Oracle AI Database Foundations Associate: 1z0-1195-26 Exam

"Oracle AI Database Foundations Associate", also known as 1z0-1195-26 exam, is a Oracle Certification. With the complete collection of questions and answers, UpdateDumps has assembled to take you through 54 Q&As to your 1z0-1195-26 Exam preparation. In the 1z0-1195-26 exam resources, you will cover every field and category in Oracle Cloud Infrastructure Certification helping to ready you for your successful Oracle Certification.

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  • Updated on: Sep 11, 2026
  • No. of Questions: 54 Questions & Answers

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  • Updated on: Sep 11, 2026
  • No. of Questions: 54 Questions & Answers

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Oracle 1z0-1195-26 Exam Syllabus Topics:

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

Oracle AI Database Foundations Associate Sample Questions:

Question 1

A manufacturer needs graph analysis that reflects inserts and updates from operational tables immediately.
How does a Property Graph View support this requirement?

A. It converts source tables into JSON collections before graph queries can run
B. It provides graph visualization while requiring a separate platform for graph query execution
C. It stores a separate graph copy that is refreshed only during scheduled batch jobs
D. It uses metadata definitions so graph queries read current data from referenced objects


Question 2

A development team wants to receive patches before the regular maintenance schedule so they can validate changes early.
Which maintenance option should they select?

A. Late maintenance
B. Early maintenance
C. Application-controlled maintenance
D. Regular maintenance


Question 3

Why do developers often use JSON in applications?

A. It can store only numeric values and arrays.
B. It requires a fixed schema before any data can be stored.
C. It maps well to application objects and supports nested structures.
D. It replaces the need for APIs and CRUD operations.


Question 4

A vector index will not fit entirely in memory. Which index organization option should be considered for use?

A. EXACT SEARCH ONLY
B. NEIGHBOR PARTITIONS
C. TARGET ACCURACY
D. INMEMORY NEIGHBOR GRAPH


Question 5

A project team wants a built-in workspace to analyze data assets and support sharing or collaboration after preparation work is complete.
Which choice fits that requirement?

A. Private Endpoint configuration for network access
B. SQL Worksheet for individual query execution
C. Data Studio
D. Database Users for account administration


Solutions:

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

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