Azure CLI](/cli/azure/install-azure-cli) and the following commands:
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