Free Databricks-Generative-AI-Engineer-Associate Actual Exam Questions - Question 13 Discussion
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?
D. This lets the LLM directly access both the Delta tables and live web data, which fits the need for up-to-date info better than pre-stored vectors or summaries.
It’s C because storing both stocks and news in a vector store allows fast retrieval with up-to-date info, and RAG handles combining external data nicely without needing live tool calls.
B/D? B keeps stock data accurate via direct Delta queries and limits the LLM to search query generation, which feels safer if tool use isn’t guaranteed. D is slick if real-time tool integration is supported though.
B feels cleaner since it uses the Delta table directly for stock data, avoiding stale info, and only lets the LLM handle generating search queries, which is less error-prone than relying on full web scraping or storing everything locally.
Option B makes sense too because it separates data retrieval and analysis cleanly, using direct Delta queries for stock data and letting the LLM handle generating search queries, avoiding overloading the LLM with real-time tasks.
Maybe D, feels more dynamic with live queries and web searches.