Exam DP-100 topic 2 question 134 discussion

Actual exam question from Microsoft's DP-100

Question #: 134
Topic #: 2

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You manage an Azure Machine Learning workspace. The development environment for managing the workspace is configured to use Python SDK v2 in Azure Machine Learning Notebooks.

A Synapse Spark Compute is currently attached and uses system-assigned identity.

You need to use Python code to update the Synapse Spark Compute to use a user-assigned identity.

Solution: Pass the UserAssignedIdentity class object to the SynapseSparkCompute class.

Does the solution meet the goal?

A. Yes
B. No

Show Suggested Answer

Suggested Answer: A 🗳️

by Arvindu89 at Oct. 27, 2024, 4:36 a.m.

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astone42

4 months, 3 weeks ago

Selected Answer: B

A Synapse Spark pool can also use a user-assigned identity. For a user-assigned identity, you can pass a managed identity definition, using the IdentityConfiguration class, as the identity parameter of the SynapseSparkCompute class. For the managed identity definition used in this way, set the type to UserAssigned. In addition, pass a user_assigned_identities parameter. The parameter user_assigned_identities is a list of objects of the UserAssignedIdentity class. The resource_idof the user-assigned identity populates each UserAssignedIdentity class object https://learn.microsoft.com/en-us/azure/machine-learning/how-to-manage-synapse-spark-pool?view=azureml-api-2&tabs=sdk#update-the-synapse-spark-pool

upvoted 1 times

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colin1919

5 months, 4 weeks ago

Selected Answer: B

No. It is tricky, but no. You don't pass the UserAssignedIdentity() to SynapseSparkCompute() but to the user_assigned_identities INSIDE the ManagedIdentityConfiguration(), which in turn is passed to the SynapseSparkCompute() class.

upvoted 1 times

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Sadhak

6 months, 1 week ago

Selected Answer: A

spark_compute = ml_client.compute.get("<your-spark-compute-name>") spark_compute.identity = ManagedIdentityConfiguration( type="UserAssigned", user_assigned_identities=[ "/subscriptions/<your-subscription-id>/resourcegroups/<your-resource-group-name>/providers/Microsoft.ManagedIdentity/userAssignedIdentities/<your-identity-name>" ] )

upvoted 2 times

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Sadhak

6 months, 3 weeks ago

Selected Answer: A

The answer is "Yes"

upvoted 2 times

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Arvindu89

7 months, 1 week ago

Selected Answer: A

The answer is "Yes" spark_compute = ml_client.compute.get("<your-spark-compute-name>") spark_compute.identity = ManagedIdentityConfiguration( type="UserAssigned", user_assigned_identities=[ "/subscriptions/<your-subscription-id>/resourcegroups/<your-resource-group-name>/providers/Microsoft.ManagedIdentity/userAssignedIdentities/<your-identity-name>" ] )

upvoted 3 times

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