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Oracle 1z0-1195-26 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| 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 |
| Security, Resilience, and Cloud Integration | ~21% | - Database security architectures and data protection - Cloud-native database services and deployment strategies - High availability, backup, and disaster recovery |
| MySQL HeatWave and NoSQL Services | ~11% | - MySQL HeatWave architecture and analytics - Oracle NoSQL Database features and use cases |
| Autonomous AI Database and Tools | ~16% | - Core features of Autonomous AI Database - Shared vs dedicated infrastructure - Built-in management and query tools |
| Oracle Database Services — Exadata, DBCS, and Engineered Systems | ~11% | - Exadata architecture and features - Database Cloud Service (DBCS) characteristics |
| Converged Database — Multi-Model and AI Capabilities | ~15% | - Oracle AI Vector Search concepts - JSON, Graph, Spatial, and key-value data support - Select AI and natural language querying |
| Oracle Machine Learning and AI Integration | ~15% | - AI agents and LLM integration - In-database machine learning algorithms - Oracle Data Studio and visualization |
Oracle AI Database Foundations Associate Sample Questions:
Question 1
A development team needs an Autonomous AI Database deployment that starts small, minimizes setup effort, and can scale easily. Which deployment choice fits this requirement?
A. Serverless, because it is designed for simple deployment and elastic scaling
B. Dedicated, because it allows full control over infrastructure configuration and capacity planning
C. A fixed-capacity deployment option, because it maintains consistent performance without scaling
D. Dedicated, because it requires capacity to be provisioned and scaled by administrators
Question 2
What describes the role of the Database Actions menu in Autonomous AI Database?
A. A workspace used only to configure vector index organization settings
B. A graph analytics engine used instead of SQL tools
C. A network access option used to isolate database connections
D. The central location for built-in database tools and related workspaces
Question 3
How can developers access JSON Duality Views?
A. Through graph visualization queries in place of document APIs
B. Through APEX-specific PL/SQL packages as the primary interface
C. Through MongoDB-compatible APIs or SQL
D. Through exported JSON files loaded into a separate document store
Question 4
What is the main difference between Autonomous AI Database Serverless and Dedicated deployment choices?
A. Serverless is simple and elastic, while Dedicated provides isolated private resources and more customization.
B. Serverless requires customers to manage isolated Exadata infrastructure, while Dedicated is fully shared by default
C. Serverless and Dedicated differ only in the SQL tools available to developers
D. Serverless is used only for JSON workloads, while Dedicated is used only for relational workloads
Question 5
Which sequence matches a simple RAG pipeline?
A. Create embeddings, store vectors, retrieve relevant chunks by similarity, then generate an answer
B. Provision an application workspace, then skip retrieval and generate answers directly from schema metadata
C. Generate an answer first, then create embeddings only if the answer looks weak
D. Build a graph model, then schedule maintenance, then create embeddings after generation
Solutions:
| Question 1 Answer: A | Question 2 Answer: D | Question 3 Answer: C | Question 4 Answer: A | Question 5 Answer: A |






