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articles/machine-learning/how-to-manage-workspace.md

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By default, metadata for the workspace is stored in an Azure Cosmos DB instance that Microsoft maintains. This data is encrypted using Microsoft-managed keys.
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To limit the data that Microsoft collects on your workspace, select **High business impact workspace** in the portal, or set `hbi_workspace=true ` in Python. For more information on this setting, see [Encryption at rest](concept-data-encryption.md#encryption-at-rest).
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> [!IMPORTANT]
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> Selecting high business impact can only be done when creating a workspace. You cannot change this setting after workspace creation.
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#### Use your own data encryption key
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### Identity
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In the portal, use the **Identity** page to configure managed identity, storage account access, and data impact. For the Python SDK, see the links in the following sections.
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#### Managed identity
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A workspace can be given either a system assigned identity or a user assigned identity. This identity is used to access resources in your subscription. For more information, see [Set up authentication between Azure Machine Learning and other services](how-to-identity-based-service-authentication.md).
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#### Data impact
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If your workspace contains sensitive data, select **High business impact workspace**. This will control the amount of data Microsoft collects for diagnostic purposes and enables additional encryption in Microsoft managed environments.​
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To limit the data that Microsoft collects on your workspace, select **High business impact workspace** in the portal, or set `hbi_workspace=true ` in Python. For more information on this setting, see [Encryption at rest](concept-data-encryption.md#encryption-at-rest).
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> [!IMPORTANT]
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> Selecting high business impact can only be done when creating a workspace. You cannot change this setting after workspace creation.
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### Tags
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