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| Section | Objectives |
|---|---|
| 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 |
| 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 |
| Working with AI and Vector Foundations | - Describe AI, AGI, and machine learning foundations - Explain vectors, embeddings, and the Oracle VECTOR data type - Apply vector distance and indexing concepts to similarity search needs |
| 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 |
| Working with JSON and Graph in Oracle AI Database | - Explain JSON and Oracle AI Database JSON capabilities - Distinguish when graph capabilities and Property Graph Views fit a business use case - Describe core graph concepts and graph analytic capabilities |
| 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 |
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NEW QUESTION # 16
A team needs faster similarity search at scale and accepts approximate top-K results. Which feature should they use?
Answer: D
NEW QUESTION # 17
A company must control the lifecycle of its database encryption keys to satisfy regulatory requirements.
Which key management option should it use for the Oracle Autonomous AI Database instance?
Answer: B
Explanation:
Customer-managed encryption keys integrated with OCI Vault are appropriate when an organization requires direct control over encryption-key lifecycle operations for security, governance, or regulatory compliance.
Autonomous AI Database uses Transparent Data Encryption to protect database data and supports both Oracle-managed and customer-managed master encryption keys. With the default Oracle-managed approach, Oracle performs key-management operations. With customer-managed keys, the organization creates and manages a master key in a supported external key-management system such as OCI Vault.
OCI Vault centralizes secure key storage and enables the customer to control operations such as key creation, rotation, lifecycle governance, access policy, and auditing. Autonomous AI Database then uses the customer- managed master encryption key as part of the TDE key hierarchy. This directly addresses the stated requirement for organizational control of encryption keys. Public certificates are intended for network identity and TLS-related functions rather than TDE key lifecycle management. APEX workspace configuration is unrelated to database master encryption keys. Oracle-managed keys provide strong encryption but do not satisfy a requirement specifically calling for customer-controlled lifecycle management.
Study Guide reference: Identifying Oracle AI Database 26ai Strategy and Autonomous AI Database Basics - Autonomous AI Database security, TDE, OCI Vault, and customer-managed encryption keys.
NEW QUESTION # 18
What does the Oracle VECTOR data type enable?
Answer: B
Explanation:
The Oracle VECTOR data type provides native database storage for vector values used by AI and machine- learning workloads. Oracle AI Database 26ai represents vectors as ordered numerical values with defined dimensionality and element formats. This allows vector embeddings representing text, images, audio, documents, or other content to reside directly alongside conventional business data rather than requiring a separate specialized vector database.
Native vector storage is foundational to Oracle AI Vector Search. Once embeddings are stored in VECTOR columns, SQL can apply vector-distance functions, perform exact or approximate similarity searches, create vector indexes, and combine semantic rankings with relational, JSON, text, spatial, or graph predicates.
Oracle emphasizes that keeping vectors with business data reduces data movement, lowers architecture complexity, and permits similarity searches against current transactional information.
The VECTOR type does not provide APEX page design-that is an Oracle APEX function. It does not universally validate JSON schemas, nor does it automatically convert relational tables into graph structures.
Those are separate Oracle Database capabilities. Consequently, native storage of vector values precisely describes its core function, consistent with the uploaded question source.
Study Guide reference: Working with AI and Vector Foundations - VECTOR data type, vector embeddings, vector columns, and AI Vector Search.
NEW QUESTION # 19
How is Oracle APEX described?
Answer: C
Explanation:
Oracle APEX is Oracle's low-code application development platform , making option C correct. The uploaded source explicitly identifies this characterization. Oracle's current documentation defines APEX as a complete low-code platform for rapidly building secure, scalable enterprise applications. Developers work primarily through the browser-based App Builder and configure declarative components, pages, features, and data sources rather than manually writing the entire application stack.
APEX is built as part of Oracle Database and provides direct access to Oracle Database data. Its model-driven architecture allows developers to use declarative metadata for common application functionality while retaining SQL, PL/SQL, JavaScript, REST, and other extension mechanisms when custom logic is necessary.
The incorrect options describe entirely different Oracle technologies. Graph analytics and property graphs are Oracle Database graph capabilities, not the definition of APEX. Encryption-key lifecycle management belongs to database security and services such as OCI Vault. Oracle's optimized binary representation for JSON storage is OSON.
The exam-level distinction is therefore direct: APEX addresses rapid application creation, especially data- centric enterprise applications, through a browser-based low-code development model tightly integrated with Oracle Database.
Study Guide reference: Building Low-Code Applications and Agentic AI - Oracle APEX, low-code development, App Builder, and database-driven applications.
NEW QUESTION # 20
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: A
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 # 21
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