CLF-C02 Question 248
Select 1Your company wants to build an intelligent chatbot to handle customer inquiries and also implement a document search feature to help employees quickly find information across company manuals. Which combination of AWS services should you recommend?
- A
Amazon Lex for building the chatbot and Amazon Kendra for document search
- B
Amazon SageMaker for building the chatbot and Amazon Kendra for document search
- C
Amazon Lex for building the chatbot and Amazon SageMaker for document search
- D
Amazon Polly for building the chatbot and Amazon Kendra for document search
- E
Amazon Rekognition for building the chatbot and Amazon Kendra for document search
Show answer and explanation
Correct answer: A
Explanation
Amazon Lex is an AWS service designed for building conversational chatbots, while Amazon Kendra provides intelligent search capabilities for documents. Together, they address the requirements of the scenario: handling customer inquiries via a chatbot and providing a document search feature for employees.
- A. Correct.
Correct: Amazon Lex is specifically designed for creating conversational interfaces (chatbots), and Amazon Kendra is used for implementing intelligent search across documents.
- B. Incorrect.
Incorrect: Amazon SageMaker is a machine learning service for custom model building and training, not typically used for chatbots or document search out-of-the-box.
- C. Incorrect.
Incorrect: Amazon SageMaker is not a chatbot service, and it is not suitable for document search tasks. Amazon Kendra is the appropriate service for document search.
- D. Incorrect.
Incorrect: Amazon Polly converts text into lifelike speech, but it is not designed for building chatbots or document search.
- E. Incorrect.
Incorrect: Amazon Rekognition is used for image and video analysis, not for building chatbots or document search.