What are three possible ways to achieve this goal?

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

View Answer

Answer: ABC

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.

Reference: https://docs.microsoft.com/en-us/python/api/azureml-core/azureml.core.compute.amlcompute(class)