According to the Microsoft Azure AI Fundamentals (AI-900) Official Study Guide and the Microsoft Learn module "Explore conversational AI in Microsoft Azure," the QnA Maker (now integrated into the Azure AI Language Service as Custom Question Answering) is used to create, train, and publish a knowledge base of question-and-answer pairs that can power a chatbot.
There are three primary methods to create Q&A content:
* Generate questions and answers from an existing webpage (Option A):QnA Maker can automatically extract question-answer pairs from structured or semi-structured data sources like FAQs, product manuals, or support webpages.
* Manually enter questions and answers (Option C):Users can create Q&A pairs directly in the QnA Maker portal or Azure Language Studio, enabling custom answers to be crafted manually.
* Import chit-chat content from a predefined data source (Option E):QnA Maker provides predefined
"chit-chat" datasets that let a bot handle casual conversation (e.g., greetings or small talk) naturally.
The other options are incorrect:
* B. Use automated machine learning - AutoML is for predictive modeling, not knowledge extraction.
* D. Connect the bot to Cortana - This is a channel integration, not a method of content creation.