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Oracle 1z0-1195-26 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Oracle Machine Learning and AI Integration | ~15% | - In-database machine learning algorithms - AI agents and LLM integration - Oracle Data Studio and visualization |
| Security, Resilience, and Cloud Integration | ~21% | - Database security architectures and data protection - High availability, backup, and disaster recovery - Cloud-native database services and deployment strategies |
| Oracle Database Services — Exadata, DBCS, and Engineered Systems | ~11% | - Exadata architecture and features - Database Cloud Service (DBCS) characteristics |
| Autonomous AI Database and Tools | ~16% | - Core features of Autonomous AI Database - Shared vs dedicated infrastructure - Built-in management and query tools |
| Data Management and Oracle Data Platform Overview | ~11% | - Oracle Data Strategy and multi-cloud deployment models - Modern data platform value and architecture - Data management concepts and data types |
| Converged Database — Multi-Model and AI Capabilities | ~15% | - Select AI and natural language querying - JSON, Graph, Spatial, and key-value data support - Oracle AI Vector Search concepts |
| MySQL HeatWave and NoSQL Services | ~11% | - Oracle NoSQL Database features and use cases - MySQL HeatWave architecture and analytics |
Oracle AI Database Foundations Associate Sample Questions:
Question #1
What is OSON in Oracle AI Database JSON support?
A. A visualization tool for graph queries
B. An optimized binary format for JSON storage
C. A maintenance schedule for JSON collections
D. A SQL worksheet page in Database Actions
Question #2
Which JSON feature helps represent repeating child data inside one document?
A. A flat property list with each child stored as a separate document
B. A scalar property that stores one child value
C. A document identifier that points to an external table only
D. Arrays and nested objects
Question #3
What does a JSON Duality View enable?
A. It replaces SQL with a document-only query language
B. It requires data to be copied into a separate JSON database
C. It exposes relational data as JSON documents while preserving relational storage
D. It converts a graph model into a vector index automatically
Question #4
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. Database Users
B. Graph Studio
C. Data Studio
D. SQL Worksheet
Question #5
In a property graph, what are vertices and edges?
A. Vertices are JSON collections, and edges are maintenance policies
B. Vertices are storage partitions, and edges are encryption keys
C. Vertices represent entities, and edges represent relationships between them
D. Vertices are path lengths and edges are SQL functions
Solutions:
| Question #1 Correct Answer: B | Question #2 Correct Answer: D | Question #3 Correct Answer: C | Question #4 Correct Answer: C | Question #5 Correct Answer: C |
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