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Oracle 1z0-1195-26 Exam Syllabus Topics:

SectionWeightObjectives
Oracle Database Services — Exadata, DBCS, and Engineered Systems~11%- Database Cloud Service (DBCS) characteristics
- Exadata architecture and features
Security, Resilience, and Cloud Integration~21%- High availability, backup, and disaster recovery
- Database security architectures and data protection
- Cloud-native database services and deployment strategies
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%- Shared vs dedicated infrastructure
- Built-in management and query tools
- Core features of Autonomous AI Database
MySQL HeatWave and NoSQL Services~11%- Oracle NoSQL Database features and use cases
- MySQL HeatWave architecture and analytics
Oracle Machine Learning and AI Integration~15%- AI agents and LLM integration
- In-database machine learning algorithms
- Oracle Data Studio and visualization
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 AI Database Foundations Associate Sample Questions:

Question 1

Which statement describes Artificial Intelligence?

A. Systems are identical to AGI in all current enterprise products
B. Systems replace databases by storing all data as graphs
C. Systems use data and algorithms to perform tasks that normally require human intelligence
D. Systems eliminate the need for training data in every use case


Question 2

A bank wants to identify indirect money movement patterns across several accounts to support fraud investigation. Which approach fits this requirement?

A. Store transaction descriptions as flat text and search by keywords only
B. Use a relational report that shows one transaction at a time without link analysis
C. Store only summary totals for each account without relationship data
D. Model accounts as vertices and transfers as edges in a property graph


Question 3

What does the Oracle VECTOR data type enable?

A. Native storage of vector values in the database
B. Automatic conversion of every table into a graph model
C. Automatic JSON schema validation for all APIs
D. Browser-based low-code page design


Question 4

Why do developers often use JSON in applications?

A. It can store only numeric values and arrays.
B. It maps well to application objects and supports nested structures.
C. It requires a fixed schema before any data can be stored.
D. It replaces the need for APIs and CRUD operations.


Question 5

A retailer wants to find products semantically similar to a shopper's description, but only from items that are in stock and sold in the shopper's region. Which design meets this requirement?

A. Use vector search only, then manually remove unavailable products outside the database
B. Use JSON Duality Views because similarity search requires document-only access
C. Use a single SQL statement that combines stock and region filters with vector ranking
D. Use a property graph because vector search cannot work with business predicates


Solutions:

Question 1
Answer: C
Question 2
Answer: D
Question 3
Answer: A
Question 4
Answer: B
Question 5
Answer: C

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