Which AWS services determine customer sentiment from written reviews?

An ecommerce company wants to build a solution to determine customer sentiments based on written customer reviews of products. Which AWS services meet these requirements? (Choose two.)

  1. Amazon Lex
  2. Amazon Comprehend Source Reference Answer
  3. Amazon Polly
  4. Amazon Bedrock Source Reference Answer
  5. Amazon Rekognition

Community Votes

BD
100%

100% of anonymous learners picked answer BD. Votes are pick records left by other test-takers — they are not the verified answer.

Community Insight

This question tests your ability to distinguish between AWS AI services that process text for sentiment analysis versus those designed for speech, vision, or conversational interfaces.

Amazon Comprehend and Amazon Bedrock are the correct AWS services for analyzing customer sentiment from written product reviews. Comprehend offers out-of-the-box NLP sentiment analysis, while Bedrock provides access to foundation models for generative and analytical text tasks.

Candidates often choose Amazon Rekognition, confusing text-based sentiment analysis with image or video analysis, or they pick Amazon Lex, mistaking it for a text analytics tool rather than a chatbot service.

Community Discussion (5 comments)

Jessiii 👍 2 Selected: BD
B. Amazon Comprehend: Amazon Comprehend is a fully managed natural language processing (NLP) service that can analyze text and extract insights, including sentiment analysis. This makes it ideal for determining customer sentiment based on written reviews. D. Amazon Bedrock: Amazon Bedrock provides access to foundation models (FMs) for various tasks, including sentiment analysis, through generative AI. It can be used to analyze customer reviews and understand sentiment.
85b5b55 👍 1 Selected: BD
Amazon Comprehend (insight of the customer reviews) and Amazon Bedrock helps for sentiment analysis.
eesa 👍 1 Selected: BD
B. Amazon Comprehend: Amazon Comprehend is a fully managed natural language processing (NLP) service that can analyze text and determine sentiment, entities, key phrases, and language. For customer sentiment analysis based on written reviews, Amazon Comprehend provides built-in sentiment analysis that can classify text as positive, negative, or neutral. D. Amazon Bedrock: Amazon Bedrock is a service that provides access to various foundation models (FMs), which can be used to build and deploy AI-driven applications. For advanced natural language processing tasks like sentiment analysis, foundation models can be fine-tuned and applied to specific use cases, such as understanding customer sentiment in reviews. This is a more customizable and advanced option compared to pre-built solutions like Amazon Comprehend.
taka5094 👍 2 Selected: BD
Amazon Comprehend is a natural language processing (NLP) service that uses machine learning to uncover insights and relationships in text. It offers sentiment analysis capabilities out-of-the-box, which can directly determine the sentiment (positive, negative, neutral, or mixed) expressed in customer reviews. Amazon Bedrock is a fully managed service that makes foundation models accessible with simple API calls. It allows you to build generative AI applications for various use cases, including sentiment analysis. By providing customer reviews as input prompts, you can use Bedrock to generate sentiment labels or scores.
PHD_CHENG 👍 2
Why not B,E?

Comments & Corrections

No comments yet — spotted an error or have a note? Share it below.

Log in to comment, report an error, or add a note about this question.

Submitted for moderation before publishing. Keep it helpful and respectful.

Expert Analysis

Understanding the Correct Answers

Amazon Comprehend (Option B) is a fully managed Natural Language Processing (NLP) service that provides built-in sentiment analysis. It can classify text as positive, negative, neutral, or mixed, making it a direct and ideal choice for analyzing written customer reviews. It also extracts key phrases, entities, and language detection.

Amazon Bedrock (Option D) is a fully managed service that provides access to high-performing foundation models (FMs) from leading AI companies. These models can be used for a wide variety of text-based tasks, including sentiment analysis, summarization, and content generation. Using Bedrock, the ecommerce company could prompt a foundation model to analyze and interpret customer sentiments from reviews with high accuracy and nuance.

Why the Other Options Are Incorrect

  • Amazon Lex (Option A) is a service for building conversational interfaces (chatbots and voice assistants) using automatic speech recognition (ASR) and natural language understanding (NLU). It is not designed for batch sentiment analysis of reviews.
  • Amazon Polly (Option C) is a text-to-speech service that converts written text into lifelike spoken audio. It does not analyze or interpret text content.
  • Amazon Rekognition (Option E) is a computer vision service that analyzes images and videos for objects, faces, text, and scenes. It does not process written text reviews for sentiment.

Community Consensus

The community overwhelmingly agrees on B and D (100% consensus). Multiple users correctly identified Comprehend as the go-to NLP sentiment tool and Bedrock as the generative AI alternative for text analysis tasks.

Official Reference

Exam Strategy

When a question asks about analyzing written text for insights like sentiment, immediately look for NLP or generative AI services such as Comprehend, Bedrock, or SageMaker. Eliminate options that deal with speech (Polly, Lex) or images/video (Rekognition) to quickly narrow down your choices.

Related Analysis

A company manually reviews all submitted resumes in PDF form

A-Grade

A company is developing a mobile ML app that uses a phone's

A-Grade

A company wants to use large language models (LLMs) with Ama

A-Grade

Practice All AIF-C01 Questions

Access 100 questions with complete answers and detailed explanations.

View Full AIF-C01 Practice Test →

← Back to AIF-C01 Study Guide