| Source | Azure Portal | ||||||||||||||||||||||
| Display name | Azure Machine Learning workspaces should use user-assigned managed identity | ||||||||||||||||||||||
| Id | 5f0c7d88-c7de-45b8-ac49-db49e72eaa78 | ||||||||||||||||||||||
| Version | 1.0.0 Details on versioning |
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| Versioning |
Versions supported for Versioning: 1 1.0.0 Built-in Versioning [Preview] |
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| Category | Machine Learning Microsoft Learn |
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| Description | Manange access to Azure ML workspace and associated resources, Azure Container Registry, KeyVault, Storage, and App Insights using user-assigned managed identity. By default, system-assigned managed identity is used by Azure ML workspace to access the associated resources. User-assigned managed identity allows you to create the identity as an Azure resource and maintain the life cycle of that identity. Learn more at https://docs.microsoft.com/azure/machine-learning/how-to-use-managed-identities?tabs=python. | ||||||||||||||||||||||
| Cloud environments | AzureCloud = true AzureUSGovernment = unknown AzureChinaCloud = unknown |
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| Available in AzUSGov | Unknown, no evidence if Policy definition is/not available in AzureUSGovernment | ||||||||||||||||||||||
| Mode | Indexed | ||||||||||||||||||||||
| Type | BuiltIn | ||||||||||||||||||||||
| Preview | False | ||||||||||||||||||||||
| Deprecated | False | ||||||||||||||||||||||
| Effect | Default Audit Allowed Audit, Deny, Disabled |
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| RBAC role(s) | none | ||||||||||||||||||||||
| Rule aliases | IF (1)
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| Rule resource types | IF (1) |
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| Compliance |
The following 1 compliance controls are associated with this Policy definition 'Azure Machine Learning workspaces should use user-assigned managed identity' (5f0c7d88-c7de-45b8-ac49-db49e72eaa78)
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| Initiatives usage |
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| History |
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| JSON compare | n/a | ||||||||||||||||||||||
| JSON |
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