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Oracle 1z0-1195-26

1z0-1195-26

Exam Code: 1z0-1195-26

Exam Name: Oracle AI Database Foundations Associate

Updated: Sep 08, 2026

Q & A: 54 Questions and Answers

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Oracle 1z0-1195-26 Exam Syllabus Topics:

SectionObjectives
Working with AI and Vector Foundations- Describe AI, AGI, and machine learning foundations
- Explain vectors, embeddings, and the Oracle VECTOR data type
- Apply vector distance and indexing concepts to similarity search needs
Using Oracle Database Actions and Data Studio Tools- Apply Data Studio capabilities to data discovery, integration, analysis, and sharing tasks
- Describe Database Actions and core development tools
Identifying Oracle AI Database 26ai Strategy and Autonomous AI Database Basics- Describe Autonomous AI Database characteristics, offerings, and deployment choices
- Explain modern data characteristics and the Oracle AI Database 26ai converged strategy
- Create an Autonomous AI Database Serverless instance for a basic workload
Working with JSON and Graph in Oracle AI Database- Explain JSON and Oracle AI Database JSON capabilities
- Describe core graph concepts and graph analytic capabilities
- Distinguish when graph capabilities and Property Graph Views fit a business use case
Implementing Select AI and AI Vector Search in Autonomous AI Database- Describe Select AI in Autonomous AI Database
- Determine how AI Vector Search supports GenAI pipelines and RAG
- Apply AI Vector Search to combined semantic and business-data search scenarios
Building Low-Code Applications and Agentic AI- Describe Oracle APEX as Oracle's low-code platform
- Choose the appropriate Agent Factory capability for a no-code AI agent use case

Oracle AI Database Foundations Associate Sample Questions:

Question 1

What is OSON in Oracle AI Database JSON support?

A. A maintenance schedule for JSON collections
B. An optimized binary format for JSON storage
C. A visualization tool for graph queries
D. A SQL worksheet page in Database Actions


Question 2

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

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


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


Question 4

Which task is a common use of graph analytics?

A. Storing each relationship as an isolated text value with no links
B. Sorting records only by a single numeric column value
C. Listing unrelated records without evaluating relationships
D. Determining communities or connected clusters in a network


Question 5

Which pair correctly matches an AI domain to an example?

A. Forecasting - entity extraction from text
B. Speech - product demand prediction
C. Vision - image classification
D. Language - object detection in photos


Solutions:

Question 1
Answer: B
Question 2
Answer: D
Question 3
Answer: C
Question 4
Answer: D
Question 5
Answer: C

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