AWS Certified AI Practitioner Practice Exam

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Prepare for the AWS Certified AI Practitioner Exam with flashcards and multiple choice questions. Each question includes hints and explanations to help you succeed on your test. Get ready for certification!

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What is a key purpose of using Amazon Comprehend in text analysis?

Generate realistic text responses
Classify images from text
Detect sentiment in text
Store large datasets for training

The correct answer is: Detect sentiment in text

A key purpose of using Amazon Comprehend in text analysis is to detect sentiment in text. This service utilizes natural language processing (NLP) to analyze the emotions conveyed in written content. By assessing the language used, Amazon Comprehend can identify whether the sentiment expressed is positive, negative, neutral, or mixed. This capability allows businesses and researchers to gauge public perception, customer feedback, and market trends accurately, providing valuable insights for decision-making processes and strategies. The other options do not reflect the primary functionalities of Amazon Comprehend. While generating text responses is more aligned with services like Amazon Lex, image classification falls under the domain of Amazon Rekognition. Storing large datasets for training is more related to AWS services like Amazon S3 or Amazon Redshift, rather than the text analysis focus of Amazon Comprehend.