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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 |
| 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 |
| 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 |
| 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 |
| 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% | - 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 |
Oracle AI Database Foundations Associate Sample Questions:
What happens after a user asks a business question with Select AI?
- A. The system selects database tables and joins without using any schema metadata
- B. The database disables SQL and switches to document APIs only
- C. The user must manually create embeddings before SQL can be generated
- D. The platform manages prompt engineering, interacts with an LLM, and produces the answer
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A manufacturer needs graph analysis that reflects inserts and updates from operational tables immediately.
How does a Property Graph View support this requirement?
- A. It provides graph visualization while requiring a separate platform for graph query execution
- B. It converts source tables into JSON collections before graph queries can run
- C. It stores a separate graph copy that is refreshed only during scheduled batch jobs
- D. It uses metadata definitions so graph queries read current data from referenced objects
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Modern applications often need to work with relational data, JSON documents, graph relationships, and vector embeddings. What challenge does using a different specialized database for each need create?
- A. They can avoid all data transformation and synchronization work
- B. They can create data silos that make integrated access and management harder
- C. They can reduce administration because every platform shares one security model
- D. They can query all data types together with one built-in model automatically
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A developer wants one place to work with SQL, REST endpoints, JSON features, APEX, and machine learning tools. Which entry point should the developer use?
- A. Database Actions
- B. Customer-managed key rotation
- C. Vector target accuracy settings
- D. Property Graph View definition only
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What is the operational benefit of using a converged database instead of several point-solution databases?
- A. It guarantees that all workloads use the same physical schema and access method
- B. It requires every application team to maintain a separate synchronization process
- C. It automatically removes the need to review security policies for database workloads
- D. It can reduce operational complexity by using a more consistent security and patching approach
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