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Oracle 1z0-1195-26 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Implementing Select AI and AI Vector Search in Autonomous AI Database | 20% | - Determine how AI Vector Search supports GenAI pipelines and RAG - Describe Select AI in Autonomous AI Database - Apply AI Vector Search to combined semantic and business-data search scenarios |
| Identifying Oracle AI Database 26ai Strategy and Autonomous AI Database Basics | 20% | - 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 Foundations | 15% | - Describe AI, AGI, and machine learning foundations - Apply vector distance and indexing concepts to similarity search needs - Explain vectors, embeddings, and the Oracle VECTOR data type |
| Building Low-Code Applications and Agentic AI | 10% | - 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 Database | 20% | - Distinguish when graph capabilities and Property Graph Views fit a business use case - Explain JSON and Oracle AI Database JSON capabilities - Describe core graph concepts and graph analytic capabilities |
| Using Oracle Database Actions and Data Studio Tools | 15% | - 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:
Which graph analytics capability is commonly used to rank important vertices based on their relationships?
- A. JSON Duality View
- B. Private endpoint access
- C. PageRank
- D. Vector distance metric
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Which pair correctly matches an AI domain to an example?
- A. Forecasting - entity extraction from text
- B. Speech - product demand prediction
- C. Language - object detection in photos
- D. Vision - image classification
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What is OSON in Oracle AI Database JSON support?
- A. A SQL worksheet page in Database Actions
- B. An optimized binary format for JSON storage
- C. A maintenance schedule for JSON collections
- D. A visualization tool for graph queries
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What does a JSON Duality View enable?
- A. It exposes relational data as JSON documents while preserving relational storage
- B. It requires data to be copied into a separate JSON database
- C. It converts a graph model into a vector index automatically
- D. It replaces SQL with a document-only query language
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Which statement describes Artificial Intelligence?
- A. Systems use data and algorithms to perform tasks that normally require human intelligence
- B. Systems eliminate the need for training data in every use case
- C. Systems are identical to AGI in all current enterprise products
- D. Systems replace databases by storing all data as graphs
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