- A
Amazon Augmented AI (A2I)
A2I enables human review of flagged images to enforce content policies.
- B
Amazon Rekognition
Rekognition provides image moderation to detect unsafe content.
- C
Amazon GuardDuty
Why wrong: GuardDuty is a threat detection service for AWS accounts.
- D
AWS WAF
Why wrong: WAF protects web applications from common exploits, not image content.
- E
Amazon Comprehend
Why wrong: Comprehend is for text analysis, not images.
Question 338 of 1,000
Image Content Moderation with Amazon Augmented AI and Rekognition
This AIF-C01 practice question tests your understanding of applications of foundation models. Match the stated requirement to the specific cloud service, access model, or configuration option — many options are valid in isolation but not for this scenario. 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 is using Amazon Bedrock to generate images. They want to ensure the outputs comply with content policies. Which TWO AWS services can help? (Choose two.)
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
✓
Amazon Augmented AI (A2I)
Amazon Augmented AI (A2I) is correct because it enables human review of model predictions to ensure compliance with content policies. For image generation on Bedrock, A2I can route outputs that fall below a confidence threshold to human reviewers, providing a safety net for policy adherence.
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.
- ✓
Amazon Augmented AI (A2I)
Why this is correct
A2I enables human review of flagged images to enforce content policies.
Related concept
Read the scenario before looking for a memorised answer.
- ✓
Amazon Rekognition
Why this is correct
Rekognition provides image moderation to detect unsafe content.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Amazon GuardDuty
Why it's wrong here
GuardDuty is a threat detection service for AWS accounts.
- ✗
AWS WAF
Why it's wrong here
WAF protects web applications from common exploits, not image content.
- ✗
Amazon Comprehend
Why it's wrong here
Comprehend is for text analysis, not images.
Common exam traps
Common exam trap: answer the scenario, not the keyword
AWS often tests the distinction between services that analyze images (Rekognition) versus text (Comprehend), and candidates may mistakenly choose Comprehend for image content moderation without recognizing it is NLP-only.
Detailed technical explanation
How to think about this question
Under the hood, Amazon Rekognition provides image moderation APIs that can detect explicit or suggestive content, violence, and other inappropriate elements in images. When integrated with Bedrock, you can set up a workflow where generated images are passed to Rekognition's DetectModerationLabels API, which returns confidence scores for each category, enabling automated policy enforcement before outputs are delivered.
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.
TExam Day Tips
- 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 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
Got this wrong? Here's your next step.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
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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: Amazon Augmented AI (A2I) — Amazon Augmented AI (A2I) is correct because it enables human review of model predictions to ensure compliance with content policies. For image generation on Bedrock, A2I can route outputs that fall below a confidence threshold to human reviewers, providing a safety net for policy adherence.
What should I do if I get this AIF-C01 question wrong?
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
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 →
Same concept, more angles
1 more ways this is tested on AIF-C01
These questions test the same concept from different angles. Work through them to make sure you can recognise it however the exam phrases it.
Variation 1. A company is using Amazon Bedrock to generate images from text prompts. They need to ensure the generated images do not contain offensive content. Which feature should be enabled?
medium- A.VPC endpoints
- B.AWS WAF
- ✓ C.Content moderation with AI
- D.IAM policies
Why C: Amazon Bedrock's content moderation with AI feature allows you to filter generated images for offensive or inappropriate content by applying predefined or custom moderation policies. This is the correct choice because it directly addresses the requirement to ensure generated images do not contain offensive material, leveraging machine learning models to detect and block such content at inference time.
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Last reviewed: Jun 30, 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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