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Oracle 1z0-1195-26 Exam Syllabus Topics:

Oracle AI Database Foundations Associate Sample Questions:

Question 1

A business wants one data platform where semantic similarity, relational consistency, and SQL-based filtering all work together.
Which statement aligns with this design goal?

A. SQL filtering is handled in a separate application step after vector search returns results.
B. Vector search requires data to be modeled as graph paths before SQL predicates are applied.
C. Semantic search is usually handled after relational filters are removed from the query flow.
D. A converged database can keep data consistent while combining vector search with SQL.

Question 2

How can developers create vectors for data objects in Oracle AI Database 26ai?

A. By loading the data into a separate vector service before querying it
B. By defining every vector as a JSON document manually
C. By converting all source objects into Property Graph Views first
D. By using a built-in vectorization function

Question 3

A data analyst wants to discover data, load it into the platform, and prepare it for later use without leaving the built-in tools. Which workspace fits this task?

A. Data Studio
B. Property Graph View definition
C. VECTOR_DISTANCE function only
D. OCI Vault

Question 4

How can developers access JSON Duality Views?

A. Through APEX-specific PL/SQL packages as the primary interface
B. Through exported JSON files loaded into a separate document store
C. Through graph visualization queries in place of document APIs
D. Through MongoDB-compatible APIs or SQL

Question 5

When comparing a query vector with stored vectors, what does a smaller vector distance indicate?

A. The items are more semantically similar
B. The query must switch from SQL to GraphQL
C. The stored vectors were created with different models
D. The items require a larger maintenance window

Solutions: