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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 - Apply AI Vector Search to combined semantic and business-data search scenarios - Describe Select AI in Autonomous AI Database |
| Working with AI and Vector Foundations | 15% | - 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 |
| Identifying Oracle AI Database 26ai Strategy and Autonomous AI Database Basics | 20% | - 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 |
| Building Low-Code Applications and Agentic AI | 10% | - Choose the appropriate Agent Factory capability for a no-code AI agent use case - Describe Oracle APEX as Oracle's low-code platform |
| Working with JSON and Graph in Oracle AI Database | 20% | - 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 |
| 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:
Question #1
Which graph analytics capability is commonly used to rank important vertices based on their relationships?
A. Vector distance metric
B. JSON Duality View
C. Private endpoint access
D. PageRank
Question #2
In a RAG-style application, where does similarity search apply?
A. It replaces the generation step by returning only raw vector values
B. It retrieves the most relevant stored content for the user's question
C. It evaluates user authentication rules before retrieving context
D. It creates the original source documents from the generated answer
Question #3
In a property graph, what are vertices and edges?
A. Vertices represent entities, and edges represent relationships between them
B. Vertices are JSON collections, and edges are maintenance policies
C. Vertices are path lengths and edges are SQL functions
D. Vertices are storage partitions, and edges are encryption keys
Question #4
A team needs faster similarity search at scale and accepts approximate top-K results. Which feature should they use?
A. A standard B-tree index optimized for exact match and range queries
B. A graph view with ONE ROW PER STEP
C. A vector index with approximate search
D. A JSON duality view with update restrictions
Question #5
You just provisioned a Serverless database and need to confirm when application teams can begin connecting to it. When is the database ready for connections?
A. When the Create button is selected in the console
B. When a Data Studio project is created for the database
C. When the instance shows Available after provisioning
D. When a JSON collection table is loaded into the database
Solutions:
| Question #1 Correct Answer: D | Question #2 Correct Answer: B | Question #3 Correct Answer: A | Question #4 Correct Answer: C | Question #5 Correct Answer: C |



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