Designing and Implementing a Data Science Solution on Azure — Question 25

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.

Answer options

• A. Use the Azure Machine Learning studio.
• B. Run the update method of the AmlCompute class in the Python SDK.
• C. Use the Azure portal.
• D. Use the Azure Machine Learning designer.
• E. Run the refresh_state() method of the BatchCompute class in the Python SDK.

Correct answer: A, B, C

Explanation

The correct answers are A, B, and C because they provide direct methods to reconfigure the Azure Machine Learning compute resource. Option A allows for configuration through the user-friendly interface of Azure Machine Learning studio, B enables programmatic changes using the Python SDK, and C allows access to configuration settings via the Azure portal. Options D and E do not offer the necessary capabilities for changing the node settings as required.