CLF-C02 Question 247
Single answerA company wants to build a virtual customer support agent that can interact with users via voice and text, understanding natural language. Which AWS service should they use to accomplish this task?
- A
Amazon SageMaker
- B
Amazon Lex
- C
Amazon Kendra
- D
Amazon Rekognition
Show answer and explanation
Correct answer: B
Explanation
Amazon Lex is the best choice for building virtual customer support agents that interact with users via natural language processing. It provides tools for creating conversational interfaces using voice and text, making it suitable for this task. Other services like SageMaker, Kendra, and Rekognition do not specialize in this use case.
- A. Incorrect.
Amazon SageMaker is primarily used for building, training, and deploying machine learning models. It does not provide tools for creating conversational interfaces or natural language understanding.
- B. Correct.
Amazon Lex is designed for building conversational interfaces using voice and text. It leverages automatic speech recognition (ASR) and natural language understanding (NLU) to create virtual agents and chatbots.
- C. Incorrect.
Amazon Kendra is an intelligent search service used to retrieve information from unstructured or structured data. It is not meant for building conversational agents.
- D. Incorrect.
Amazon Rekognition is used for image and video analysis, such as facial recognition and object detection. It is unrelated to conversational interfaces.