Quick Answer
Amazon Comprehend is the correct choice for this task because it is a natural language processing (NLP) service specifically designed to perform sentiment analysis and extract key phrases from text, making it ideal for identifying the most common words in positive and negative customer reviews. This service uses machine learning models to automatically determine the overall sentiment (positive, negative, neutral, or mixed) and surface the most frequently used terms, which directly addresses the data scientist’s need to understand word patterns in review data. On the AWS Certified Machine Learning Specialty MLS-C01 exam, this question tests your ability to match the correct AWS service to a text-based NLP use case, often appearing as a straightforward scenario where you must distinguish Comprehend from other services like Rekognition (image/video), Polly (text-to-speech), or Transcribe (speech-to-text). A common trap is confusing text analysis with audio or visual services, so remember the memory tip: “Comprehend reads text, Rekognition sees images, Polly speaks, Transcribe listens.”
This MLS-C01 practice question tests your understanding of exploratory data analysis. 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 data scientist is analyzing a dataset containing customer reviews. The data scientist wants to understand the most common words used in positive and negative reviews. Which AWS service is most suitable for this task?
Amazon Rekognition
Why wrong: Rekognition is for image and video analysis, not text.
Amazon Comprehend
Comprehend provides sentiment analysis and key phrase extraction.
Amazon Polly
Why wrong: Polly converts text to speech.
Amazon Transcribe
Why wrong: Transcribe converts audio to text.
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
Option B is correct because Amazon Comprehend can perform sentiment analysis and extract key phrases. Option A is wrong because Amazon Rekognition is for image/video analysis. Option C is wrong because Amazon Polly is a text-to-speech service. Option D is wrong because Amazon Transcribe is for speech-to-text.
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 Rekognition
Why it's wrong here
Rekognition is for image and video analysis, not text.
Amazon Comprehend
Why this is correct
Comprehend provides sentiment analysis and key phrase extraction.
Related concept
Read the scenario before looking for a memorised answer.
Amazon Polly
Why it's wrong here
Polly converts text to speech.
Amazon Transcribe
Why it's wrong here
Transcribe converts audio to text.
Common exam traps
Many certification questions include familiar terms but test a specific constraint. Read the exact wording before choosing an answer that is generally true but wrong for this case.
Detailed technical explanation
This question should be treated as a scenario, not a definition check. Identify the problem, the constraint and the best action. Then compare each option against those facts.
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 MLS-C01 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
Exploratory Data Analysis — study guide chapter
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FAQ
Exploratory Data Analysis — This question tests Exploratory Data Analysis — Read the scenario before looking for a memorised answer..
The correct answer is: Amazon Comprehend — Option B is correct because Amazon Comprehend can perform sentiment analysis and extract key phrases. Option A is wrong because Amazon Rekognition is for image/video analysis. Option C is wrong because Amazon Polly is a text-to-speech service. Option D is wrong because Amazon Transcribe is for speech-to-text.
Identify which MLS-C01 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
Read the scenario before looking for a memorised answer.
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Last reviewed: Jun 20, 2026
This MLS-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 MLS-C01 exam.
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