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

  • Exam Code: 1z0-1195-26
  • Exam Name: Oracle AI Database Foundations Associate
  • Updated: Sep 14, 2026
  • Q&As: 54 Questions and Answers

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Oracle 1z0-1195-26 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: 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
Topic 2: Identifying Oracle AI Database 26ai Strategy and Autonomous AI Database Basics20%- Create an Autonomous AI Database Serverless instance for a basic workload
- Describe Autonomous AI Database characteristics, offerings, and deployment choices
- Explain modern data characteristics and the Oracle AI Database 26ai converged strategy
Topic 3: Using Oracle Database Actions and Data Studio Tools15%- Describe Database Actions and core development tools
- Apply Data Studio capabilities to data discovery, integration, analysis, and sharing tasks
Topic 4: Working with AI and Vector Foundations15%- Apply vector distance and indexing concepts to similarity search needs
- Describe AI, AGI, and machine learning foundations
- Explain vectors, embeddings, and the Oracle VECTOR data type
Topic 5: 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
Topic 6: 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

Oracle AI Database Foundations Associate Sample Questions:

Question #1

What is OSON in Oracle AI Database JSON support?

  • A. A visualization tool for graph queries
  • B. A maintenance schedule for JSON collections
  • C. A SQL worksheet page in Database Actions
  • D. An optimized binary format for JSON storage
Reveal Solution  Discussion  0

Correct Answer: D  🗳️

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Question #2

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 uses metadata definitions so graph queries read current data from referenced objects
  • B. It stores a separate graph copy that is refreshed only during scheduled batch jobs
  • C. It provides graph visualization while requiring a separate platform for graph query execution
  • D. It converts source tables into JSON collections before graph queries can run
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

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Question #3

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

  • A. A vector index with approximate search
  • B. A standard B-tree index optimized for exact match and range queries
  • C. A graph view with ONE ROW PER STEP
  • D. A JSON duality view with update restrictions
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

Question #4

A data engineer is creating a vector similarity query and wants to choose the distance metric correctly.
Which guidance should be applied?

  • A. Choose the metric based on whether the data also has JSON attributes.
  • B. Choose the metric based on the number of rows in the table.
  • C. Choose the distance metric based on the embedding model that produced the vectors.
  • D. Choose the metric based on the database maintenance schedule.
Reveal Solution  Discussion  0

Correct Answer: C  🗳️

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Question #5

A business wants one data platform where semantic similarity, relational consistency, and SQL-based filtering all work together.
Which statement aligns with this design goal?

  • A. Vector search requires data to be modeled as graph paths before SQL predicates are applied.
  • B. Semantic search is usually handled after relational filters are removed from the query flow.
  • C. SQL filtering is handled in a separate application step after vector search returns results.
  • D. A converged database can keep data consistent while combining vector search with SQL.
Reveal Solution  Discussion  0

Correct Answer: D  🗳️

Explanation: Only visible for TestkingPass members. You can sign-up / login (it's free).

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