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Oracle 1z0-1195-26 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Converged Database — Multi-Model and AI Capabilities | ~15% | - Select AI and natural language querying - Oracle AI Vector Search concepts - JSON, Graph, Spatial, and key-value data support |
| Oracle Database Services — Exadata, DBCS, and Engineered Systems | ~11% | - Exadata architecture and features - Database Cloud Service (DBCS) characteristics |
| Oracle Machine Learning and AI Integration | ~15% | - In-database machine learning algorithms - AI agents and LLM integration - Oracle Data Studio and visualization |
| 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 |
| MySQL HeatWave and NoSQL Services | ~11% | - MySQL HeatWave architecture and analytics - Oracle NoSQL Database features and use cases |
| Autonomous AI Database and Tools | ~16% | - Shared vs dedicated infrastructure - Built-in management and query tools - Core features of Autonomous AI Database |
| 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 AI Database Foundations Associate Sample Questions:
What describes the role of the Database Actions menu in Autonomous AI Database?
- A. A network access option used to isolate database connections
- B. A graph analytics engine used instead of SQL tools
- C. A workspace used only to configure vector index organization settings
- D. The central location for built-in database tools and related workspaces
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A developer wants one place to work with SQL, REST endpoints, JSON features, APEX, and machine learning tools. Which entry point should the developer use?
- A. Customer-managed key rotation
- B. Database Actions
- C. Property Graph View definition only
- D. Vector target accuracy settings
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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. A fixed-capacity deployment option, because it maintains consistent performance without scaling
- B. Serverless, because it is designed for simple deployment and elastic scaling
- C. Dedicated, because it requires capacity to be provisioned and scaled by administrators
- D. Dedicated, because it allows full control over infrastructure configuration and capacity planning
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A data analyst wants to discover data, load it into the platform, and prepare it for later use without leaving the built-in tools. Which workspace fits this task?
- A. OCI Vault
- B. Data Studio
- C. Property Graph View definition
- D. VECTOR_DISTANCE function only
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Which example is a common AI use case?
- A. Manually assigning a subnet CIDR during database provisioning
- B. Rotating an encryption key on a fixed compliance schedule
- C. Listing database tables alphabetically in a schema browser
- D. Detecting fraudulent transactions from behavior patterns
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