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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% | - 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 | 20% | - Explain modern data characteristics and the Oracle AI Database 26ai converged strategy - Create an Autonomous AI Database Serverless instance for a basic workload - Describe Autonomous AI Database characteristics, offerings, and deployment choices |
| Working with JSON and Graph in Oracle AI Database | 20% | - 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 |
| 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 |
| Building Low-Code Applications and Agentic AI | 10% | - 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 | 15% | - 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 |
Oracle AI Database Foundations Associate Sample Questions:
Question 1
Which offering is positioned for JSON-centric workloads and includes Oracle Database API for MongoDB?
A. Autonomous AI Transaction Processing only
B. Oracle APEX Service
C. Autonomous AI JSON Database
D. Autonomous AI Lakehouse
Question 2
A business team wants to launch a no-code AI agent quickly. They prefer to start from a ready-made option and later refine the publishing workflow. Which Private Agent Factory capability path fits this need?
A. Build a custom agent from a blank setup before reviewing any available templates
B. Configure data-source connections before selecting a template or agent starting point
C. Start with a pre-built agent or template, then use Agent Builder if more customization is needed
D. Create a prompt-only prototype and publish it without using Agent Factory agent options
Question 3
You just provisioned a Serverless database and need to confirm when application teams can begin connecting to it. When is the database ready for connections?
A. When a Data Studio project is created for the database
B. When the Create button is selected in the console
C. When a JSON collection table is loaded into the database
D. When the instance shows Available after provisioning
Question 4
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 avoid all data transformation and synchronization work
D. They can query all data types together with one built-in model automatically
Question 5
In a property graph, what are vertices and edges?
A. Vertices are path lengths and edges are SQL functions
B. Vertices are storage partitions, and edges are encryption keys
C. Vertices are JSON collections, and edges are maintenance policies
D. Vertices represent entities, and edges represent relationships between them
Solutions:
| Question 1 Answer: C | Question 2 Answer: C | Question 3 Answer: D | Question 4 Answer: B | Question 5 Answer: D |



