Exam Code: 1z0-1195-26
Exam Name: Oracle AI Database Foundations Associate
Certification Provider: Oracle
Corresponding Certification: Oracle Cloud Infrastructure
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Oracle 1z0-1195-26 Exam Syllabus Topics:

SectionWeightObjectives
Building Low-Code Applications and Agentic AI10%- Choose the appropriate Agent Factory capability for a no-code AI agent use case
- Describe Oracle APEX as Oracle's low-code platform
Identifying Oracle AI Database 26ai Strategy and Autonomous AI Database Basics20%- Create an Autonomous AI Database Serverless instance for a basic workload
- Explain modern data characteristics and the Oracle AI Database 26ai converged strategy
- 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
- Determine how AI Vector Search supports GenAI pipelines and RAG
- Describe Select AI in Autonomous AI Database
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
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

Oracle AI Database Foundations Associate Sample Questions:

A support portal must search product manuals semantically while also filtering results by product line and support level stored in relational columns. How does Oracle AI Vector Search support this requirement?

  • A. It requires semantic search results to be filtered outside the database after retrieval
  • B. It supports semantic search with relational business filters in an integrated database approach
  • C. It uses document APIs for search while excluding SQL-based business predicates
  • D. It stores structured filter values as graph relationships before search can run
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

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

How can developers access JSON Duality Views?

  • A. Through graph visualization queries in place of document APIs
  • B. Through MongoDB-compatible APIs or SQL
  • C. Through exported JSON files loaded into a separate document store
  • D. Through APEX-specific PL/SQL packages as the primary interface
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

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

What is OSON in Oracle AI Database JSON support?

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

Correct Answer: C  🗳️

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What does a JSON Duality View enable?

  • A. It replaces SQL with a document-only query language
  • B. It requires data to be copied into a separate JSON database
  • C. It exposes relational data as JSON documents while preserving relational storage
  • D. It converts a graph model into a vector index automatically
Reveal Solution  Discussion  0

Correct Answer: C  🗳️

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

What is an embedding in the context of AI Vector Search?

  • A. A sequence of numbers that represents semantic content
  • B. A graph edge label stored in a property graph
  • C. A maintenance schedule attached to a database instance
  • D. A text-only backup of a JSON collection
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

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