Microsoft Azure AI Fundamentals (AI-900) Practice Exam

Can you save your progress as a pipeline draft in Azure ML designer?

1. Yes

2. No

3. Only after completing all modules

4. Only in the cloud version

The correct answer is: Yes

In Azure Machine Learning (ML) designer, users have the ability to save their work as a pipeline draft. This feature allows users to pause their progress and return to it later without losing any work or having to start over. When developing machine learning models, it is common to experiment with various components and configurations, making drafts an essential tool for workflow management. Saving as a draft provides flexibility to iterate on designs and collaborate with others more effectively. Having the option to save drafts is particularly beneficial in a collaborative environment where multiple users may be working on the same project at different times. This allows individuals to update and refine their contributions without the risk of data loss. Regarding the other options, the capability to save pipeline drafts is not limited to the completion of all modules, nor is it restricted to the cloud version only. This means that saving progress as a draft is a versatile feature, accessible in various contexts within Azure ML designer. Thus, having the capability to save your progress makes it a valuable feature for users working on machine learning projects.