Quick Answer
Amazon Comprehend is the correct choice because it is a fully managed natural language processing (NLP) service that provides built-in toxicity detection and real-time content moderation across multiple languages, making it ideal for flagging hate speech, threats, and other harmful comments in a live user stream. The service analyzes text using pre-trained models and can be integrated with Amazon Kinesis to process high-velocity comment streams in real time, meeting the social media company’s need for automated, multi-language moderation. On the AWS Certified AI Practitioner AIF-C01 exam, this question tests your ability to match a specific NLP use case—real-time toxic comment detection—to the correct service, with a common trap being to confuse Amazon Comprehend with Amazon Rekognition (which handles image and video moderation) or Amazon SageMaker (which requires custom model training). Remember the memory tip: “Comprehend the comment, Rekognize the image”—if the task involves analyzing text for toxicity, always think of Comprehend first.
This AIF-C01 practice question tests your understanding of fundamentals of ai and ml. 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 social media company needs to automatically detect and flag toxic comments in multiple languages. They have a large stream of user comments and require real-time moderation. Which AWS 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 Lex
Why wrong: Lex is for conversational interfaces, not content moderation.
Amazon Comprehend
Amazon Comprehend provides built-in sentiment analysis and toxic content detection in multiple languages, suitable for real-time text analysis.
Amazon Rekognition
Why wrong: Rekognition is for image and video analysis, not text.
Amazon Translate
Why wrong: Translate is for translation, not content moderation.
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 perform real-time toxicity detection across multiple languages using its built-in content moderation and custom classification capabilities. It analyzes text streams to identify toxic comments (e.g., hate speech, threats) and integrates with AWS streaming services like Amazon Kinesis for real-time processing.
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 Lex
Why it's wrong here
Lex is for conversational interfaces, not content moderation.
Amazon Comprehend
Why this is correct
Amazon Comprehend provides built-in sentiment analysis and toxic content detection in multiple languages, suitable for real-time text analysis.
Clue confirmation
The clue word "best" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
Amazon Rekognition
Why it's wrong here
Rekognition is for image and video analysis, not text.
Amazon Translate
Why it's wrong here
Translate is for translation, not content moderation.
Common exam traps
The trap here is that candidates may confuse Amazon Comprehend's NLP capabilities with Amazon Lex's conversational AI or Amazon Translate's language translation, assuming any language-related service can detect toxicity, but only Comprehend provides the specific text analysis APIs for content moderation.
Detailed technical explanation
Amazon Comprehend uses a deep learning model trained on a large corpus of text to identify entities, sentiment, key phrases, and language-specific toxic content. For real-time streaming, you can use Amazon Comprehend's real-time analysis endpoints or integrate with Amazon Kinesis Data Streams and AWS Lambda to process each comment as it arrives. The service supports multiple languages (e.g., English, Spanish, French, German) and can be customized with custom classifiers for domain-specific toxic patterns.
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
Fundamentals of AI and ML — This question tests Fundamentals of AI and ML — 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 perform real-time toxicity detection across multiple languages using its built-in content moderation and custom classification capabilities. It analyzes text streams to identify toxic comments (e.g., hate speech, threats) and integrates with AWS streaming services like Amazon Kinesis for real-time processing.
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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