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Oracle 1z0-1195-26 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Working with JSON and Graph in Oracle AI Database | - Describe core graph concepts and graph analytic capabilities - Explain JSON and Oracle AI Database JSON capabilities - Distinguish when graph capabilities and Property Graph Views fit a business use case |
| Implementing Select AI and AI Vector Search in Autonomous AI Database | - 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 |
| 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 |
| 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 |
| Working with AI and Vector Foundations | - 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 |
| Building Low-Code Applications and Agentic AI | - 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 happens after a user asks a business question with Select AI?
A. The database disables SQL and switches to document APIs only
B. The user must manually create embeddings before SQL can be generated
C. The platform manages prompt engineering, interacts with an LLM, and produces the answer
D. The system selects database tables and joins without using any schema metadata
Question 2
A recruiting application must find the top job postings that semantically match a candidate's resume, but only in the candidate's city. How should the application meet this requirement?
A. Use one SQL query that combines relational filters with vector distance ordering
B. Use Early maintenance so results are ranked sooner
C. Export all job postings to a separate vector platform and remove city filtering
D. Replace job descriptions with graph edge labels only
Question 3
A data engineer is creating a vector similarity query and wants to choose the distance metric correctly.
Which guidance should be applied?
A. Choose the metric based on whether the data also has JSON attributes.
B. Choose the distance metric based on the embedding model that produced the vectors.
C. Choose the metric based on the number of rows in the table.
D. Choose the metric based on the database maintenance schedule.
Question 4
A bank wants to identify indirect money movement patterns across several accounts to support fraud investigation. Which approach fits this requirement?
A. Store only summary totals for each account without relationship data
B. Model accounts as vertices and transfers as edges in a property graph
C. Use a relational report that shows one transaction at a time without link analysis
D. Store transaction descriptions as flat text and search by keywords only
Question 5
What does Select AI enable in Autonomous AI Database?
A. Administrators can rotate customer-managed encryption keys from a query prompt
B. Administrators can provision database instances from natural-language prompts
C. Users can replace every SQL query with graph pattern matching
D. Users can ask natural-language questions to get data answers
Solutions:
| Question 1 Answer: C | Question 2 Answer: A | Question 3 Answer: B | Question 4 Answer: B | Question 5 Answer: D |
