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Oracle 1z0-1195-26 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Working with JSON and Graph in Oracle AI Database | - Describe core graph concepts and graph analytic capabilities - Explain JSON and Oracle AI Database JSON capabilities - Distinguish when graph capabilities and Property Graph Views fit a business use case |
| Topic 2: Using Oracle Database Actions and Data Studio Tools | - Describe Database Actions and core development tools - Apply Data Studio capabilities to data discovery, integration, analysis, and sharing tasks |
| Topic 3: Building Low-Code Applications and Agentic AI | - Choose the appropriate Agent Factory capability for a no-code AI agent use case - Describe Oracle APEX as Oracle's low-code platform |
| Topic 4: Identifying Oracle AI Database 26ai Strategy and Autonomous AI Database Basics | - Describe Autonomous AI Database characteristics, offerings, and deployment choices - Explain modern data characteristics and the Oracle AI Database 26ai converged strategy - Create an Autonomous AI Database Serverless instance for a basic workload |
| Topic 5: Implementing Select AI and AI Vector Search in Autonomous AI Database | - Describe Select AI in Autonomous AI Database - Determine how AI Vector Search supports GenAI pipelines and RAG - Apply AI Vector Search to combined semantic and business-data search scenarios |
| Topic 6: Working with AI and Vector Foundations | - Apply vector distance and indexing concepts to similarity search needs - Explain vectors, embeddings, and the Oracle VECTOR data type - Describe AI, AGI, and machine learning foundations |
Oracle AI Database Foundations Associate Sample Questions:
When comparing a query vector with stored vectors, what does a smaller vector distance indicate?
- A. The stored vectors were created with different models
- B. The query must switch from SQL to GraphQL
- C. The items require a larger maintenance window
- D. The items are more semantically similar
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What is the operational benefit of using a converged database instead of several point-solution databases?
- A. It can reduce operational complexity by using a more consistent security and patching approach
- B. It automatically removes the need to review security policies for database workloads
- C. It requires every application team to maintain a separate synchronization process
- D. It guarantees that all workloads use the same physical schema and access method
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A company wants a GenAI assistant that answers policy questions by grounding responses in its internal documents.
Which use of AI Vector Search best supports this design?
- A. Replace all policy documents with graph edge IDs.
- B. Return unfiltered database patches as the answer context.
- C. Retrieve semantically similar document chunks to provide context for generation.
- D. Use only keyword matching because enterprise data must not use embeddings.
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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. Regular maintenance
- B. Early maintenance
- C. Application-controlled maintenance
- D. Late maintenance
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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 user must manually create embeddings before SQL can be generated
- C. The platform manages prompt engineering, interacts with an LLM, and produces the answer
- D. The database disables SQL and switches to document APIs only
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