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 in Azure ML, simply configuring it with the appropriate identity type is insufficient to update an existing Synapse Spark Compute from system-assigned to user-assigned identity. The community discussion shows 100% agreement on answer A ('Yes'), but this appears to be incorrect based on Azure ML documentation. To properly update a Synapse Spark Compute identity, you need to use the SynapseSparkCompute.update() method with the identity parameter set to the new IdentityConfiguration, not just configure the class itself. The proposed solution lacks the actual update operation required to modify the existing compute resource.
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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 the solution meet the goal?
A
Yes
B
No