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Question

A Generative AI Engineer I is using the following code to test setting up a vector store:

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Assuming they plan to use Databricks-managed embeddings with the default embedding model, which logical function call should come next?

A vsc.get_index()
B vsc.create_delta_sync_index()
C vsc.create_direct_access_index()
D vsc.similarity_search()

Explanation

A Delta Sync index is the index type that synchronizes data from a Delta table and can have Databricks compute embeddings from a text source column. Databricks selects a managed embedding model by default when embeddings are computed, so create_delta_sync_index() is the appropriate call after the Vector Search endpoint has been created.

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Create AI Search endpoints and indexes

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Notes

Readiness

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