Question 4
Domain 1: Design and prepare a machine learning solutionYou need to create a compute instance that would support running ML pipeline training using the Azure Machine Learning designer v2.
Correct answer: A
Explanation
Azure Machine Learning designer v2 runs training jobs on compute targets such as compute instances. A compute instance provides a managed VM for development and can execute ML pipeline training tasks in Azure Machine Learning.
Why each option is right or wrong
A. Yes
Azure Machine Learning designer v2 can submit pipeline jobs to an Azure Machine Learning compute target, and a compute instance is one of the supported compute types for running those jobs in the workspace. In practice, a compute instance is a managed VM provisioned in the workspace and can be used to execute training and pipeline steps without needing to create separate infrastructure for the run.
B. No **Correct answer:** A. Yes **Explanation:** **Machine Learning compute clusters** are the ideal infrastructure for running pipelines within Designer v2 in Azure Machine Learning. They are scalable and designed for batch or flow training jobs. **Reference:** - [Azure ML Compute Targets](https://learn.microsoft.com/en-us/azure/machine-learning/concept-compute-target) ---