easyMultiple Select
AIF-C01 Practice Question: Document their machine learning model's intended…
A company wants to document their machine learning model's intended use, limitations, and ethical considerations. Which TWO practices should they adopt? (Choose two.)
⚠ Common exam trap
AIF-C01 often tests the distinction between governance/documentation practices (model cards) and operational practices (retraining, monitoring, A/B testing) — candidates pick monitoring tools because they sound responsible, but the question is specifically about documenting intent and ethics.
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
✓
Create a model card that describes the model's purpose, performance, and fairness metrics
Option A is correct because a model card is the standard artifact for documenting a model's intended use, limitations, performance, and fairness/ethical considerations, directly satisfying the requirement to document purpose and ethics. Option C is correct because Amazon SageMaker Model Cards is the AWS service purpose-built to create, version, and share this structured model documentation (including intended use, risk ratings, and evaluation results) with stakeholders. Option B is incorrect because weekly automatic retraining is an MLOps maintenance activity that improves freshness but does not document intended use, limitations, or ethics. Option D is incorrect because CloudWatch alarms monitor operational metrics such as accuracy drift or latency and provide no documentation of purpose or ethical considerations. Option E is incorrect because A/B testing compares model versions for performance or business impact and does not produce the required documentation.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Create a model card that describes the model's purpose, performance, and fairness metrics
Why this is correct
A model card documents intended use, limitations, performance and fairness metrics in one artefact, directly satisfying the requirement to record purpose, constraints and ethical considerations. It provides structured transparency for stakeholders reviewing the model's responsible AI posture.
- ✗
Automatically retrain the model weekly
Why it's wrong here
Weekly automatic retraining refreshes model parameters with new data, an MLOps operational activity that documents nothing about intended use, limitations or ethics. It is tempting because retraining supports ongoing model quality, but the required deliverable is written governance documentation such as a model card, not a scheduled training pipeline.
- ✓
Use Amazon SageMaker Model Cards to version and share model documentation
Why this is correct
Amazon SageMaker Model Cards provide a structured schema for recording intended use, limitations, and ethical considerations, then versioning that documentation alongside the model. This directly satisfies the stem's requirement to document all three areas, and versioning keeps the record traceable as the model evolves.
- ✗
Set up Amazon CloudWatch alarms to monitor model accuracy
Why it's wrong here
CloudWatch alarms monitor operational metrics such as accuracy drift and trigger notifications, which is runtime observability rather than documentation of intended use, limitations or ethical considerations. It is tempting because monitoring supports responsible AI, but the scenario requires written governance artefacts like model cards, not metric thresholds and alerting.
- ✗
Conduct A/B testing between different model versions
Why it's wrong here
A/B testing compares model versions against live traffic to measure performance differences, producing metrics rather than documentation of intended use, limitations or ethics. It is tempting because experimentation supports responsible deployment, but model cards or AI service cards are the artefacts that actually record purpose, constraints and ethical considerations for stakeholders.
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JA
Written and reviewed by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
Last reviewed September 2026 · checked against the official Amazon Web Services exam blueprint
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.