This AIF-C01 practice question tests your understanding of guidelines for responsible ai. Read the scenario carefully and evaluate each option against the stated constraints before committing to an answer. 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 large enterprise has multiple teams deploying ML models on AWS. To ensure governance and accountability, they need to enforce that all models pass a fairness review before production deployment. Which SageMaker feature should they use to implement this approval workflow?
SageMaker Studio
Why wrong: Studio is an IDE; it does not provide built-in model approval workflows.
SageMaker Experiments
Why wrong: Experiments track training runs but do not enforce approval workflows.
SageMaker Model Monitor
Why wrong: Model Monitor detects drift but does not manage approvals.
SageMaker Model Registry
Model Registry supports versioning, metadata, and approval statuses for governance.
Answer choices
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
SageMaker Model Registry
SageMaker Model Registry manages model versions and supports approval statuses (e.g., Approved, Rejected). This integrates with CI/CD pipelines to enforce review gates. Experiments, Model Monitor, and Studio do not provide such workflow capabilities.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
For each option: why learners choose it and why it is or isn't the right answer here.
SageMaker Studio
Why it's wrong here
Studio is an IDE; it does not provide built-in model approval workflows.
SageMaker Experiments
Why it's wrong here
Experiments track training runs but do not enforce approval workflows.
SageMaker Model Monitor
Why it's wrong here
Model Monitor detects drift but does not manage approvals.
SageMaker Model Registry
Why this is correct
Model Registry supports versioning, metadata, and approval statuses for governance.
Related concept
Read the scenario before looking for a memorised answer.
Common exam traps
Many certification questions include familiar terms but test a specific constraint. Read the exact wording before choosing an answer that is generally true but wrong for this case.
Detailed technical explanation
This question should be treated as a scenario, not a definition check. Identify the problem, the constraint and the best action. Then compare each option against those facts.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
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
Identify which AIF-C01 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
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FAQ
Guidelines for Responsible AI — This question tests Guidelines for Responsible AI — Read the scenario before looking for a memorised answer..
The correct answer is: SageMaker Model Registry — SageMaker Model Registry manages model versions and supports approval statuses (e.g., Approved, Rejected). This integrates with CI/CD pipelines to enforce review gates. Experiments, Model Monitor, and Studio do not provide such workflow capabilities.
Identify which AIF-C01 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
Read the scenario before looking for a memorised answer.
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Last reviewed: Jun 23, 2026
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.
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