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Oracle 1z0-1195-26 Exam Syllabus Topics:

Oracle AI Database Foundations Associate Sample Questions:

Question #1
Which set is included in the Oracle AI Database 26ai converged approach?

A. Relational, JSON, vector, object-only files, and separate document stores
B. JSON, document APIs, storage buckets, monitoring, and billing
C. Relational, XML, spatial, external-only graph stores, and separate vector databases
D. Relational, JSON, vector, graph, and spatial

Question #2
A recruiting application must find the top job postings that semantically match a candidate's resume, but only in the candidate's city. How should the application meet this requirement?

A. Replace job descriptions with graph edge labels only
B. Use Early maintenance so results are ranked sooner
C. Use one SQL query that combines relational filters with vector distance ordering
D. Export all job postings to a separate vector platform and remove city filtering

Question #3
Modern applications often need to work with relational data, JSON documents, graph relationships, and vector embeddings. What challenge does using a different specialized database for each need create?

A. They can reduce administration because every platform shares one security model
B. They can create data silos that make integrated access and management harder
C. They can query all data types together with one built-in model automatically
D. They can avoid all data transformation and synchronization work

Question #4
A team needs faster similarity search at scale and accepts approximate top-K results. Which feature should they use?

A. A vector index with approximate search
B. A JSON duality view with update restrictions
C. A standard B-tree index optimized for exact match and range queries
D. A graph view with ONE ROW PER STEP

Question #5
In a RAG-style application, where does similarity search apply?

A. It creates the original source documents from the generated answer
B. It evaluates user authentication rules before retrieving context
C. It replaces the generation step by returning only raw vector values
D. It retrieves the most relevant stored content for the user's question

Solutions: