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Oracle 1z0-1195-26 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Working with AI and Vector Foundations | - Describe AI, AGI, and machine learning foundations - Apply vector distance and indexing concepts to similarity search needs - Explain vectors, embeddings, and the Oracle VECTOR data type |
| Topic 2: 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 3: Implementing Select AI and AI Vector Search in Autonomous AI Database | - Apply AI Vector Search to combined semantic and business-data search scenarios - Describe Select AI in Autonomous AI Database - Determine how AI Vector Search supports GenAI pipelines and RAG |
| 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: Building Low-Code Applications and Agentic AI | - Choose the appropriate Agent Factory capability for a no-code AI agent use case - Describe Oracle APEX as Oracle's low-code platform |
| Topic 6: Using Oracle Database Actions and Data Studio Tools | - 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:
A business team wants to launch a no-code AI agent quickly. They prefer to start from a ready-made option and later refine the publishing workflow. Which Private Agent Factory capability path fits this need?
- A. Configure data-source connections before selecting a template or agent starting point
- B. Start with a pre-built agent or template, then use Agent Builder if more customization is needed
- C. Create a prompt-only prototype and publish it without using Agent Factory agent options
- D. Build a custom agent from a blank setup before reviewing any available templates
Correct Answer: B 🗳️
Explanation: Only visible for Exam4Free members. You can sign-up / login (it's free).
How does Oracle APEX help developers build applications with Oracle Database data?
- A. It is a graph analytics workspace for community detection
- B. It is primarily a command-line framework for database-only scripts
- C. It is browser-based and uses native SQL data access
- D. It is a separate application platform that cannot use Oracle Database data
Correct Answer: C 🗳️
Explanation: Only visible for Exam4Free members. You can sign-up / login (it's free).
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 converts source tables into JSON collections before graph queries can run
- B. It uses metadata definitions so graph queries read current data from referenced objects
- C. It stores a separate graph copy that is refreshed only during scheduled batch jobs
- D. It provides graph visualization while requiring a separate platform for graph query execution
Correct Answer: B 🗳️
Explanation: Only visible for Exam4Free members. You can sign-up / login (it's free).
What is the operational benefit of using a converged database instead of several point-solution databases?
- A. It can reduce operational complexity by using a more consistent security and patching approach
- B. It guarantees that all workloads use the same physical schema and access method
- C. It requires every application team to maintain a separate synchronization process
- D. It automatically removes the need to review security policies for database workloads
Correct Answer: A 🗳️
Explanation: Only visible for Exam4Free members. You can sign-up / login (it's free).
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 JSON duality view with update restrictions
- C. A graph view with ONE ROW PER STEP
- D. A vector index with approximate search
Correct Answer: D 🗳️
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