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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Using Oracle Database Actions and Data Studio Tools | 15% | - Describe Database Actions and core development tools - Apply Data Studio capabilities to data discovery, integration, analysis, and sharing tasks |
| Topic 2: Working with AI and Vector Foundations | 15% | - 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 |
| Topic 3: Working with JSON and Graph in Oracle AI Database | 20% | - Explain JSON and Oracle AI Database JSON capabilities - Describe core graph concepts and graph analytic capabilities - Distinguish when graph capabilities and Property Graph Views fit a business use case |
| Topic 4: 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 |
| Topic 5: Identifying Oracle AI Database 26ai Strategy and Autonomous AI Database Basics | 20% | - 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: Implementing Select AI and AI Vector Search in Autonomous AI Database | 20% | - Determine how AI Vector Search supports GenAI pipelines and RAG - Describe Select AI in Autonomous AI Database - Apply AI Vector Search to combined semantic and business-data search scenarios |
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NEW QUESTION # 29
What does a JSON Duality View enable?
Answer: D
Explanation:
A JSON-Relational Duality View allows applications to work with relationally stored information as JSON documents without maintaining a separate document-store copy. The uploaded source identifies this exact capability as the correct answer. Oracle AI Database documentation confirms that a duality view maps relational table data to hierarchical JSON documents that are materialized on demand rather than separately stored. Applications can therefore access and, when permitted, modify the same underlying information either through relational tables or through its document representation.
This architecture preserves relational advantages such as normalization, integrity constraints, SQL processing, and transactional consistency while giving document-oriented applications a natural JSON interface. A change made through an updatable JSON document is reflected in the underlying relational data, and relational changes are correspondingly visible through the duality view.
The feature does not eliminate SQL, transform property graphs into vector indexes, or require synchronization with an independent document database. Oracle specifically positions JSON-Relational Duality as a mechanism for combining relational and document development models around one authoritative data representation.
Study Guide reference: Working with JSON and Graph in Oracle AI Database - JSON-Relational Duality Views, relational storage, and document-oriented access.
NEW QUESTION # 30
In a property graph, what are vertices and edges?
Answer: C
NEW QUESTION # 31
Which set of tools is specifically highlighted as available from Database Actions?
Answer: B
Explanation:
The Database Actions environment specifically includes SQL, Data Modeler, REST, JSON, Oracle Machine Learning, and Oracle APEX , making option C correct. The uploaded assessment identifies the same tool set. Oracle's current Autonomous AI Database documentation describes Database Actions as a web- based interface for development, data tooling, administration, and monitoring. Its Development area includes SQL, Data Modeler, REST, JSON, Charts, Scheduling, Oracle Machine Learning, Spatial Studio, Graph Studio, and Oracle APEX.
SQL provides the browser-based worksheet for SQL and PL/SQL execution. Data Modeler supports database modeling and diagramming. REST provides tools for database REST services and APIs. JSON provides facilities for working with JSON collections and documents. Oracle Machine Learning exposes integrated ML development capabilities, while APEX launches Oracle's low-code application-development environment.
Oracle's Machine Learning documentation likewise identifies Database Actions as the entry point for Oracle Machine Learning.
The remaining choices largely describe OCI infrastructure or security-management services rather than Database Actions development tools. Compute, block storage, load balancing, IAM, billing, private endpoints, and Vault are managed elsewhere in OCI.
Study Guide reference: Using Oracle Database Actions and Data Studio Tools - Database Actions Launchpad and Development tools.
NEW QUESTION # 32
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?
Answer: D
Explanation:
Database Actions is the correct centralized entry point because it is the browser-based development and administration environment bundled with Autonomous AI Database. Oracle documents Database Actions as providing development, data, administration, monitoring, and download capabilities. Its Development area includes SQL, Data Modeler, REST, JSON, Oracle Machine Learning, Graph Studio, and Oracle APEX, which directly matches the developer's requirement for a single integrated workspace. The SQL worksheet supports SQL and PL/SQL development, while REST and JSON tools expose database data through modern application interfaces. APEX provides low-code application development, and Oracle Machine Learning integrates analytical and machine-learning workflows with database-resident data.
The other choices are individual configuration concepts rather than comprehensive developer entry points.
Customer-managed key rotation relates to encryption-key lifecycle management; vector target accuracy controls approximate vector-search behavior; and a Property Graph View is a graph modeling construct.
Therefore, none provides the breadth of tooling required. The uploaded question set likewise identifies Database Actions as the correct response.
Study Guide reference: Using Oracle Database Actions and Data Studio Tools - Database Actions development tools and integrated workspaces.
NEW QUESTION # 33
A team already uses Database Actions and now needs the part of the environment focused on discovery, load, integration, and cataloging. Which workspace should they open?
Answer: A
Explanation:
Data Studio is the Database Actions workspace specifically designed for data-oriented activities such as loading, discovering, cataloging, transforming, integrating, analyzing, and preparing data. The uploaded source marks Data Studio as the correct option. Oracle's current Autonomous AI Database documentation states that Data Studio enables users to load, discover, catalog, transform, analyze, share, enrich, and automate data workflows through a web-based interface.
Data Studio contains purpose-built tools including Data Load , Catalog , Data Transforms , Data Analysis
, and Data Insights . Catalog provides a central mechanism for browsing, searching, discovering, inspecting, and acting on local or connected data assets, while Data Transforms supports graphical data integration and transformation workflows.
The alternatives perform different functions. Database Users handles user administration. Graph Studio focuses on graph modeling and analytics. SQL Worksheet provides interactive execution of SQL and PL/SQL rather than an integrated discovery, cataloging, and loading environment.
Therefore, when the question combines the terms discovery, load, integration, and cataloging , Data Studio is the definitive Oracle workspace.
Study Guide reference: Using Oracle Database Actions and Data Studio Tools - Data Studio, Data Load, Catalog, and Data Transforms.
NEW QUESTION # 34
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