Quick Answer
Amazon Comprehend is the correct choice for content moderation of text because it is a fully managed natural language processing service that uses pre-trained foundation models to analyze text for toxicity, hate speech, profanity, and other inappropriate content with high accuracy. It offers built-in classifiers specifically designed for content moderation, allowing you to automatically filter user-generated text without needing to train custom models from scratch. On the AWS Certified AI Practitioner AIF-C01 exam, this scenario tests your ability to match a specific NLP use case to the right service, and a common trap is confusing Amazon Comprehend with Amazon Rekognition, which handles image and video moderation, not text. Remember the memory tip: “Comprehend the text, Rekognize the image” to keep them straight.
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 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?
Clue words in this question
Noticing these words before you look at the options changes how you read each choice.
Clue: "best"
Why it matters: Signals that multiple options may be partially correct. Choose the option that most directly solves the exact problem described, not the one that sounds most complete.
Amazon Translate
Why wrong: Translate is for translation, not moderation.
Amazon Rekognition
Why wrong: Rekognition is for visual content, not text moderation.
Amazon Polly
Why wrong: Polly converts text to speech.
Amazon Comprehend
Comprehend offers content moderation features.
Answer choices
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.
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.
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.
Clue confirmation
The clue word "best" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
Common exam traps
The trap here is that candidates may 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.
Detailed technical explanation
Amazon Comprehend uses a deep learning model trained on large corpora to perform tasks like entity recognition, sentiment analysis, and toxicity detection. For content moderation, you can use the built-in 'Toxicity Detection' feature or train a custom classifier with Amazon Comprehend's Active Learning capabilities to fine-tune for specific inappropriate content types. In a real-world scenario, a social media platform could integrate Comprehend to automatically flag and remove hate speech in user comments before publication.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
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
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
Applications of Foundation Models — This question tests Applications of Foundation Models — Read the scenario before looking for a memorised answer..
The correct answer is: 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.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
Yes — watch for: "best". Signals that multiple options may be partially correct. Choose the option that most directly solves the exact problem described, not the one that sounds most complete.
Read the scenario before looking for a memorised answer.
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Last reviewed: Jun 25, 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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