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Oracle 1z0-1195-26 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| 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 |
| Working with AI and Vector Foundations | 15% | - Explain vectors, embeddings, and the Oracle VECTOR data type - Describe AI, AGI, and machine learning foundations - Apply vector distance and indexing concepts to similarity search needs |
| 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 |
| 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% | - Describe core graph concepts and graph analytic capabilities - Distinguish when graph capabilities and Property Graph Views fit a business use case - Explain JSON and Oracle AI Database JSON capabilities |
| 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 |
Oracle AI Database Foundations Associate Sample Questions:
Question #1
How can developers access JSON Duality Views?
A. Through APEX-specific PL/SQL packages as the primary interface
B. Through MongoDB-compatible APIs or SQL
C. Through exported JSON files loaded into a separate document store
D. Through graph visualization queries in place of document APIs
Question #2
What is the main difference between Autonomous AI Database Serverless and Dedicated deployment choices?
A. Serverless is simple and elastic, while Dedicated provides isolated private resources and more customization.
B. Serverless is used only for JSON workloads, while Dedicated is used only for relational workloads
C. Serverless and Dedicated differ only in the SQL tools available to developers
D. Serverless requires customers to manage isolated Exadata infrastructure, while Dedicated is fully shared by default
Question #3
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 stores structured filter values as graph relationships before search can run
C. It uses document APIs for search while excluding SQL-based business predicates
D. It supports semantic search with relational business filters in an integrated database approach
Question #4
In a property graph, what are vertices and edges?
A. Vertices are path lengths and edges are SQL functions
B. Vertices are storage partitions, and edges are encryption keys
C. Vertices represent entities, and edges represent relationships between them
D. Vertices are JSON collections, and edges are maintenance policies
Question #5
A vector index will not fit entirely in memory. Which index organization option should be considered for use?
A. EXACT SEARCH ONLY
B. INMEMORY NEIGHBOR GRAPH
C. TARGET ACCURACY
D. NEIGHBOR PARTITIONS
Solutions:
| Question #1 Correct Answer: B | Question #2 Correct Answer: A | Question #3 Correct Answer: D | Question #4 Correct Answer: C | Question #5 Correct Answer: D |
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