- Exam Code: 1z0-1195-26
- Exam Name: Oracle AI Database Foundations Associate
- Certification Provider: Oracle
- Corresponding Certification:Oracle Cloud Infrastructure
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Instant Download Oracle : 1z0-1195-26 Questions & Answers as PDF & Test Engine
- Exam Code: 1z0-1195-26
- Exam Name: Oracle AI Database Foundations Associate
- Updated: Sep 09, 2026
- No. of Questions: 54 Questions and Answers
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Oracle 1z0-1195-26 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Implementing Select AI and AI Vector Search in Autonomous AI Database | 20% | - 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 |
| Working with AI and Vector Foundations | 15% | - Apply vector distance and indexing concepts to similarity search needs - Explain vectors, embeddings, and the Oracle VECTOR data type - Describe AI, AGI, and machine learning foundations |
| Using Oracle Database Actions and Data Studio Tools | 15% | - 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 | 20% | - Describe core graph concepts and graph analytic capabilities - Explain JSON and Oracle AI Database JSON capabilities - Distinguish when graph capabilities and Property Graph Views fit a business use case |
| Building Low-Code Applications and Agentic AI | 10% | - Describe Oracle APEX as Oracle's low-code platform - Choose the appropriate Agent Factory capability for a no-code AI agent use case |
| Identifying Oracle AI Database 26ai Strategy and Autonomous AI Database Basics | 20% | - Explain modern data characteristics and the Oracle AI Database 26ai converged strategy - Describe Autonomous AI Database characteristics, offerings, and deployment choices - Create an Autonomous AI Database Serverless instance for a basic workload |
Oracle AI Database Foundations Associate Sample Questions:
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 query all data types together with one built-in model automatically
- B. They can create data silos that make integrated access and management harder
- C. They can reduce administration because every platform shares one security model
- D. They can avoid all data transformation and synchronization work
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In a property graph, what are vertices and edges?
- A. Vertices represent entities, and edges represent relationships between them
- B. Vertices are JSON collections, and edges are maintenance policies
- C. Vertices are storage partitions, and edges are encryption keys
- D. Vertices are path lengths and edges are SQL functions
Which example is a common AI use case?
- A. Listing database tables alphabetically in a schema browser
- B. Manually assigning a subnet CIDR during database provisioning
- C. Detecting fraudulent transactions from behavior patterns
- D. Rotating an encryption key on a fixed compliance schedule
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Which statement describes Artificial Intelligence?
- A. Systems use data and algorithms to perform tasks that normally require human intelligence
- B. Systems are identical to AGI in all current enterprise products
- C. Systems replace databases by storing all data as graphs
- D. Systems eliminate the need for training data in every use case
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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. Data Studio
- B. SQL Worksheet for individual query execution
- C. Database Users for account administration
- D. Private Endpoint configuration for network access
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