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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 |
| Autonomous AI Database and Tools | ~16% | - Built-in management and query tools - Shared vs dedicated infrastructure - Core features of Autonomous AI Database |
| Oracle Database Services — Exadata, DBCS, and Engineered Systems | ~11% | - Exadata architecture and features - Database Cloud Service (DBCS) characteristics |
| MySQL HeatWave and NoSQL Services | ~11% | - MySQL HeatWave architecture and analytics - Oracle NoSQL Database features and use cases |
| Security, Resilience, and Cloud Integration | ~21% | - High availability, backup, and disaster recovery - Cloud-native database services and deployment strategies - Database security architectures and data protection |
| Data Management and Oracle Data Platform Overview | ~11% | - Oracle Data Strategy and multi-cloud deployment models - Data management concepts and data types - Modern data platform value and architecture |
| Oracle Machine Learning and AI Integration | ~15% | - In-database machine learning algorithms - Oracle Data Studio and visualization - AI agents and LLM integration |
Oracle AI Database Foundations Associate Sample Questions:
Question 1
What happens after a user asks a business question with Select AI?
A. The system selects database tables and joins without using any schema metadata
B. The database disables SQL and switches to document APIs only
C. The platform manages prompt engineering, interacts with an LLM, and produces the answer
D. The user must manually create embeddings before SQL can be generated
Question 2
Which set of characteristics is commonly used to describe Autonomous AI Database?
A. Self-coding, self-licensing, and self-networking
B. Self-driving, self-securing, and self-repairing
C. Self-training, self-upgrading, and self-documenting
D. Self-hosted, self-audited, and self-architected
Question 3
In a RAG-style application, where does similarity search apply?
A. It replaces the generation step by returning only raw vector values
B. It retrieves the most relevant stored content for the user's question
C. It evaluates user authentication rules before retrieving context
D. It creates the original source documents from the generated answer
Question 4
A data engineer is creating a vector similarity query and wants to choose the distance metric correctly.
Which guidance should be applied?
A. Choose the metric based on the database maintenance schedule.
B. Choose the metric based on the number of rows in the table.
C. Choose the metric based on whether the data also has JSON attributes.
D. Choose the distance metric based on the embedding model that produced the vectors.
Question 5
A company must control the lifecycle of its database encryption keys to satisfy regulatory requirements.
Which key management option should it use for the Oracle Autonomous AI Database instance?
A. APEX-managed workspace keys
B. Oracle-managed keys
C. Customer-managed keys stored through OCI Vault integration
D. Public internet certificates managed by Database Actions
Solutions:
| Question 1 Answer: C | Question 2 Answer: B | Question 3 Answer: B | Question 4 Answer: D | Question 5 Answer: C |
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