Free Databricks-Generative-AI-Engineer-Associate Actual Exam Questions - Question 15 Discussion
topic within 10 days of the date specified An example query might be "Tell me about monster truck
news around January 5th 1992". They want to do this with the least amount of effort.
How can they set up their Vector Search index to support this use case?
I think option A might also make sense here, since splitting articles into 10-day blocks could simplify the search by limiting the scope without complex metadata filters. It avoids any potential limitations on range filtering within Databricks vector search itself. But on the downside, it might be less flexible if someone wants a different date range or overlapping periods. Anyone confirmed if Databricks supports dynamic date range filters inside vector search queries? That detail could really tip the scale between A and B.
I agree with B since metadata filtering handles the date range well, unlike pure vector search. B
Makes sense to use metadata filtering here since dates are exact and vector search focuses on text similarity, not time. B looks like the simplest and most precise choice. B
It’s B because metadata filtering is straightforward and efficient for date constraints.
B/C? Not sure if filtering by metadata alone is enough or if direct vector search handles dates well here. Anyone knows how Databricks vector search deals with date ranges?