AIF-C01 Practice Question: Security, Compliance, and Governance for AI Solutions
A company is deploying an AI model on Amazon SageMaker and needs to monitor for model drift over time. Which TWO actions should they take? (Choose TWO)
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
✓
Enable data capture on the SageMaker endpoint to store real-time inference data in S3
SageMaker Model Monitor can detect drift in model quality, data quality, and bias. Capturing inference data is a prerequisite for monitoring. The other options are either unrelated or not directly for drift detection.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Use AWS CloudTrail to log all inference requests and responses
Why it's wrong here
CloudTrail logs API calls, not inference payloads; it cannot detect model drift.
- ✓
Enable data capture on the SageMaker endpoint to store real-time inference data in S3
Why this is correct
Data capture is required to collect the data that Model Monitor will analyze for drift.
- ✗
Store model artifacts in Amazon ECR and tag each version
Why it's wrong here
ECR is for container images; tagging versions is good practice but does not monitor drift.
- ✗
Set up Amazon CloudWatch anomaly detection on the endpoint invocation count
Why it's wrong here
Anomaly detection on invocation count detects traffic changes, not model drift.
- ✓
Configure SageMaker Model Monitor to schedule monitoring jobs that compare new data against a baseline
Why this is correct
Model Monitor uses baselines to detect deviations in data quality, model quality, or bias.
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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.