AI-900 · Question #102
You need to develop a chatbot for a website. The chatbot must answer users questions based on the information m the following documents: - A product troubleshooting guide m a Microsoft Word document…
The correct answer is D. QnA Maker. To develop a chatbot that answers questions from documents like Word files and webpages, you should use QnA Maker to process these documents into a knowledge base.
Question
Options
- ALanguage Undemanding
- BText Analytics
- CAzure Bot Service
- DQnA Maker
How the community answered
(54 responses)- A11% (6)
- B6% (3)
- C4% (2)
- D80% (43)
Why each option
To develop a chatbot that answers questions from documents like Word files and webpages, you should use QnA Maker to process these documents into a knowledge base.
Language Understanding (LUIS) is used to interpret user intents and entities from natural language, not to process documents into a Q&A knowledge base.
Text Analytics provides services like sentiment analysis, key phrase extraction, and entity recognition, but it does not create a structured knowledge base for question answering from documents.
Azure Bot Service is the platform for hosting, managing, and connecting the bot, but it does not directly process documents into a Q&A knowledge base; it integrates with services like QnA Maker for that functionality.
QnA Maker is specifically designed to create a knowledge base from semi-structured content, such as FAQs on webpages, product manuals, or troubleshooting guides in document formats like Microsoft Word, enabling a chatbot to answer user questions based on this information.
Concept tested: QnA Maker for knowledge base creation
Source: https://learn.microsoft.com/en-us/azure/ai-services/language-service/question-answering/overview
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