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articles/machine-learning/how-to-setup-customer-managed-keys.md

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@@ -98,14 +98,13 @@ Create an Azure Machine Learning workspace. When creating the workspace, you mus
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The key vault ID value will be similar to `/subscriptions/{GUID}/resourceGroups/{resource-group-name}/providers/Microsoft.KeyVault/vaults/mykv`. The URL for the key will be similar to `https://mykv.vault.azure.net/keys/mykey/{GUID}`.
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> [!TIP]
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> For examples of creating the workspace with a customer-managed key, see the following articles:
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> | Creation method | Article |
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> | ----- | ----- |
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> | CLI | [Create a workspace with Azure CLI](how-to-manage-workspace-cli.md#customer-managed-key-and-high-business-impact-workspace) |
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> | Azure portal/</br>Python SDK | [Create and manage a workspace](how-to-manage-workspace.md#use-your-own-key) |
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> | Azure Resource Manager</br>template | [Create a workspace with a template](how-to-create-workspace-template.md#deploy-an-encrypted-workspace) |
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> | REST API | [Create, run, and delete Azure ML resources with REST](how-to-manage-rest.md#create-a-workspace-using-customer-managed-encryption-keys) |
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For examples of creating the workspace with a customer-managed key, see the following articles:
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| Creation method | Article |
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| ----- | ----- |
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| CLI | [Create a workspace with Azure CLI](how-to-manage-workspace-cli.md#customer-managed-key-and-high-business-impact-workspace) |
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| Azure portal/</br>Python SDK | [Create and manage a workspace](how-to-manage-workspace.md#use-your-own-key) |
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| Azure Resource Manager</br>template | [Create a workspace with a template](how-to-create-workspace-template.md#deploy-an-encrypted-workspace) |
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| REST API | [Create, run, and delete Azure ML resources with REST](how-to-manage-rest.md#create-a-workspace-using-customer-managed-encryption-keys) |
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Once the workspace has been created, you'll notice that Azure resource group is created in your subscription. This group is in addition to the resource group for your workspace. This resource group will contain the Microsoft-managed resources that your key is used with. The resource group will be named using the formula of `<Azure Machine Learning workspace resource group name><GUID>`. It will contain an Azure Cosmos DB instance, Azure Storage Account, and Azure Cognitive Search.
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