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Oracle 1z0-1195-26 Exam Syllabus Topics:

SectionWeightObjectives
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
- Create an Autonomous AI Database Serverless instance for a basic workload
- Describe Autonomous AI Database characteristics, offerings, and deployment choices
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
Implementing Select AI and AI Vector Search in Autonomous AI Database20%- Apply AI Vector Search to combined semantic and business-data search scenarios
- Describe Select AI in Autonomous AI Database
- Determine how AI Vector Search supports GenAI pipelines and RAG
Working with JSON and Graph in Oracle AI Database20%- Explain JSON and Oracle AI Database JSON capabilities
- Distinguish when graph capabilities and Property Graph Views fit a business use case
- Describe core graph concepts and graph analytic capabilities
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

Oracle AI Database Foundations Associate Sample Questions:

Which sequence matches a simple RAG pipeline?

  • A. Build a graph model, then schedule maintenance, then create embeddings after generation
  • B. Provision an application workspace, then skip retrieval and generate answers directly from schema metadata
  • C. Generate an answer first, then create embeddings only if the answer looks weak
  • D. Create embeddings, store vectors, retrieve relevant chunks by similarity, then generate an answer
Answer: D

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

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

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A recruiting application must find the top job postings that semantically match a candidate's resume, but only in the candidate's city. How should the application meet this requirement?

  • A. Use one SQL query that combines relational filters with vector distance ordering
  • B. Use Early maintenance so results are ranked sooner
  • C. Replace job descriptions with graph edge labels only
  • D. Export all job postings to a separate vector platform and remove city filtering
Answer: A

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Why do developers often use JSON in applications?

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

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What does a JSON Duality View enable?

  • A. It converts a graph model into a vector index automatically
  • B. It exposes relational data as JSON documents while preserving relational storage
  • C. It replaces SQL with a document-only query language
  • D. It requires data to be copied into a separate JSON database
Answer: B

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