Oracle 1z0-1195-26 Real Exam Questions & 1z0-1195-26 Latest Version

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Oracle 1z0-1195-26 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Identifying Oracle AI Database 26ai Strategy and Autonomous AI Database Basics20%- Describe Autonomous AI Database characteristics, offerings, and deployment choices
- Explain modern data characteristics and the Oracle AI Database 26ai converged strategy
- Create an Autonomous AI Database Serverless instance for a basic workload
Topic 2: Implementing Select AI and AI Vector Search in Autonomous AI Database20%- Determine how AI Vector Search supports GenAI pipelines and RAG
- Apply AI Vector Search to combined semantic and business-data search scenarios
- Describe Select AI in Autonomous AI Database
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
- Explain vectors, embeddings, and the Oracle VECTOR data type
- Describe AI, AGI, and machine learning foundations
Topic 6: Working with JSON and Graph in Oracle AI Database20%- 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

>> Oracle 1z0-1195-26 Real Exam Questions <<

2026 Valid Oracle 1z0-1195-26: Oracle AI Database Foundations Associate Real Exam Questions

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Oracle AI Database Foundations Associate Sample Questions (Q26-Q31):

NEW QUESTION # 26
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 # 27
What is OSON in Oracle AI Database JSON support?

Answer: D

Explanation:
OSON is Oracle's optimized binary representation for JSON data. Oracle AI Database uses OSON as the native storage representation of the SQL JSON data type. Unlike textual JSON stored in VARCHAR2, CLOB, or BLOB values, native JSON data does not need to be repeatedly parsed from character representation for common processing operations. Oracle states that OSON is optimized for fast query and update operations in both the Oracle AI Database server and supported database clients.
The practical advantage is that applications retain JSON's flexible document model while gaining database- native processing efficiency, SQL integration, indexing capabilities, and transactional control. OSON therefore concerns the physical/optimized representation of JSON data, not the operational scheduling of JSON collections or the visualization of graph structures. It is also unrelated to the SQL Worksheet, which is a Database Actions development interface for executing SQL and PL/SQL. The uploaded question explicitly identifies "An optimized binary format for JSON storage" as the correct answer.
Study Guide reference: Working with JSON and Graph in Oracle AI Database - native JSON data type, OSON binary JSON representation, JSON query and update processing.


NEW QUESTION # 28
A development team wants to receive patches before the regular maintenance schedule so they can validate changes early.
Which maintenance option should they select?

Answer: A

Explanation:
Comprehensive and Detailed 100 to 150 words of Explanation From Oracle AI Database topics:
Oracle Autonomous AI Database supports Regular and Early patch levels or maintenance schedules. The Early option applies patches before the Regular schedule so development and test systems can validate upcoming changes before production systems receive them. Oracle's current documentation states that Early patches are applied one week before the Regular scheduled patch and explicitly recommends Early for development and test databases when organizations want advance validation. Regular follows the normal maintenance cycle. "Late maintenance" and "Application-controlled maintenance" are not the applicable patch-level choices for this Serverless scenario. Because the team specifically wants patches before the regular schedule for early validation, the correct selection is Early maintenance. This falls under Autonomous AI Database operational basics, maintenance, and patch-management concepts. Oracle Docs


NEW QUESTION # 29
A data analyst wants to discover data, load it into the platform, and prepare it for later use without leaving the built-in tools. Which workspace fits this task?

Answer: C

Explanation:
Data Studio is the correct built-in workspace because its purpose directly covers data discovery, loading, preparation, transformation, analysis, cataloging, sharing, and related self-service workflows. The uploaded source designates Data Studio as the correct answer. Oracle's current Autonomous AI Database documentation states that Data Studio can be used to load, discover, catalog, transform, analyze, share, enrich, and automate data workflows through a web-based interface.
Data Studio is available through Database Actions and contains specialized tools including Data Load , Catalog , Data Transforms , Data Analysis , and Data Insights . Data Load can ingest or link data from local files, remote databases, cloud storage, and live feeds, while Catalog supports searching, discovering, inspecting, and managing available data assets.
OCI Vault addresses secrets and encryption-key management rather than data preparation.
VECTOR_DISTANCE is an individual SQL function used for vector comparisons, not an integrated analyst workspace. A Property Graph View defines a graph representation over data but likewise does not provide general discovery and loading functionality.
Study Guide reference: Using Oracle Database Actions and Data Studio Tools - Data Studio, Data Load, Catalog, Data Transforms, and self-service data preparation.


NEW QUESTION # 30
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 # 31
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