AI-300 ML Model Lifecycle And Operations Practice Question
You are debugging an Azure ML pipeline. You want to see the stdout of a specific step that failed. How do you access this?
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Run 'az ml job get-logs' with the job ID.
You can access the logs for each step by clicking on the 'Outputs + logs' tab of that specific step run in the Azure ML Studio interface.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Check the 'Experiment' dashboard settings.
Why it's wrong here
Dashboard settings are for visualization.
- ✓
Run 'az ml job get-logs' with the job ID.
Why this is correct
This command retrieves the logs for the specified job run.
- ✗
Download the 'run.json' file.
Why it's wrong here
This file contains metadata, not execution logs.
- ✗
Look in the 'Workspace' logs folder.
Why it's wrong here
There is no such folder in the UI.
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JA
Written and reviewed by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
Last reviewed August 2026 · checked against the official Microsoft exam blueprint
This AI-300 practice question is part of Courseiva's free Microsoft certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the AI-300 exam.