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Exam Certified Generative AI Engineer Associate All Questions

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Exam Certified Generative AI Engineer Associate topic 1 question 39 discussion

Actual exam question from Databricks's Certified Generative AI Engineer Associate
Question #: 39
Topic #: 1
[All Certified Generative AI Engineer Associate Questions]

A Generative AI Engineer is creating an LLM-powered application that will need access to up-to-date news articles and stock prices.
The design requires the use of stock prices which are stored in Delta tables and finding the latest relevant news articles by searching the internet.
How should the Generative AI Engineer architect their LLM system?

  • A. Use an LLM to summarize the latest news articles and lookup stock tickers from the summaries to find stock prices.
  • B. Query the Delta table for volatile stock prices and use an LLM to generate a search query to investigate potential causes of the stock volatility.
  • C. Download and store news articles and stock price information in a vector store. Use a RAG architecture to retrieve and generate at runtime.
  • D. Create an agent with tools for SQL querying of Delta tables and web searching, provide retrieved values to an LLM for generation of response.
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Suggested Answer: D 🗳️
by trendy01 at Oct. 26, 2024, 6:30 a.m.

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trendy01
4 weeks, 1 day ago
Selected Answer: D
If a RAG architecture is already constructed, it would be very effective to use agents within that architecture to improve the response quality of the LLM. The agent performs real-time SQL queries and web searches to easily gather up-to-date information, allowing LLM to generate more relevant responses. Therefore, in the context of this problem, option D is an appropriate approach to maximize the performance of LLM by utilizing additional agents while the RAG is already deployed.
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