Designing and Implementing a Data Science Solution on Azure — Question 92

You manage an Azure Machine Learning workspace. The workspace includes an Azure Machine Learning Kubernetes compute target configured as an Azure Kubernetes Service (AKS) cluster named AKS1. AKS1 is configured to enable the targeting of different nodes to train workloads.

You must run a command job on AKS1 by using the Azure ML Python SDK v2. The command job must select different types of compute nodes. The compute node types must be specified by using a command parameter.

You need to configure the command parameter.

Which parameter should you use?

Answer options

• A. environment
• B. compute
• C. limits
• D. instance_type

Correct answer: D

Explanation

The correct answer is D, as the 'instance_type' parameter allows you to define the specific types of compute nodes that should be used for the job. The other options do not serve this purpose: 'environment' is for specifying the software environment, 'compute' refers to the overall compute resource, and 'limits' pertains to resource constraints rather than the type of instance.