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 company uses Amazon Rekognition for facial analysis. They want to ensure the model doesn't exhibit bias based on skin tone. What should they do?
Ensure the training dataset includes diverse skin tones
Balanced representation mitigates bias.
Apply data augmentation to increase dataset size
Why wrong: Data augmentation does not guarantee diversity.
Use a larger neural network
Why wrong: Network size does not address bias.
Use a pre-trained model from AWS Marketplace
Why wrong: Pre-trained models may have inherent bias.
Answer choices
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
Ensure the training dataset includes diverse skin tones
Option D is correct: Training on diverse data reduces bias. Option A is wrong: Network size does not address bias. Option B is wrong: Data augmentation does not guarantee diversity. Option C is wrong: Pre-trained models may have inherent bias.
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.
Ensure the training dataset includes diverse skin tones
Why this is correct
Balanced representation mitigates bias.
Related concept
Read the scenario before looking for a memorised answer.
Apply data augmentation to increase dataset size
Why it's wrong here
Data augmentation does not guarantee diversity.
Use a larger neural network
Why it's wrong here
Network size does not address bias.
Use a pre-trained model from AWS Marketplace
Why it's wrong here
Pre-trained models may have inherent bias.
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 healthcare organisation deploys an application with a public-facing web tier and a private database tier. The database subnet has no public IP and only accepts connections from the web tier's security group. Questions like this test whether you can design cloud network isolation using VNets/VPCs, subnets, and security group rules.
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: Ensure the training dataset includes diverse skin tones — Option D is correct: Training on diverse data reduces bias. Option A is wrong: Network size does not address bias. Option B is wrong: Data augmentation does not guarantee diversity. Option C is wrong: Pre-trained models may have inherent bias.
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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