- A
SageMaker Clarify
SageMaker Clarify provides bias metrics and can be scheduled to monitor predictions after deployment.
- B
AWS Audit Manager
Why wrong: Audit Manager is for auditing compliance, not model bias.
- C
SageMaker Model Monitor
Why wrong: Model Monitor does not have built-in bias monitoring; it focuses on data and model quality drift.
- D
Amazon Macie
Why wrong: Macie is for data discovery and classification, not model monitoring.
Question 571 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. Examine the command output carefully: the correct answer depends on what the output actually shows, not on general recall alone. 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 hospital deploys a model to predict patient readmission risk. To comply with regulations, they must ensure that the model's predictions do not show bias against any demographic group over time. Which service should they use for ongoing monitoring?
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
SageMaker Clarify is the correct service because it is specifically designed to detect bias in ML model predictions and can be configured for ongoing monitoring. It provides bias metrics (e.g., difference in positive proportion, disparate impact) and can run on a schedule to continuously evaluate predictions against demographic groups, ensuring regulatory compliance over time.
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.
- ✓
SageMaker Clarify
Why this is correct
SageMaker Clarify provides bias metrics and can be scheduled to monitor predictions after deployment.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
AWS Audit Manager
Why it's wrong here
Audit Manager is for auditing compliance, not model bias.
- ✗
SageMaker Model Monitor
Why it's wrong here
Model Monitor does not have built-in bias monitoring; it focuses on data and model quality drift.
- ✗
Amazon Macie
Why it's wrong here
Macie is for data discovery and classification, not model monitoring.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is confusing SageMaker Model Monitor (which tracks data drift) with SageMaker Clarify (which tracks bias), leading candidates to choose Model Monitor because they think 'monitoring' covers all aspects of model health, but bias detection requires a separate, specialized tool.
Detailed technical explanation
How to think about this question
SageMaker Clarify uses pre-built bias metrics such as Difference in Positive Proportions (DPPL), Disparate Impact (DI), and Conditional Demographic Disparity (CDD). For ongoing monitoring, you can create a bias monitor that runs on a schedule (e.g., hourly or daily) against a baseline, and it generates reports in Amazon S3 with detailed bias analysis per attribute. This is critical in healthcare because regulations like HIPAA and state-level AI fairness laws require continuous auditing of model outcomes across protected groups (e.g., race, age, gender).
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.
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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 — SageMaker Clarify is the correct service because it is specifically designed to detect bias in ML model predictions and can be configured for ongoing monitoring. It provides bias metrics (e.g., difference in positive proportion, disparate impact) and can run on a schedule to continuously evaluate predictions against demographic groups, ensuring regulatory compliance over time.
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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