MLA-C01 Practice Question: ML Solution Monitoring, Maintenance, and Security
A team uses SageMaker Clarify to monitor bias drift on a deployed model. They have defined a baseline with training data and set up a monitoring schedule. After one month, they receive a violation report indicating that the post-training metrics have deviated from the baseline. What does this violation indicate?
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
✓
The model's predictions relative to sensitive attributes have shifted compared to the training baseline
SageMaker Clarify bias drift monitoring compares predicted outcomes (post-training) against the baseline to detect changes in fairness metrics like disparate impact. It does not measure prediction accuracy or data quality.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
The model's predictions relative to sensitive attributes have shifted compared to the training baseline
Why this is correct
Bias drift monitoring tracks predefined fairness metrics over time, and a violation indicates a significant change in those metrics.
- ✗
The SHAP values for features have changed
Why it's wrong here
SHAP value changes are monitored by feature attribution drift, not bias drift.
- ✗
The model's predictions are becoming less accurate
Why it's wrong here
Bias metrics are about fairness, not overall accuracy. A bias drift does not directly imply accuracy degradation.
- ✗
The distribution of input features has changed
Why it's wrong here
Input distribution changes are detected by data quality monitoring, not bias drift monitoring.
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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.