DATABRICKS-CEA Question 32

Community Discussion

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• Chose A0

  - Correct answer : A — Pre-inference retrieval using an AI Search embedding index built from the Delta table holding the manual content A . Correct. The corpus is large, unstructured, and changes infrequently, so pre-computing embeddings once and querying the resulting AI Search index at inference time gives fast semantic matches without repeating expensive indexing work per query. B . Incorrect. Issuing a fresh SQL query per request suits structured, frequently changing data, not semantic search over free-form text; it also cannot perform similarity matching the way an embedding index can. C . Incorrect. Recomputing embeddings for the entire corpus on every inference call wastes compute and adds latency that a static quarterly-updated index avoids entirely. D . Incorrect. Genie spaces are designed for structured tabular question answering via generated SQL, not semantic retrieval over long-form unstructured manual text.