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Oracle 1z0-1195-26 Exam Syllabus Topics:

SectionObjectives
Identifying Oracle AI Database 26ai Strategy and Autonomous AI Database Basics- Explain modern data characteristics and the Oracle AI Database 26ai converged strategy
- Describe Autonomous AI Database characteristics, offerings, and deployment choices
- Create an Autonomous AI Database Serverless instance for a basic workload
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
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
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
Working with AI and Vector Foundations- Describe AI, AGI, and machine learning foundations
- Apply vector distance and indexing concepts to similarity search needs
- Explain vectors, embeddings, and the Oracle VECTOR data type
Working with JSON and Graph in Oracle AI Database- 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

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Oracle AI Database Foundations Associate Sample Questions (Q31-Q36):

NEW QUESTION # 31
Which graph analytics capability is commonly used to rank important vertices based on their relationships?

Answer: A

Explanation:
Comprehensive and Detailed 100 to 150 words of Explanation From Oracle AI Database topics:
PageRank is the graph-analytics algorithm intended to measure the relative importance of vertices based on graph relationships. Oracle's property-graph documentation describes PageRank as ranking vertices by considering incoming neighbors and the importance of those neighbors. This makes it appropriate for identifying influential or significant entities in connected data, such as important web pages, accounts, people, devices, or other nodes. Private endpoint access is a networking feature, JSON Duality View is a relational-to- JSON representation mechanism, and a vector distance metric measures similarity between vector embeddings. None of those performs graph centrality ranking. Therefore, PageRank is the only option that directly satisfies the requirement to rank vertices according to their relationships. This belongs under
"Working with JSON and Graph in Oracle AI Database." Oracle Docs


NEW QUESTION # 32
How does Oracle APEX help developers build applications with Oracle Database data?

Answer: D

Explanation:
Oracle APEX is Oracle's low-code application development platform and is tightly integrated with Oracle Database. Oracle documentation describes APEX as providing browser-based enterprise application development with direct access to Oracle Database data. Developers configure pages, components, workflows, data sources, reports, forms, and business logic declaratively through App Builder rather than constructing every layer manually.
APEX explicitly embraces SQL. Developers can use SQL and PL/SQL to query and manipulate database- resident information while leveraging declarative components to minimize conventional coding effort.
Because the application engine operates close to the database, applications also inherit Oracle capabilities for transactions, security, concurrency, availability, analytics, and data management. Autonomous AI Database includes Oracle APEX capabilities and allows developers to create APEX workspaces and applications directly against database data.
APEX is therefore neither a disconnected application platform nor a command-line scripting framework. It is also distinct from Graph Studio and graph analytics capabilities used for operations such as community detection. The defining characteristics relevant to this question are its browser-based low-code development environment and native access to Oracle Database through SQL. The uploaded question bank confirms option B.
Study Guide reference: Building Low-Code Applications and Agentic AI - Oracle APEX, App Builder, browser-based development, and SQL integration.


NEW QUESTION # 33
A project team wants a built-in workspace to analyze data assets and support sharing or collaboration after preparation work is complete.
Which choice fits that requirement?

Answer: B

Explanation:
Comprehensive and Detailed 100 to 150 words of Explanation From Oracle AI Database topics:
Data Studio is the correct choice because Oracle positions it as the integrated, web-based data workspace inside Database Actions for loading, discovering, cataloging, transforming, analyzing, sharing, enriching, and automating data workflows. Its Data Analysis capability supports reports and visual analysis, while Data Share and Data Marketplace support governed distribution and collaboration after data preparation. SQL Worksheet is primarily for SQL and PL/SQL execution; Database Users is for user administration; and Private Endpoint configuration is a networking control, not a data-analysis workspace. Therefore, a team that needs to continue from prepared data into analysis and sharing should use Data Studio. This maps directly to the Oracle AI Database topic "Using Oracle Database Actions and Data Studio Tools." Oracle Docs


NEW QUESTION # 34
How can developers create vectors for data objects in Oracle AI Database 26ai?

Answer: B

Explanation:
Oracle AI Database 26ai provides native SQL and PL/SQL facilities for generating vector embeddings from source data. A principal example is the VECTOR_EMBEDDING SQL function, which generates an embedding by applying an embedding or feature-extraction model to an input value. Oracle also provides vector utilities such as UTL_TO_EMBEDDING, DBMS_VECTOR, and DBMS_VECTOR_CHAIN for vectorization, chunking, embedding generation, similarity-search pipelines, and integration with supported embedding providers.
When an embedding model is imported into Oracle AI Database-for example, in supported ONNX form- the database can perform text-to-vector transformation internally. Oracle also supports accessing external embedding providers through REST where appropriate, but sending all data to a separate vector database or service is not a prerequisite. Keeping vectorization and vector storage within Oracle AI Database can reduce data movement and enables embeddings to remain integrated with the underlying business objects.
Vectors also do not need to be manually represented as JSON documents, and Property Graph Views serve a different purpose: modeling entities and relationships. Consequently, the built-in vectorization capability is the direct Oracle-native mechanism described by the question. The uploaded source explicitly identifies option A as correct.
Study Guide reference: Working with AI and Vector Foundations - vector generation, VECTOR_EMBEDDING, vector utilities, embedding models, and native AI Vector Search.


NEW QUESTION # 35
How can developers access JSON Duality Views?

Answer: B

Explanation:
Developers can access JSON-Relational Duality Views using document-oriented interfaces, including Oracle AI Database API for MongoDB , as well as SQL-based database interfaces. The uploaded source explicitly identifies "MongoDB-compatible APIs or SQL" as correct. Oracle documentation confirms that duality views expose relational table data as JSON documents and that applications can interact with the same underlying data either document-centrically or relationally.
With the MongoDB-compatible API, the duality view can be treated as a document collection by applications using familiar MongoDB drivers and development patterns. At the same time, because the authoritative data remains in Oracle relational tables, SQL and other relational capabilities can operate directly on the same information. This is a primary architectural advantage of JSON-Relational Duality.
No export into a separate document store is necessary; doing so would reintroduce data duplication and synchronization problems that duality views are designed to avoid. Graph visualization is unrelated to document access, and although APEX applications can consume database data, APEX-specific PL/SQL packages are not the principal interface defining duality-view access.
Study Guide reference: Working with JSON and Graph in Oracle AI Database - JSON Duality Views, Oracle AI Database API for MongoDB, SQL access, and unified relational/document development.


NEW QUESTION # 36
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