Oracle 1z0-1195-26 Exam Questions : Oracle AI Database Foundations Associate
- Exam Code: 1z0-1195-26
- Exam Name: Oracle AI Database Foundations Associate
- Updated: Sep 11, 2026
- Q&As: 54 Questions and Answers
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Oracle 1z0-1195-26 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Working with AI and Vector Foundations | 15% | - Describe AI, AGI, and machine learning foundations - Apply vector distance and indexing concepts to similarity search needs - Explain vectors, embeddings, and the Oracle VECTOR data type |
| Topic 2: Building Low-Code Applications and Agentic AI | 10% | - Describe Oracle APEX as Oracle's low-code platform - Choose the appropriate Agent Factory capability for a no-code AI agent use case |
| Topic 3: Using Oracle Database Actions and Data Studio Tools | 15% | - Describe Database Actions and core development tools - Apply Data Studio capabilities to data discovery, integration, analysis, and sharing tasks |
| Topic 4: Working with JSON and Graph in Oracle AI Database | 20% | - Describe core graph concepts and graph analytic capabilities - Distinguish when graph capabilities and Property Graph Views fit a business use case - Explain JSON and Oracle AI Database JSON capabilities |
| Topic 5: Identifying Oracle AI Database 26ai Strategy and Autonomous AI Database Basics | 20% | - Explain modern data characteristics and the Oracle AI Database 26ai converged strategy - Create an Autonomous AI Database Serverless instance for a basic workload - Describe Autonomous AI Database characteristics, offerings, and deployment choices |
| Topic 6: Implementing Select AI and AI Vector Search in Autonomous AI Database | 20% | - Determine how AI Vector Search supports GenAI pipelines and RAG - Describe Select AI in Autonomous AI Database - Apply AI Vector Search to combined semantic and business-data search scenarios |
Oracle AI Database Foundations Associate Sample Questions:
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
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A development team wants to receive patches before the regular maintenance schedule so they can validate changes early.
Which maintenance option should they select?
- A. Late maintenance
- B. Early maintenance
- C. Regular maintenance
- D. Application-controlled maintenance
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What happens after a user asks a business question with Select AI?
- A. The user must manually create embeddings before SQL can be generated
- B. The system selects database tables and joins without using any schema metadata
- C. The database disables SQL and switches to document APIs only
- D. The platform manages prompt engineering, interacts with an LLM, and produces the answer
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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 is used only for JSON workloads, while Dedicated is used only for relational workloads
- D. Serverless and Dedicated differ only in the SQL tools available to developers
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Which set of characteristics is commonly used to describe Autonomous AI Database?
- A. Self-driving, self-securing, and self-repairing
- B. Self-coding, self-licensing, and self-networking
- C. Self-hosted, self-audited, and self-architected
- D. Self-training, self-upgrading, and self-documenting
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