- A
Amazon QuickSight with Athona queries
Why wrong: QuickSight is for visualization, not bias monitoring.
- B
AWS CloudTrail for prediction logging
Why wrong: CloudTrail logs API calls, not bias metrics.
- C
SageMaker Model Monitor with data quality monitoring
Why wrong: Model Monitor does not monitor bias; it monitors data, model quality, and feature attribution.
- D
SageMaker Clarify with bias drift monitoring
Clarify offers bias monitoring after deployment, detecting shifts in fairness metrics.
Question 807 of 1,000
MLA-C01 Practice Question: ML Solution Monitoring, Maintenance, and Security
This MLA-C01 practice question tests your understanding of ml solution monitoring, maintenance, and security. Match the stated requirement to the specific cloud service, access model, or configuration option — many options are valid in isolation but not for this scenario. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.
A machine learning team wants to monitor bias in a deployed model's predictions on an ongoing basis. Which AWS service should they use to schedule bias monitoring jobs and generate reports?
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 Clarify with bias drift monitoring
SageMaker Clarify is the correct choice because it provides built-in bias drift monitoring capabilities that can be scheduled to run on a recurring basis. It evaluates predictions against pre-training and post-training bias metrics (e.g., DPL, DI, CDDL) and generates detailed reports, making it the only service designed specifically for ongoing bias monitoring in deployed models.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Amazon QuickSight with Athona queries
Why it's wrong here
QuickSight is for visualization, not bias monitoring.
- ✗
AWS CloudTrail for prediction logging
Why it's wrong here
CloudTrail logs API calls, not bias metrics.
- ✗
SageMaker Model Monitor with data quality monitoring
Why it's wrong here
Model Monitor does not monitor bias; it monitors data, model quality, and feature attribution.
- ✓
SageMaker Clarify with bias drift monitoring
Why this is correct
Clarify offers bias monitoring after deployment, detecting shifts in fairness metrics.
Related concept
Read the scenario before looking for a memorised answer.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates confuse SageMaker Model Monitor (which handles data and model quality drift) with SageMaker Clarify (which handles bias and explainability drift), leading them to select Option C even though it does not support bias-specific monitoring.
Detailed technical explanation
How to think about this question
SageMaker Clarify bias drift monitoring works by comparing the distribution of predictions against a baseline dataset using metrics such as Difference in Positive Proportions (DPPL) and Conditional Demographic Disparity (CDDL). Under the hood, it uses the same SHAP-based explainability engine to attribute feature importance and can be configured to trigger CloudWatch alarms when bias thresholds are breached. In a real-world scenario, a financial institution might schedule weekly Clarify jobs to ensure a loan approval model does not exhibit gender bias as new application data arrives.
KKey Concepts to Remember
- Read the scenario before looking for a memorised answer.
- Find the constraint that changes the correct option.
- Eliminate answers that are true in general but not in this case.
TExam Day Tips
- Watch for words such as best, first, most likely and least administrative effort.
- Review why wrong options are wrong, not only why the correct option is correct.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
How this comes up in practice
A cloud solutions architect for a retail company is evaluating services for a new workload. The correct answer here reflects best practice for the specific scenario described — not a general cloud recommendation. Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option. Cloud exam questions reward reading the constraint carefully: the same technology can be right or wrong depending on the use case.
What to study next
Got this wrong? Here's your next step.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
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ML Solution Monitoring, Maintenance, and Security — study guide chapter
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FAQ
Questions learners often ask
What does this MLA-C01 question test?
ML Solution Monitoring, Maintenance, and Security — This question tests ML Solution Monitoring, Maintenance, and Security — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: SageMaker Clarify with bias drift monitoring — SageMaker Clarify is the correct choice because it provides built-in bias drift monitoring capabilities that can be scheduled to run on a recurring basis. It evaluates predictions against pre-training and post-training bias metrics (e.g., DPL, DI, CDDL) and generates detailed reports, making it the only service designed specifically for ongoing bias monitoring in deployed models.
What should I do if I get this MLA-C01 question wrong?
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
About these practice questions
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Last reviewed: Jul 4, 2026
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.
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