Exam Certified Generative AI Engineer Associate topic 1 question 21 discussion

Actual exam question from Databricks's Certified Generative AI Engineer Associate

Question #: 21
Topic #: 1

[All Certified Generative AI Engineer Associate Questions]

A Generative AI Engineer has been asked to design an LLM-based application that accomplishes the following business objective: answer employee HR questions using HR PDF documentation.
Which set of high level tasks should the Generative AI Engineer's system perform?

A. Calculate averaged embeddings for each HR document, compare embeddings to user query to find the best document. Pass the best document with the user query into an LLM with a large context window to generate a response to the employee.
B. Use an LLM to summarize HR documentation. Provide summaries of documentation and user query into an LLM with a large context window to generate a response to the user.
C. Create an interaction matrix of historical employee questions and HR documentation. Use ALS to factorize the matrix and create embeddings. Calculate the embeddings of new queries and use them to find the best HR documentation. Use an LLM to generate a response to the employee question based upon the documentation retrieved.
D. Split HR documentation into chunks and embed into a vector store. Use the employee question to retrieve best matched chunks of documentation, and use the LLM to generate a response to the employee based upon the documentation retrieved.

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Suggested Answer: D 🗳️

by cecomavu at April 5, 2025, 11:19 a.m.

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6da92db

1 month ago

Selected Answer: D

D is the simplest high level architecture for this use-case. However, C is likely great option for improving the model once the there are vetted body of historical Q&As.

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