Free Databricks-Generative-AI-Engineer-Associate Actual Exam Questions - Question 1 Discussion

Question No. 1
A Generative Al Engineer is developing a RAG system for their company to perform internal
document Q&A for structured HR policies, but the answers returned are frequently incomplete and
unstructured It seems that the retriever is not returning all relevant context The Generative Al
Engineer has experimented with different embedding and response generating LLMs but that did not
improve results.
Which TWO options could be used to improve the response quality?
Choose 2 answers
Select all that apply, then reveal solution.
US
DY
Daniel Y.
2026-02-19

A imo, headers clarify context; B helps avoid missing info with bigger chunks.

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DY
Daniel Y.
2026-02-17

Maybe A and D. Adding section headers helps the retriever find relevant parts easier, and a larger embedding model could capture more detailed context that smaller ones miss. B might risk too big chunks confusing the retriever.

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AT
Adeel T.
2026-02-14

It’s A and B for me. Adding section headers helps the retriever know exactly where it is, and bigger chunks mean less chance of cutting off important info mid-section. Splitting by sentence (C) might break context too much.

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BO
Brian O.
2026-01-27

A and B—headers give context and bigger chunks keep related info together better.

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UI
Usman I.
2026-01-24

Adding section headers (A) could definitely help the retriever identify relevant parts faster. Also, splitting by sentence (C) might prevent missing details hidden in larger chunks. So A and C.

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DD
David D.
2026-01-21

Maybe A and C here. Adding section headers (A) can guide the system to group related content and keep answers structured. Splitting by sentence (C) could make retrieval more precise by isolating exact pieces of info instead of lumping too much together, which might be why answers are incomplete. Bigger chunks (B) could dilute relevant details if the system grabs irrelevant bits, so that might not help as much. Using a larger embedding model (D) or fine-tuning (E) seems less related since the problem looks more about how the text is chunked and labeled, not the model power itself.

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DD
David D.
2026-01-20

A/B? Adding headers (A) definitely helps with clarity, but bigger chunks (B) might capture more context that’s currently missed. Splitting by sentence feels too granular and could scatter relevant info.

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PM
Paul M.
2026-01-19

Option A makes sense to keep the context clear and structured. Also, Option C could help by breaking down the text into more manageable, precise pieces instead of just increasing chunk size blindly.

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PM
Paul M.
2026-01-18

It’s A, adding section headers helps keep answers focused and complete.

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PM
Paul M.
2026-01-16

A imo, adding section headers helps keep context clear. B also makes sense to capture more info in each chunk.

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