Exam Databricks-Generative-AI-Engineer-Associate Topic 3 Question 42 Discussion
Actual exam question for Databricks's Databricks-Generative-AI-Engineer-Associate exam
Question #: 42
Topic #: 3
Question #: 42
Topic #: 3
A Generative AI Engineer is building an interactive catalog for a company's inventory system that allows users to search for any item using a plain-text description. There are currently about 17,000 items, and new items are not frequently added. They need a solution that will be the most cost-effective and easy for the company to maintain.
Which solution should the engineer choose?
Which solution should the engineer choose?
Suggested Answer: D Vote an answer
Option D best matches the small catalog, infrequent updates, and maintenance requirements. Databricks- managed embeddings remove the need to build and maintain a separate embedding-generation pipeline. A Delta Sync index connects the searchable content to its source Delta table. Triggered synchronization updates the index when explicitly invoked, making it suitable when inventory changes are occasional. Continuous synchronization maintains a running streaming pipeline and therefore introduces additional synchronization costs that this scenario does not justify. Self-managed embeddings add engineering responsibilities without a stated benefit. Storage-optimized endpoints primarily address much larger vector collections. Triggered synchronization reduces synchronization overhead; it does not eliminate the separate costs of serving the vector index or computing embeddings. Databricks documentation
by Salome at Sep 13, 2026, 10:15 PM
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