Oracle 1z0-1195-26 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| 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% | - Describe Select AI in Autonomous AI Database - Determine how AI Vector Search supports GenAI pipelines and RAG - Apply AI Vector Search to combined semantic and business-data search scenarios |
| Working with AI and Vector Foundations | 15% | - 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 |
| 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 |
| Using Oracle Database Actions and Data Studio Tools | 15% | - Describe Database Actions and core development tools - Apply Data Studio capabilities to data discovery, integration, analysis, and sharing tasks |
| 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 |
Oracle AI Database Foundations Associate Sample Questions:
Question #1
What is an embedding in the context of AI Vector Search?
A. A text-only backup of a JSON collection
B. A sequence of numbers that represents semantic content
C. A graph edge label stored in a property graph
D. A maintenance schedule attached to a database instance
Question #2
Which offering is positioned for JSON-centric workloads and includes Oracle Database API for MongoDB?
A. Autonomous AI JSON Database
B. Autonomous AI Transaction Processing only
C. Oracle APEX Service
D. Autonomous AI Lakehouse
Question #3
In a property graph, what are vertices and edges?
A. Vertices represent entities, and edges represent relationships between them
B. Vertices are storage partitions, and edges are encryption keys
C. Vertices are JSON collections, and edges are maintenance policies
D. Vertices are path lengths and edges are SQL functions
Question #4
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 the instance shows Available after provisioning
C. When a JSON collection table is loaded into the database
D. When a Data Studio project is created for the database
Question #5
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 and Dedicated differ only in the SQL tools available to developers
C. Serverless requires customers to manage isolated Exadata infrastructure, while Dedicated is fully shared by default
D. Serverless is used only for JSON workloads, while Dedicated is used only for relational workloads
Solutions:
| Question #1 Answer: B | Question #2 Answer: A | Question #3 Answer: A | Question #4 Answer: B | Question #5 Answer: A |
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