AI-300 ML Model Lifecycle And Operations Practice Question
You have an automated model training pipeline that is failing intermittently due to compute availability. What should you configure to ensure the pipeline is more resilient?
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
✓
Configure 'retry' settings for the step.
You should configure 'retry' settings in the 'PipelineStep' definition to handle transient compute errors.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Increase the 'max_nodes' of the cluster.
Why it's wrong here
This increases capacity, not resilience.
- ✗
Set the 'allow_reuse' parameter to True.
Why it's wrong here
This helps with caching, not failure recovery.
- ✗
Use 'LowPriority' compute.
Why it's wrong here
This actually makes it less resilient to preemption.
- ✓
Configure 'retry' settings for the step.
Why this is correct
Retries handle transient failures.
About these practice questions
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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.