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Oracle 1z0-1195-26 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Working with JSON and Graph in Oracle AI Database20%- 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
Topic 2: Identifying Oracle AI Database 26ai Strategy and Autonomous AI Database Basics20%- 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
Topic 3: Building Low-Code Applications and Agentic AI10%- Describe Oracle APEX as Oracle's low-code platform
- Choose the appropriate Agent Factory capability for a no-code AI agent use case
Topic 4: Using Oracle Database Actions and Data Studio Tools15%- Describe Database Actions and core development tools
- Apply Data Studio capabilities to data discovery, integration, analysis, and sharing tasks
Topic 5: Working with AI and Vector Foundations15%- Apply vector distance and indexing concepts to similarity search needs
- Describe AI, AGI, and machine learning foundations
- Explain vectors, embeddings, and the Oracle VECTOR data type
Topic 6: Implementing Select AI and AI Vector Search in Autonomous AI Database20%- Apply AI Vector Search to combined semantic and business-data search scenarios
- Determine how AI Vector Search supports GenAI pipelines and RAG
- Describe Select AI in Autonomous AI Database

Oracle AI Database Foundations Associate Sample Questions:

Question 1

Which example is a common AI use case?

A. Rotating an encryption key on a fixed compliance schedule
B. Detecting fraudulent transactions from behavior patterns
C. Manually assigning a subnet CIDR during database provisioning
D. Listing database tables alphabetically in a schema browser


Question 2

Which offering is positioned for JSON-centric workloads and includes Oracle Database API for MongoDB?

A. Autonomous AI JSON Database
B. Oracle APEX Service
C. Autonomous AI Lakehouse
D. Autonomous AI Transaction Processing only


Question 3

A retailer wants to find products semantically similar to a shopper's description, but only from items that are in stock and sold in the shopper's region. Which design meets this requirement?

A. Use a single SQL statement that combines stock and region filters with vector ranking
B. Use JSON Duality Views because similarity search requires document-only access
C. Use a property graph because vector search cannot work with business predicates
D. Use vector search only, then manually remove unavailable products outside the database


Question 4

Which graph analytics capability is commonly used to rank important vertices based on their relationships?

A. Private endpoint access
B. PageRank
C. Vector distance metric
D. JSON Duality View


Question 5

Which output can Select AI deliver to an application?

A. A graph visualization generated from schema relationships
B. A maintenance recommendation generated from patch history
C. A JSON export file generated from a collection table
D. A result set, a narrative, or the SQL


Solutions:

Question 1
Answer: B
Question 2
Answer: A
Question 3
Answer: A
Question 4
Answer: B
Question 5
Answer: D

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