AIF-C01 Applications of Foundation Models Practice Question
A company wants to use a foundation model to automatically moderate user-generated content. The model must filter out inappropriate content with high accuracy. Which Amazon service is best suited for this task?
⚠ Common exam trap
It's easy for candidates to confuse Amazon Rekognition's ability to detect unsafe content in images with the need to moderate text, leading them to select Rekognition instead of recognizing that Comprehend is the NLP service for text analysis.
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 Comprehend
Amazon Comprehend is the correct choice because it is a natural language processing (NLP) service that can analyze text for sentiment, key phrases, and — critically — toxicity and inappropriate content using built-in or custom classifiers. This directly matches the requirement to moderate user-generated text with high accuracy, as it can detect hate speech, profanity, and other harmful language.
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 Translate
Why it's wrong here
Translate is for translation, not moderation.
- ✗
Amazon Rekognition
Why it's wrong here
Rekognition is for visual content, not text moderation.
- ✗
Amazon Polly
Why it's wrong here
Polly converts text to speech.
- ✓
Amazon Comprehend
Why this is correct
Comprehend offers content moderation features.
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JA
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.