Struggling with irrelevant chatbot replies in Azure AI-102 projects? Learn how integrating Azure’s chit-chat feature enhances HR chatbot user experience by handling casual queries effectively. Ace your AI-102 certification!
Table of Contents
Question
Your organization, Nutex Inc., is developing an internal chatbot for employees to streamline HR-related tasks such as checking leave balances, accessing policy documents, and submitting requests.
During testing, you notice that employees often engage in casual conversation with the chatbot, asking questions such as, “What’s the weather today?” or “Tell me something interesting.” Currently, the chatbot either fails to respond or provides irrelevant answers, affecting the user experience.
Which of the following is the most efficient way to enhance the chatbot’s ability to handle casual and conversational queries while maintaining its primary HR functions?
A. Create multi-turn conversations.
B. Enable active learning.
C. Manually update the knowledge base.
D. Integrate Azure’s chit-chat feature.
Answer
D. Integrate Azure’s chit-chat feature.
Explanation
Integrating Azure’s chit-chat feature is the most efficient way to enhance the chatbot’s ability to handle casual and conversational queries while maintaining its primary HR functions. The chit-chat feature provides a prebuilt set of conversational responses to handle casual and non-business-related queries. By integrating this feature, the chatbot can effectively respond to questions such as “How are you?” or “Tell me a joke,” enhancing user engagement and satisfaction without the need for manual updates. The chit-chat dataset has around 100 scenarios, having the voice in multiple personas such as professional, friendly, witty, caring, and enthusiastic.
You would not enable active learning in the given scenario. Active learning is a feature in Azure Question Answering that helps improve the knowledge base by suggesting alternate questions based on user queries. While it can enhance the chatbot’s accuracy over time, it is not specifically designed to handle casual, conversational queries such as small talk or general chit-chat.
You would not create multi-turn conversations in the given scenario. Multi-turn conversations allow a chatbot to maintain context across multiple user interactions, providing follow-up questions or responses based on the conversation flow. They are beneficial for structured dialogues but do not handle casual, small-talk queries.
You would not manually update the knowledge base in the given scenario. Manually updating the knowledge base involves adding new question-and-answer pairs for user queries. Although this method could address the issue, it is time-consuming and lacks the breadth of responses provided by the prebuilt chit-chat feature. Manual updates are inefficient compared to integrating the chit-chat feature.
Microsoft Azure AI Engineer Associate AI-102 certification exam practice question and answer (Q&A) dump with detail explanation and reference available free, helpful to pass the Microsoft Azure AI Engineer Associate AI-102 exam and earn Microsoft Azure AI Engineer Associate AI-102 certification.