AIF-C01 Practice Question: Security, Compliance, and Governance for AI Solutions
A company uses Amazon SageMaker Clarify to monitor a deployed model for bias. After running an analysis, they find that the model's predictions have a disparate impact on a protected group. What is the MOST appropriate next step?
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
✓
Investigate the root cause of bias, then use techniques such as reweighing training data or applying bias mitigation algorithms before redeploying
Discovering bias requires investigation and mitigation. SageMaker Clarify can help identify bias, but mitigation typically involves retraining with balanced data or adjusting model outputs.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Investigate the root cause of bias, then use techniques such as reweighing training data or applying bias mitigation algorithms before redeploying
Why this is correct
Bias mitigation involves understanding the cause and applying methods like data reweighing or post-processing adjustments.
- ✗
Modify the SageMaker endpoint to add a random noise to predictions for the protected group
Why it's wrong here
Adding random noise is not a standard or ethical bias mitigation technique.
- ✗
Ignore the results because SageMaker Clarify is still in preview
Why it's wrong here
SageMaker Clarify is generally available. Ignoring bias is not responsible.
- ✗
Immediately delete the model and retrain from scratch using only data from the protected group
Why it's wrong here
Deleting the model is drastic; retraining only with protected group data is not a standard mitigation approach.
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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.