AIF-C01 Guidelines for Responsible AI Practice Question
A team is developing an AI system and wants to document key information such as intended use, performance benchmarks, and limitations. According to AWS best practices for responsible AI, what should they create?
⚠ Common exam trap
Many exam-takers confuse a general-purpose document like a whitepaper or blog with the specific, structured artifact (model card) that AWS mandates for responsible AI documentation, overlooking the need for standardized transparency fields.
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
✓
Model cards
Model cards are a structured documentation framework recommended by AWS for responsible AI. They provide a standardized way to communicate key information such as intended use, performance benchmarks, limitations, and ethical considerations, ensuring transparency and accountability.
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 whitepaper
Why it's wrong here
A whitepaper is a marketing or thought-leadership document, not a per-system governance record, so it cannot reliably capture intended use, benchmarks and limitations for a specific AI system. It is tempting because whitepapers discuss AI methodology at length, but AWS best practice calls for structured system documentation such as an AI service card.
- ✗
A business requirement document
Why it's wrong here
A business requirement document captures commercial goals, stakeholders and acceptance criteria, not model-level transparency artefacts. AWS responsible-AI guidance expects an AI system to publish intended use, benchmarks and limitations in a model card, which is the deliverable that satisfies this scenario.
- ✗
A technical blog
Why it's wrong here
A technical blog is informal, opinion-led and not a controlled artefact, so it cannot serve as the authoritative record of intended use, benchmarks and limitations. It is tempting because blogs communicate AI work publicly, but AWS responsible AI guidance expects a structured AI system documentation artefact such as an AI service card.
- ✓
Model cards
Why this is correct
Model cards document intended use, performance benchmarks, and limitations, directly satisfying the stem's requirement to record these three artefacts. Unlike data sheets, which describe datasets, model cards capture model-level transparency information aligned with AWS responsible AI practise for governance and informed downstream use.
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
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.