AWS Certified Cloud Practitioner
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A support team wants to build an intelligent chatbot that can handle customer service conversations using voice or text. Which AWS service should they use?
Real Exam
Community
RRitesh
A
Amazon Lex
B
Amazon Kendra
C
Amazon Translate
D
Amazon OpenSearch
Explanation:
Explanation:
Amazon Lex is the correct AWS service for building intelligent chatbots that can handle both voice and text conversations. Here's why:
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Amazon Lex: This is AWS's service for building conversational interfaces using voice and text. It provides the deep learning functionalities of automatic speech recognition (ASR) for converting speech to text and natural language understanding (NLU) to recognize the intent of the text. It's specifically designed for creating chatbots and virtual assistants.
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Amazon Kendra: This is an intelligent search service powered by machine learning that helps organizations find information across their enterprise data. It's not designed for building conversational chatbots.
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Amazon Translate: This is a neural machine translation service that delivers fast, high-quality, and affordable language translation. It's for translating text between languages, not for building chatbots.
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Amazon OpenSearch: This is a fully managed, open-source search and analytics suite that makes it easy to deploy, secure, and operate OpenSearch at scale. It's for search and analytics, not for conversational interfaces.
Amazon Lex is the ideal choice because it provides the complete framework for building conversational bots that can understand natural language, process user requests, and respond appropriately through both voice and text channels.
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