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Oracle 1z0-1195-26 : Oracle AI Database Foundations Associate

1z0-1195-26 real exams

Exam Code: 1z0-1195-26

Exam Name: Oracle AI Database Foundations Associate

Updated: Sep 14, 2026

Q & A: 54 Questions and Answers

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Oracle 1z0-1195-26 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Oracle Machine Learning and AI Integration~15%- In-database machine learning algorithms
- Oracle Data Studio and visualization
- AI agents and LLM integration
Topic 2: Oracle Database Services — Exadata, DBCS, and Engineered Systems~11%- Database Cloud Service (DBCS) characteristics
- Exadata architecture and features
Topic 3: 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
Topic 4: Data Management and Oracle Data Platform Overview~11%- Modern data platform value and architecture
- Oracle Data Strategy and multi-cloud deployment models
- Data management concepts and data types
Topic 5: Converged Database — Multi-Model and AI Capabilities~15%- Oracle AI Vector Search concepts
- Select AI and natural language querying
- JSON, Graph, Spatial, and key-value data support
Topic 6: MySQL HeatWave and NoSQL Services~11%- MySQL HeatWave architecture and analytics
- Oracle NoSQL Database features and use cases
Topic 7: Autonomous AI Database and Tools~16%- Shared vs dedicated infrastructure
- Core features of Autonomous AI Database
- Built-in management and query tools

Oracle AI Database Foundations Associate Sample Questions:

Question #1

A team needs faster similarity search at scale and accepts approximate top-K results. Which feature should they use?

A. A standard B-tree index optimized for exact match and range queries
B. A vector index with approximate search
C. A JSON duality view with update restrictions
D. A graph view with ONE ROW PER STEP


Question #2

Which offering is positioned for JSON-centric workloads and includes Oracle Database API for MongoDB?

A. Autonomous AI Transaction Processing only
B. Autonomous AI Lakehouse
C. Oracle APEX Service
D. Autonomous AI JSON Database


Question #3

A manufacturer needs graph analysis that reflects inserts and updates from operational tables immediately.
How does a Property Graph View support this requirement?

A. It stores a separate graph copy that is refreshed only during scheduled batch jobs
B. It converts source tables into JSON collections before graph queries can run
C. It provides graph visualization while requiring a separate platform for graph query execution
D. It uses metadata definitions so graph queries read current data from referenced objects


Question #4

What does Select AI enable in Autonomous AI Database?

A. Users can replace every SQL query with graph pattern matching
B. Users can ask natural-language questions to get data answers
C. Administrators can provision database instances from natural-language prompts
D. Administrators can rotate customer-managed encryption keys from a query prompt


Question #5

What is the main difference between Autonomous AI Database Serverless and Dedicated deployment choices?

A. Serverless is used only for JSON workloads, while Dedicated is used only for relational workloads
B. Serverless and Dedicated differ only in the SQL tools available to developers
C. Serverless requires customers to manage isolated Exadata infrastructure, while Dedicated is fully shared by default
D. Serverless is simple and elastic, while Dedicated provides isolated private resources and more customization.


Solutions:

Question #1
Answer: B
Question #2
Answer: D
Question #3
Answer: D
Question #4
Answer: B
Question #5
Answer: D

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