MLS-C01 Question 313
Single answerYou are a Machine Learning Engineer working for an e-commerce company. You want to implement a solution that allows your customers to ask natural language questions about product details, and your system should respond with accurate, contextually relevant answers in milliseconds. Which AWS service is best suited to achieve this?
- A
Amazon Lex
- B
Amazon Kendra
- C
Amazon Rekognition
- D
Amazon Comprehend
Show answer and explanation
Correct answer: B
Explanation
Amazon Kendra is specifically designed for intelligent search applications, allowing you to build solutions where users can ask natural language questions and receive precise answers by searching across your organization's knowledge base or document repository. The other services listed do not provide this capability.
- A. Incorrect.
Amazon Lex is used for building conversational interfaces like chatbots and voice bots, but it is not specifically designed for answering natural language questions based on a knowledge base or document repository.
- B. Correct.
Amazon Kendra is a highly accurate and intelligent search service powered by machine learning. It is designed for enterprise search use cases, making it the best choice for answering natural language questions based on a knowledge base or document repository.
- C. Incorrect.
Amazon Rekognition is a computer vision service for analyzing images and videos, which is not applicable for natural language processing or question answering.
- D. Incorrect.
Amazon Comprehend is used for natural language processing tasks like entity recognition, sentiment analysis, and topic modeling, but it does not provide the capability to answer natural language questions from a document repository.