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| Section | Objectives |
|---|---|
| Topic 1: Implementing Select AI and AI Vector Search in Autonomous AI Database | - 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 |
| Topic 2: Working with AI and Vector Foundations | - 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 |
| Topic 3: 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 4: 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 5: Identifying Oracle AI Database 26ai Strategy and Autonomous AI Database Basics | - 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 6: Using Oracle Database Actions and Data Studio Tools | - Describe Database Actions and core development tools - Apply Data Studio capabilities to data discovery, integration, analysis, and sharing tasks |
Question 1
What does the Oracle VECTOR data type enable?
A. Automatic conversion of every table into a graph model
B. Browser-based low-code page design
C. Automatic JSON schema validation for all APIs
D. Native storage of vector values in the database
Question 2
How does Oracle APEX help developers build applications with Oracle Database data?
A. It is a separate application platform that cannot use Oracle Database data
B. It is browser-based and uses native SQL data access
C. It is primarily a command-line framework for database-only scripts
D. It is a graph analytics workspace for community detection
Question 3
Which offering is positioned for JSON-centric workloads and includes Oracle Database API for MongoDB?
A. Autonomous AI Transaction Processing only
B. Autonomous AI Lakehouse
C. Oracle APEX Service
D. Autonomous AI JSON Database
Question 4
Which graph analytics capability is commonly used to rank important vertices based on their relationships?
A. Vector distance metric
B. JSON Duality View
C. Private endpoint access
D. PageRank
Question 5
Which pair correctly matches an AI domain to an example?
A. Vision - image classification
B. Speech - product demand prediction
C. Forecasting - entity extraction from text
D. Language - object detection in photos
Solutions:
| Question 1 Answer: D | Question 2 Answer: B | Question 3 Answer: D | Question 4 Answer: D | Question 5 Answer: A |
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