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Last Updated: Sep 13, 2026
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Oracle 1z0-1195-26 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Implementing Select AI and AI Vector Search in Autonomous AI Database | - 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 |
| Topic 2: Building Low-Code Applications and Agentic AI | - Describe Oracle APEX as Oracle's low-code platform - Choose the appropriate Agent Factory capability for a no-code AI agent use case |
| Topic 3: Identifying Oracle AI Database 26ai Strategy and Autonomous AI Database Basics | - Describe Autonomous AI Database characteristics, offerings, and deployment choices - Create an Autonomous AI Database Serverless instance for a basic workload - Explain modern data characteristics and the Oracle AI Database 26ai converged strategy |
| Topic 4: Working with JSON and Graph in Oracle AI Database | - Distinguish when graph capabilities and Property Graph Views fit a business use case - Describe core graph concepts and graph analytic capabilities - Explain JSON and Oracle AI Database JSON capabilities |
| Topic 5: Using Oracle Database Actions and Data Studio Tools | - Describe Database Actions and core development tools - Apply Data Studio capabilities to data discovery, integration, analysis, and sharing tasks |
| Topic 6: Working with AI and Vector Foundations | - Apply vector distance and indexing concepts to similarity search needs - Explain vectors, embeddings, and the Oracle VECTOR data type - Describe AI, AGI, and machine learning foundations |
Oracle AI Database Foundations Associate Sample Questions:
A retailer wants to find products semantically similar to a shopper's description, but only from items that are in stock and sold in the shopper's region. Which design meets this requirement?
- A. Use JSON Duality Views because similarity search requires document-only access
- B. Use vector search only, then manually remove unavailable products outside the database
- C. Use a single SQL statement that combines stock and region filters with vector ranking
- D. Use a property graph because vector search cannot work with business predicates
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How can developers create vectors for data objects in Oracle AI Database 26ai?
- A. By using a built-in vectorization function
- B. By defining every vector as a JSON document manually
- C. By loading the data into a separate vector service before querying it
- D. By converting all source objects into Property Graph Views first
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A vector index will not fit entirely in memory. Which index organization option should be considered for use?
- A. NEIGHBOR PARTITIONS
- B. EXACT SEARCH ONLY
- C. INMEMORY NEIGHBOR GRAPH
- D. TARGET ACCURACY
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A team needs faster similarity search at scale and accepts approximate top-K results. Which feature should they use?
- A. A graph view with ONE ROW PER STEP
- B. A vector index with approximate search
- C. A JSON duality view with update restrictions
- D. A standard B-tree index optimized for exact match and range queries
Which set is included in the Oracle AI Database 26ai converged approach?
- A. JSON, document APIs, storage buckets, monitoring, and billing
- B. Relational, XML, spatial, external-only graph stores, and separate vector databases
- C. Relational, JSON, vector, object-only files, and separate document stores
- D. Relational, JSON, vector, graph, and spatial
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