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
Amazon Translate performs neural machine translation between languages; it returns translated text, not a moderation verdict, so it cannot flag inappropriate content. It is tempting because it processes user-generated text at scale, and it would be correct where the requirement is localising that content into another language.
- ✗
Amazon Rekognition
Why it's wrong here
Rekognition performs image and video analysis, so it cannot moderate text content. It is tempting because Rekognition does offer content-moderation labels for visual media, but for filtering user-generated text the correct service is Amazon Comprehend, which provides toxicity and sentiment detection.
- ✗
Amazon Polly
Why it's wrong here
Amazon Polly converts text into lifelike speech, producing audio output rather than a content classification, so it cannot filter inappropriate material. It is tempting because it consumes user-generated text, and it would be correct where the requirement is adding voice narration or accessibility audio to that content.
- ✓
Amazon Comprehend
Why this is correct
Amazon Comprehend provides pre-trained content moderation that detects harmful or inappropriate text categories, returning confidence scores for filtering user-generated content. It delivers the required accuracy without building custom models, unlike general-purpose services such as Bedrock or Rekognition.
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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.