Answer-first summary for fast verification
Answer: No
The solution does NOT meet the goal. While the IdentityConfiguration class is indeed used to configure identity settings for Synapse Spark Compute, the goal requires switching from system-assigned to user-assigned identity. For user-assigned identity, you need to specify the user_assigned_identities parameter with the appropriate resource ID(s), not just change the type. The community discussion shows 100% agreement on answer A ('Yes'), but this appears to be incorrect based on Azure documentation - configuring only the identity type to 'UserAssigned' without providing the actual user-assigned identity resource IDs would not properly implement user-assigned identity functionality.
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You manage an Azure Machine Learning workspace using Python SDK v2 in Azure Machine Learning Notebooks. A Synapse Spark Compute is currently attached and uses a system-assigned identity.
You need to update the Synapse Spark Compute to use a user-assigned identity with Python code.
Proposed solution: Configure the IdentityConfiguration class with the appropriate identity type.
Does this solution meet the goal?
A
Yes
B
No