Learn how to develop a chatbot for a website that can answer user questions based on the information in a product troubleshooting guide and a frequently asked questions (FAQ) list. Find out which Azure service is best for processing the documents and creating a knowledge base for the chatbot.
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
- A frequently asked questions (FAQ) list on a webpage
Which service should you use to process the documents?
A. Language Undemanding
B. Text Analytics
C. Azure Bot Service
D. QnA Maker
D. QnA Maker
The correct answer is D. QnA Maker. QnA Maker is a service that allows you to create a knowledge base from various sources, such as documents, webpages, or manuals, and generate a chatbot that can answer users’ questions based on the information in the knowledge base. QnA Maker can process Microsoft Word documents and webpages, and extract the relevant questions and answers from them. You can also customize the chatbot’s personality, language, and responses using QnA Maker.
Language Understanding, Text Analytics, and Azure Bot Service are not suitable for processing the documents. Language Understanding is a service that allows you to create natural language models that can understand users’ intents and entities from their utterances. Text Analytics is a service that provides various natural language processing (NLP) capabilities, such as sentiment analysis, key phrase extraction, or named entity recognition. Azure Bot Service is a platform that enables you to build, test, deploy, and manage chatbots using various frameworks and channels. These services can be used to enhance the chatbot’s functionality, but they cannot process the documents and create a knowledge base from them.
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