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CLF-C02 practice question: AI, machine learning and analytics (2 of 3)

Cloud Technology and Services A free question from our original CLF-C02 practice exam. Try it, then open the answer to see why each option is right or wrong.

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A retailer receives thousands of written product reviews each day.

It wants software to label each review as positive, negative, neutral or mixed, without training its own machine-learning model.

Which service should it use?

Choose one answer.

  1. A. Amazon Polly, which converts text into lifelike speech
  2. B. Amazon Textract, which extracts text from scanned documents and forms
  3. C. Amazon SageMaker AI, which builds and trains custom machine-learning models
  4. D. Amazon Comprehend, which detects sentiment in text
Show the answer and explanation

Answer: D

  • A. Wrong: Polly creates spoken audio from text. It does not judge whether a written review is positive or negative.
  • B. Wrong: Textract reads text from scanned documents and forms. The reviews are already text, so Textract does not judge their sentiment.
  • C. Wrong: SageMaker AI is for building and training your own models. The retailer does not want to train a model, so this adds work it does not need.
  • D. Right: Comprehend is a managed natural language service that returns positive, negative, neutral or mixed sentiment for each text, with no model for the retailer to build. Learn more: Sentiment analysis in Amazon Comprehend (opens in a new tab)

Explanation

Amazon Comprehend returns sentiment as positive, negative, neutral or mixed, using a managed model. Polly and Textract do other jobs, and SageMaker AI would require the retailer to build and train its own model.

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