DATABRICKS-CEA Question 38

Community Discussion

Written by other learners. Comments can disagree with the marked answer — check the official documentation when in doubt.

• Chose A0

  - Correct answer : A — Add Databricks reranker to reorder retrieved chunks, moving the correct one up, before prompting LLM. A . Correct. The Databricks reranker re-scores the top retrieved chunks based on relevance, specifically moving the correct passage from a lower rank (6th-10th) to the top, directly addressing the ranking issue. This operation adds only a few hundred milliseconds of latency, fitting well within the 250ms-1s budget. B . Incorrect. Switching to Direct Vector Access ensures the index reflects the latest data but does not alter the ranking of already retrieved chunks. The problem is not stale data but low relevance ranking among top results, so this change would not directly fix the issue. C . Incorrect. Increasing chunk overlap may preserve more context but can also introduce noise and does not reorder the retrieved chunks to prioritize the most relevant one. It is an indirect and less targeted approach compared to reranking. D . Incorrect. Fine-tuning an embedding model is a lengthy process that might improve future retrieval quality, but it does not immediately re-rank the current top-10 chunks to surface the correct one. It also cannot guarantee that the correct chunk will move above similar but less relevant neighbors within the allowed latency.