DP-100 Question #187: Real Exam Question with Answer & Explanation

Question

You create an Azure Machine Learning compute resource to train models. The compute resource is configured as follows: - Minimum nodes: 2 - Maximum nodes: 4 You must decrease the minimum number of nodes and increase the maximum number of nodes to the following values: - Minimum nodes: 0 - Maximum nodes: 8 You need to reconfigure the compute resource. What are three possible ways to achieve this goal? Each correct answer presents a complete solution. NOTE: Each correct selection is worth one point.

Options

• AUse the Azure Machine Learning studio.
• BRun the update method of the AmlCompute class in the Python SDK.
• CUse the Azure portal.
• DUse the Azure Machine Learning designer.
• ERun the refresh_state() method of the BatchCompute class in the Python SDK.

Explanation

A: You can manage assets and resources in the Azure Machine Learning studio. B: The update(min_nodes=None, max_nodes=None, idle_seconds_before_scaledown=None) of the AmlCompute class updates the ScaleSettings for this AmlCompute target. C: To change the nodes in the cluster, use the UI for your cluster in the Azure portal. https://docs.microsoft.com/en-us/python/api/azureml- core/azureml.core.compute.amlcompute(class)

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