Designing and Implementing a Data Science Solution on Azure — Question 189

You manage an Azure Machine Learning workspace. You design a training job that is configured with a serverless compute.

The serverless compute must have a specific instance type and count.

You need to configure the serverless compute by using Azure Machine Learning Python SDK v2.

What should you do?

Answer options

• A. Specify the compute name by using the compute parameter of the command job.
• B. Configure the tier parameter to Dedicated VM.
• C. Initialize and specify the ResourceConfiguration class.
• D. Initialize AmiCompute class with size and type specification.

Correct answer: C

Explanation

The correct answer is C because the ResourceConfiguration class allows you to define the specific instance type and count required for serverless compute in Azure Machine Learning. Option A is incorrect as it does not provide the necessary configuration details for serverless compute. Option B is not applicable since Dedicated VM refers to a different compute type, and option D is wrong because AmiCompute is not relevant for configuring serverless compute.