Discover how to build a natural language query bot that can answer questions from a knowledge base using Azure services. Learn which two services are essential for creating a bot that can understand and respond to natural language queries.
Table of Contents
Question
You plan to develop a bot that will enable users to query a knowledge base by using natural language processing. Which two services should you include in the solution? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
A. QnA Maker
B. Azure Bot Service
C. Form Recognizer
D. Anomaly Detector
Answer
A. QnA Maker
B. Azure Bot Service
Explanation
The correct answer is A. QnA Maker and B. Azure Bot Service. Here is an explanation:
- QnA Maker is a cloud-based service that allows you to create a natural language processing layer over your existing data sources, such as FAQs, product manuals, or knowledge bases. QnA Maker can extract relevant questions and answers from your data, and provide a simple web interface to manage them. You can also use QnA Maker to integrate your knowledge base with other cognitive services, such as LUIS (Language Understanding Intelligent Service) or Speech.
- Azure Bot Service is a platform that enables you to build, connect, test, and deploy intelligent bots that can interact with your users on various channels, such as web, mobile, or social media. Azure Bot Service provides a rich set of tools and templates to help you create bots with different capabilities, such as natural language understanding, speech recognition, or sentiment analysis. You can also use Azure Bot Service to connect your bot with QnA Maker, and leverage the natural language processing layer that QnA Maker provides over your knowledge base.
Therefore, by using QnA Maker and Azure Bot Service together, you can develop a bot that will enable users to query a knowledge base by using natural language processing, and provide them with relevant and accurate answers.
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