Exam 1z0-1195-26 Topic 1 Question 9 Discussion

Actual exam question for Oracle's 1z0-1195-26 exam
Question #: 9
Topic #: 1
A company wants a GenAI assistant that answers policy questions by grounding responses in its internal documents.
Which use of AI Vector Search best supports this design?

Suggested Answer: B Vote an answer

Comprehensive and Detailed 100 to 150 words of Explanation From Oracle AI Database topics:
Retrieval-Augmented Generation grounds an LLM by retrieving relevant enterprise content before generation.
Oracle Select AI with RAG uses AI Vector Search and semantic similarity to locate the top matching document chunks from a vector store, then supplies those retrieved texts together with the user's question to the LLM. This gives the model current, organization-specific context and reduces hallucination risk. Keyword- only retrieval can miss semantically related passages that use different wording, while graph edge identifiers are not a substitute for document content. Returning unfiltered database patches also does not provide targeted grounding. Therefore, the correct design is to retrieve semantically similar chunks and use them as context for generation. This matches Oracle's documented Select AI RAG workflow and the AI/vector foundations objectives. Oracle Docs

by Monroe at Sep 30, 2026, 04:28 PM

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