You have an Azure Machine Learning workspace named workspace1. You must add a datastore that connects an Azure Blob storage container to workspace1. You must be able to configure a privilege level…

The correct answer is D. Managed identity. Managed identity is the recommended authentication method when you need to configure a privilege level, because it integrates with Azure Role-Based Access Control (RBAC). You assign the managed identity a specific RBAC role (e.g., Storage Blob Data Reader or Storage Blob Data…

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Question

You have an Azure Machine Learning workspace named workspace1. You must add a datastore that connects an Azure Blob storage container to workspace1. You must be able to configure a privilege level. You need to configure authentication. Which authentication method should you use?

Options

AService principal
BAccount key
CSAS token
DManaged identity

How the community answered

(32 responses)

A
3% (1)
B
6% (2)
C
9% (3)
D
81% (26)

Explanation

Managed identity is the recommended authentication method when you need to configure a privilege level, because it integrates with Azure Role-Based Access Control (RBAC). You assign the managed identity a specific RBAC role (e.g., Storage Blob Data Reader or Storage Blob Data Contributor) on the storage container, enabling fine-grained privilege configuration. Account key (B) grants full access with no privilege granularity. SAS tokens (C) can restrict operations but are not privilege-level RBAC assignments. Service principal (A) also works with RBAC but requires credential management, making managed identity the preferred option.

Topics

#Azure ML Datastore#Managed Identity#Azure Blob Storage#Authentication

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