AI-300 ML Model Lifecycle And Operations Practice Question
You are optimizing your Azure ML pipeline performance. Which THREE steps should you take to reduce execution time?
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
✓
Mount datasets instead of downloading them.
Caching (reuse), parallelizing steps, and using efficient data access methods are key.
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 number of workspaces.
Why it's wrong here
Increases management overhead.
- ✗
Use smaller compute clusters for everything.
Why it's wrong here
Smaller clusters may be slower.
- ✓
Mount datasets instead of downloading them.
Why this is correct
Saves I/O time.
- ✓
Enable step run reuse.
Why this is correct
Prevents re-running identical steps.
- ✓
Use 'ParallelRunStep' for batch processing.
Why this is correct
Distributes the load.
About these practice questions
Courseiva writes every AI-300 question from scratch — 204 in total, each with an explanation and a wrong-answer breakdown. None are copied from real exams or dumps. Learn why practice questions differ from exam dumps →
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.