AWS Certified Cloud Practitioner
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A company wants to process thousands of customer emails to extract key phrases, detect sentiment, and identify entities such as names and dates. Which AWS service is best suited for this task?
Real Exam
Community
RRitesh
A
Amazon Kendra
B
Amazon Comprehend
C
Amazon Lex
D
Amazon Rekognition
Explanation:
Explanation:
Amazon Comprehend is the correct choice because it is AWS's natural language processing (NLP) service specifically designed for text analysis. Here's why:
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Key phrase extraction: Amazon Comprehend can automatically identify and extract key phrases from text documents.
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Sentiment detection: It can analyze text to determine whether the sentiment is positive, negative, neutral, or mixed.
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Entity recognition: Amazon Comprehend can identify entities such as names, dates, locations, organizations, and more from unstructured text.
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Scalability: It can process thousands of emails efficiently as it's a managed service that scales automatically.
Why not the other options:
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Amazon Kendra: This is an intelligent search service that helps find information across multiple data sources, not specifically for text analysis tasks like sentiment detection.
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Amazon Lex: This is a service for building conversational interfaces (chatbots) using voice and text, not for analyzing text content.
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Amazon Rekognition: This is a computer vision service for image and video analysis, not text analysis.
Amazon Comprehend is specifically designed for natural language processing tasks including the exact requirements mentioned: extracting key phrases, detecting sentiment, and identifying entities from text documents like customer emails.
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