Comprehensive Detailed Explanation
You are working with a custom question answering project in Azure AI Language (formerly QnA Maker).
The requirement is to enable the chatbot to engage in multi-turn conversations.
Multi-turn conversation: This occurs when a bot needs to ask clarifying questions or present follow-up options to guide the user toward the right answer.
Now let's evaluate the options:
A). Add alternate questions
Alternate questions help improve query matching by allowing different phrasings of the same question.
This does not enable multi-turn dialogue.
B). Enable chit-chat
Chit-chat adds conversational personality (e.g., greetings, small talk).
Useful for user engagement but not for structured multi-turn dialogues.
C). Add follow-up prompts #
Follow-up prompts allow you to define next-step questions after an answer.
They are the key mechanism in custom question answering to enable multi-turn conversation flows.
Example: If the answer is about " subscriptions, " the follow-up prompts might include " How to upgrade? " or " How to cancel? "
D). Enable active learning
Active learning helps improve accuracy by suggesting alternative phrasing for questions based on user feedback.
This is for model refinement, not multi-turn conversation.
Thus, the correct way to configure the project for multi-turn conversations is to add follow-up prompts.
The answer: C. Add follow-up prompts
Microsoft References
Custom question answering in Azure AI Language - Multi-turn conversations Custom question answering overview