Question 22
Domain 2: Describe fundamental principles of machine learning on AzureWhat is the purpose of an Azure Machine Learning workspace?
Correct answer: D
Explanation
An Azure Machine Learning workspace is the central place to organize and manage machine learning assets, including compute, models, and experiments. It is used to run and track jobs, so it serves as the hub for machine learning resources and jobs.
Why each option is right or wrong
A. To import and explore data
B. To provision compute resources
C. To run code in notebooks
D. To manage machine learning resources and jobs
Under the Azure Machine Learning service model, a workspace is the top-level Azure resource that contains and coordinates the assets used for ML development, including compute targets, datastores, models, environments, and job history. In practice, it is the control plane for creating, submitting, monitoring, and organizing training and inference jobs within a single Azure subscription and resource group.