AIF-C01 Practice Question: Security, Compliance, and Governance for AI Solutions
A company uses SageMaker Clarify to detect bias in a deployed model. The monitoring must run automatically on a schedule. Which SageMaker feature should they use?
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
✓
SageMaker Model Monitor
SageMaker Model Monitor can be configured to run bias detection jobs on a schedule using Clarify's bias metrics.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
SageMaker Pipelines
Why it's wrong here
Pipelines orchestrate ML workflows but are not specifically for scheduled bias monitoring.
- ✗
SageMaker Experiments
Why it's wrong here
Experiments track training runs, not scheduled monitoring.
- ✗
SageMaker Data Wrangler
Why it's wrong here
Data Wrangler is for data preparation, not scheduled bias detection.
- ✓
SageMaker Model Monitor
Why this is correct
Model Monitor can schedule bias detection with Clarify and track drift.
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JA
Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
This AIF-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 AIF-C01 exam.