MLA-C01 ML Model Development Practice Question
A company wants to use SageMaker Autopilot for a regression problem. They require an explainability report that shows feature importance globally. Which Autopilot feature should they enable?
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
✓
Explainability report generation
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
AutoML candidate generation
Why it's wrong here
This is the core process, not a report.
- ✗
Ensembling mode
Why it's wrong here
Ensembling improves accuracy but does not provide explainability.
- ✗
Hyperparameter optimization
Why it's wrong here
HPO is part of the process but not for explainability.
- ✓
Explainability report generation
Why this is correct
Autopilot can generate explainability reports including global feature importance.
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JA
Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
This MLA-C01 practice question is part of Courseiva's free Amazon Web Services 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 MLA-C01 exam.