CLF-C02 Question 243
Select 3A company wants to create a virtual assistant that can understand natural language, provide text-to-speech responses, and analyze user sentiment in their interactions. Which combination of AWS services would BEST meet these requirements?
- A
Amazon Lex
- B
Amazon Polly
- C
Amazon Rekognition
- D
Amazon Comprehend
- E
AWS Glue
Show answer and explanation
Correct answers: A, B, D
Explanation
To build a virtual assistant capable of understanding natural language, providing text-to-speech responses, and analyzing user sentiment, a combination of Amazon Lex, Amazon Polly, and Amazon Comprehend is ideal. Amazon Lex enables natural language understanding, Amazon Polly provides text-to-speech functionality, and Amazon Comprehend analyzes sentiment in user interactions. Other services like Amazon Rekognition and AWS Glue are not suitable for this use case as they serve different purposes.
- A. Correct.
Amazon Lex is a service used to build conversational interfaces, such as chatbots or virtual assistants, making it suitable for understanding natural language.
- B. Correct.
Amazon Polly converts text into lifelike speech, which is essential for providing text-to-speech responses in a virtual assistant.
- C. Incorrect.
Amazon Rekognition is primarily used for image and video analysis and is not relevant for natural language processing or virtual assistant functionality.
- D. Correct.
Amazon Comprehend is a natural language processing service that can analyze user sentiment, making it a good fit for the sentiment analysis requirement.
- E. Incorrect.
AWS Glue is a data integration service used for preparing and transforming data, not for AI/ML or virtual assistant capabilities.