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Question 468 - CLF-C02 discussion

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A company needs to search for text in documents that are stored in Amazon S3.

Which AWS service will meet these requirements?

A.
Amazon Kendra
Answers
A.
Amazon Kendra
B.
Amazon Rekognition
Answers
B.
Amazon Rekognition
C.
Amazon Polly
Answers
C.
Amazon Polly
D.
Amazon Lex
Answers
D.
Amazon Lex
Suggested answer: A

Explanation:

Amazon Kendra is a highly accurate and easy to use intelligent search service powered by machine learning. It enables users to easily find the content they are looking for, even when it is scattered across multiple locations and content repositories within their organization.Amazon Kendra supports natural language queries, and can search for text in documents stored in Amazon S3, as well as other sources such as SharePoint, OneDrive, Salesforce, ServiceNow, and more1.

Amazon Rekognition is a computer vision service that makes it easy to add image and video analysis to applications. It can detect objects, faces, text, scenes, activities, and emotions in images and videos.However, it is not designed for searching for text in documents stored in Amazon S32.

Amazon Polly is a text-to-speech service that turns text into lifelike speech. It can create audio versions of books, articles, podcasts, and more.However, it is not designed for searching for text in documents stored in Amazon S33.

Amazon Lex is a service for building conversational interfaces using voice and text. It can create chatbots that can interact with users using natural language.However, it is not designed for searching for text in documents stored in Amazon S34.

Amazon Kendra -- Intelligent Search Service Powered by Machine Learning

Amazon Rekognition -- Video and Image - AWS

Amazon Polly -- Text-to-Speech Service - AWS

Amazon Lex -- Build Conversation Bots - AWS

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asked 16/09/2024
Alex Pilallis
43 questions
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