AI-300 ML Model Lifecycle And Operations Practice Question
You are configuring an 'Azure Machine Learning Compute Cluster' for a heavy training job. You want to ensure it shuts down automatically when no jobs are running. What setting should you configure?
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
✓
'min_nodes' set to 0.
The 'idle_seconds_before_scaledown' property in the compute configuration determines how long the cluster waits before removing idle nodes.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
'min_nodes' set to 0.
Why this is correct
Wait, min_nodes set to 0 allows the cluster to shrink to zero, but 'idle_seconds_before_scaledown' is the specific property that controls the timing.
- ✗
'max_nodes' set to 0.
Why it's wrong here
This would prevent any jobs from running.
- ✗
'cluster_priority' to 'LowPriority'.
Why it's wrong here
This is for cost savings via spot instances, not shutdown.
- ✓
'idle_seconds_before_scaledown'.
Why this is correct
This is the standard setting for auto-shutdown.
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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.