- A
Use Amazon Rekognition to analyze images after generation.
Why wrong: Rekognition adds extra cost and latency, and may still allow harmful images to be generated first.
- B
Manually review all images before posting.
Why wrong: Manual review is slow and not feasible for high-volume campaigns.
- C
Restrict the prompt to avoid triggering keywords.
Why wrong: Prompt restrictions do not guarantee the model will avoid generating harmful content.
- D
Enable the safety checker in Amazon Bedrock's image generation models.
Built-in safety checker filters out inappropriate images without additional overhead.
Question 886 of 1,000
AIF-C01 Applications of Foundation Models Practice Question
This AIF-C01 practice question tests your understanding of applications of foundation models. 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 marketing agency uses a foundation model to generate images for social media campaigns. Some generated images have contained violent or inappropriate content, damaging the brand. The agency needs to prevent such content from being displayed automatically. They are using Amazon Bedrock for image generation with Stable Diffusion. What is the most effective way to filter out inappropriate images?
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
✓
Enable the safety checker in Amazon Bedrock's image generation models.
Option D is correct because Amazon Bedrock's image generation models (including Stable Diffusion) have a built-in safety checker that automatically detects and blocks NSFW or inappropriate content during generation, preventing such images from being output without manual effort. Option A (Amazon Rekognition) adds cost and latency for post-generation analysis, while Option B (manual review) is not scalable. Option C (restricting the prompt) is unreliable as models can still generate inappropriate content from seemingly safe prompts.
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.
- ✗
Use Amazon Rekognition to analyze images after generation.
Why it's wrong here
Rekognition adds extra cost and latency, and may still allow harmful images to be generated first.
- ✗
Manually review all images before posting.
Why it's wrong here
Manual review is slow and not feasible for high-volume campaigns.
- ✗
Restrict the prompt to avoid triggering keywords.
Why it's wrong here
Prompt restrictions do not guarantee the model will avoid generating harmful content.
- ✓
Enable the safety checker in Amazon Bedrock's image generation models.
Why this is correct
Built-in safety checker filters out inappropriate images without additional overhead.
Related concept
Read the scenario before looking for a memorised answer.
Common exam traps
Common exam trap: answer the scenario, not the keyword
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
How to think about this question
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.
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.
- Use explanations to understand the rule behind the answer.
TExam Day Tips
- Underline the problem statement mentally.
- 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 startup's cloud architect reviews their monthly bill and notices costs are higher than expected for a long-running batch job. Switching from on-demand instances to Reserved Instances — or using Spot/Preemptible VMs — can reduce compute costs by up to 72 %. Questions like this test whether you understand the tradeoffs between commitment, flexibility, and cost across cloud pricing models.
What to study next
Got this wrong? Here's your next step.
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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Applications of Foundation Models — study guide chapter
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FAQ
Questions learners often ask
What does this AIF-C01 question test?
Applications of Foundation Models — This question tests Applications of Foundation Models — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Enable the safety checker in Amazon Bedrock's image generation models. — Option D is correct because Amazon Bedrock's image generation models (including Stable Diffusion) have a built-in safety checker that automatically detects and blocks NSFW or inappropriate content during generation, preventing such images from being output without manual effort. Option A (Amazon Rekognition) adds cost and latency for post-generation analysis, while Option B (manual review) is not scalable. Option C (restricting the prompt) is unreliable as models can still generate inappropriate content from seemingly safe prompts.
What should I do if I get this AIF-C01 question wrong?
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.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
About these practice questions
Courseiva creates original exam-style practice questions with explanations and wrong-answer analysis. It does not publish real exam questions, exam dumps, or protected exam content. Learn why practice questions differ from exam dumps →
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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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