Exam Name: Oracle AI Database Foundations Associate
Certification Provider: Oracle
Corresponding Certification: Oracle Cloud Infrastructure
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Oracle 1z0-1195-26 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| 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% | - Describe Oracle APEX as Oracle's low-code platform - Choose the appropriate Agent Factory capability for a no-code AI agent use case |
| 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 |
| 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 |
| 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 - 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:
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. Start with a pre-built agent or template, then use Agent Builder if more customization is needed
- B. Configure data-source connections before selecting a template or agent starting point
- C. Create a prompt-only prototype and publish it without using Agent Factory agent options
- D. Build a custom agent from a blank setup before reviewing any available templates
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In a property graph, what are vertices and edges?
- A. Vertices are JSON collections, and edges are maintenance policies
- B. Vertices represent entities, and edges represent relationships between them
- C. Vertices are path lengths and edges are SQL functions
- D. Vertices are storage partitions, and edges are encryption keys
What does a JSON Duality View enable?
- A. It exposes relational data as JSON documents while preserving relational storage
- B. It replaces SQL with a document-only query language
- C. It converts a graph model into a vector index automatically
- D. It requires data to be copied into a separate JSON database
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A team already uses Database Actions and now needs the part of the environment focused on discovery, load, integration, and cataloging. Which workspace should they open?
- A. Graph Studio
- B. Database Users
- C. SQL Worksheet
- D. Data Studio
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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. Semantic search is usually handled after relational filters are removed from the query flow.
- C. Vector search requires data to be modeled as graph paths before SQL predicates are applied.
- D. A converged database can keep data consistent while combining vector search with SQL.
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