MLA-C01 Practice Question: ML Solution Monitoring, Maintenance, and Security
A company uses SageMaker Model Monitor for feature attribution drift monitoring with SHAP. Which THREE prerequisites must be in place before starting the monitoring schedule? (Select THREE)
⚠ Common exam trap
Test-takers frequently confuse the prerequisites for feature attribution drift monitoring with those for data quality monitoring, mistakenly selecting the baseline constraints file (Option C) instead of the baseline SHAP explainability file (Option E).
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
✓
A SageMaker Clarify processing job that computes SHAP values on the captured data
SageMaker Model Monitor requires a Clarify processing job to compute SHAP values on the captured data as part of the feature attribution drift monitoring setup. This job generates the necessary SHAP explainability values that are compared against the baseline to detect drift.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
A SageMaker Clarify processing job that computes SHAP values on the captured data
Why this is correct
Clarify runs the SHAP analysis on the current data to compare with baseline.
- ✗
Ground truth labels for the inference data
Why it's wrong here
Ground truth labels are not needed for SHAP-based feature attribution drift.
- ✗
Baseline constraints file for data quality
Why it's wrong here
Data quality constraints are not required for feature attribution drift.
- ✓
Real-time endpoint with data capture enabled
Why this is correct
Data capture collects inference data for SHAP computation.
- ✓
A baseline SHAP explainability file from training data
Why this is correct
Baseline SHAP values are needed to compare against current attributions.
Go deeper
Related to this question
About these practice questions
This MLA-C01 question is part of Courseiva's 835-question bank — original exam-style content with full explanations and wrong-answer analysis, never real exam questions or exam dumps. Learn why practice questions differ from exam dumps →
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.