Databricks Certified Generative AI Engineer Associate — Question 54
A Generative AI Engineer is working with a retail company that wants to enhance its customer experience by automatically handling common customer inquiries. They are working on an LLM-powered AI solution that should improve response times while maintaining a personalized interaction. They want to define the appropriate input and LLM task to do this.
Which input/output pair will do this?
Answer options
- A. Input: Customer service chat logs; Output: Group the chat logs by users, followed by summarizing each user’s interactions, then respond
- B. Input: Customer service chat logs; Output: Find the answers to similar questions and respond with a summary
- C. Input: Customer reviews; Output: Classify review sentiment
- D. Input: Customer reviews; Output: Group the reviews by users and aggregate per-user average rating, then respond
Correct answer: A
Explanation
Option A is correct because it focuses on organizing and summarizing customer interactions, which directly improves response times while maintaining personalization. The other options either do not enhance response times effectively (B) or focus on sentiment analysis (C) and rating aggregation (D), which are not aligned with improving immediate customer interaction.