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

1z0-1195-26 Exam Simulator
  • Exam Code: 1z0-1195-26
  • Exam Name: Oracle AI Database Foundations Associate
  • Updated: Sep 10, 2026
  • Q & A: 54 Questions and Answers
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Oracle 1z0-1195-26 exam simulator

Oracle 1z0-1195-26 Exam Syllabus Topics:

SectionWeightObjectives
Working with AI and Vector Foundations15%- Explain vectors, embeddings, and the Oracle VECTOR data type
- Apply vector distance and indexing concepts to similarity search needs
- Describe AI, AGI, and machine learning foundations
Building Low-Code Applications and Agentic AI10%- Describe Oracle APEX as Oracle's low-code platform
- Choose the appropriate Agent Factory capability for a no-code AI agent use case
Working with JSON and Graph in Oracle AI Database20%- Explain JSON and Oracle AI Database JSON capabilities
- Describe core graph concepts and graph analytic capabilities
- Distinguish when graph capabilities and Property Graph Views fit a business use case
Using Oracle Database Actions and Data Studio Tools15%- Apply Data Studio capabilities to data discovery, integration, analysis, and sharing tasks
- Describe Database Actions and core development tools
Identifying Oracle AI Database 26ai Strategy and Autonomous AI Database Basics20%- Explain modern data characteristics and the Oracle AI Database 26ai converged strategy
- Describe Autonomous AI Database characteristics, offerings, and deployment choices
- Create an Autonomous AI Database Serverless instance for a basic workload
Implementing Select AI and AI Vector Search in Autonomous AI Database20%- 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

Oracle AI Database Foundations Associate Sample Questions:

Question #1

What does Oracle mean by a converged database strategy?

  • A. One application server manages all databases without schema changes.
  • B. One database architecture supports multiple data types and workloads together.
  • C. One storage tier is reserved only for AI workloads and vector indexes.
  • D. One reporting tool replaces SQL, JSON APIs, and graph queries.
Answer: B

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Question #2

Which JSON feature helps represent repeating child data inside one document?

  • A. A scalar property that stores one child value
  • B. Arrays and nested objects
  • C. A document identifier that points to an external table only
  • D. A flat property list with each child stored as a separate document
Answer: B

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Question #3

Which graph analytics capability is commonly used to rank important vertices based on their relationships?

  • A. PageRank
  • B. Vector distance metric
  • C. JSON Duality View
  • D. Private endpoint access
Answer: A

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Question #4

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. Return unfiltered database patches as the answer context.
  • B. Replace all policy documents with graph edge IDs.
  • C. Retrieve semantically similar document chunks to provide context for generation.
  • D. Use only keyword matching because enterprise data must not use embeddings.
Answer: C

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Question #5

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

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

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