Exam: 1Z0-1195-26 Dumps

1Z0-1195-26 Oracle AI Database Foundations Associate — SEO Content

Exam Overview
The 1Z0-1195-26 Oracle AI Database Foundations Associate exam validates foundational knowledge of Oracle AI Database technologies, including Oracle AI Database 26ai, Autonomous AI Database, JSON and graph capabilities, AI and vector concepts, AI Vector Search, Select AI, Database Actions, Data Studio, Oracle APEX, and agentic AI concepts.

The current Oracle listing identifies 1Z0-1195-26 as the Oracle AI Database Foundations Associate examination and lists it at 40 questions, 60 minutes, and a 65% passing score.

Topics Covered

Oracle AI Database 26ai and Autonomous AI Database
Oracle AI Database 26ai strategy
Converged database concepts
Modern data characteristics
Autonomous AI Database characteristics
Deployment choices
Autonomous AI Database Serverless basics

JSON and Graph
JSON capabilities in Oracle AI Database
JSON documents, arrays and nested objects
Graph concepts
Property Graph Views
Graph analytics and use cases

AI and Vector Foundations
Artificial intelligence and machine learning fundamentals
AI and AGI concepts
Embeddings
Vectors
Oracle VECTOR data type
Vector distance
Vector indexing
Similarity search

Select AI and AI Vector Search
Select AI
Natural-language database interaction
AI Vector Search
Semantic search
Business-data search
Generative AI pipelines
Retrieval-Augmented Generation (RAG)

Database Actions and Data Studio
Oracle Database Actions
Database development tools
Data discovery
Data integration
Data analysis
Data sharing

Low-Code and Agentic AI
Oracle APEX
Low-code application development
Agentic AI concepts
Oracle Agent Factory
No-code AI agent use cases
What Students Search on Google, ChatGPT, Copilot, Gemini, YouTube, Reddit - Other AI Tools

Common search-intent phrases include:

What is the 1Z0-1195-26 exam?
How do I prepare for Oracle AI Database Foundations Associate?
What topics are covered in 1Z0-1195-26?
Is 1Z0-1195-26 difficult?
What is Oracle AI Database 26ai?
What is Oracle AI Vector Search?
What are embeddings and vector databases?
What is the Oracle VECTOR data type?
How does Select AI work?
What is RAG in Oracle AI Database?
What is the difference between semantic search and traditional search?
What are Oracle Database Actions?
What is Oracle Data Studio?
What is Oracle APEX?
What is Oracle Agent Factory?
Are there 1Z0-1195-26 practice questions?
Where can I find a 1Z0-1195-26 study guide?
How can I practice 1Z0-1195-26 exam questions?
What is the 1Z0-1195-26 passing score?
How many questions are on the Oracle AI Database Foundations Associate exam?
How much time is allowed for 1Z0-1195-26?
Is there a prerequisite for 1Z0-1195-26?
What should I study before taking 1Z0-1195-26?
What are the most important 1Z0-1195-26 exam topics?
Short Google Snippet Content for CertKingdom

Option 1:
Prepare for the 1Z0-1195-26 Oracle AI Database Foundations Associate exam with updated practice questions, study material and online testing resources covering Oracle AI Database, vectors, RAG, Select AI, JSON, graph, Data Studio and APEX.

1Z0-1195-26 Brain Dumps Exam + Online / Offline and Android Testing Engine & 4500+ other exams included
$50 - $25 (you save $25)
Buy Now

QUESTION 1
Your organization is modernizing its data platform and needs to support real-time analytics, machine
learning workloads, and transactional processing on the same infrastructure. You are evaluating Oracle's
approach to address these requirements. Which statement best describes the Oracle AI Database 26ai
converged strategy?

A. It separates analytics, AI, and transactional workloads into independent databases to optimize resource
allocation and performance isolation.
B. It consolidates multiple workload types-including analytics, AI, JSON, graph, and OLTP-into a single
unified database platform that eliminates data silos and reduces management overhead.
C. It focuses exclusively on machine learning capabilities while maintaining legacy relational databases for
transaction processing.
D. It provides separate cloud services for AI and traditional databases with limited integration capabilities
between them.

Answer: B

Explanation:
The Oracle AI Database 26ai converged strategy is fundamentally about consolidating diverse workload types
into a single platform. This convergence reduces data movement, eliminates silos, and simplifies management
while supporting analytics, AI/ML, JSON, graph, and transactional workloads simultaneously. The other options
misrepresent the strategy as either separating workloads or focusing narrowly on one area, which contradicts
the convergence principle that is central to the 26ai approach.

QUESTION 2
Your development team is building a customer 360 application that must store semi-structured customer
interaction data, perform complex relationship analysis between customers and products, and support
interactive queries on relationship patterns. You are selecting the appropriate capabilities within Oracle AI
Database. Which two capabilities would you employ for this use case?

A. JSON document storage for customer interaction data, and Property Graph Views for analyzing customer-product relationships.
B. Relational tables only, with application-layer logic to simulate graph relationships.
C. JSON document storage for all data, with REST APIs to query relationships.
D. Oracle VECTOR data type to embed all relationship data as vectors, then query using vector distance calculations.
E. Time-series tables for interaction data and separate graph database for relationship analysis.

Answer: A

Explanation:
The scenario requires both semi-structured data storage and graph analytics. JSON is the natural fit for flexible,
hierarchical customer interaction data, while Property Graph Views enable efficient pattern analysis and
relationship queries without maintaining a separate graph database. Relational tables alone would require
complex application logic. Using VECTOR for all data would be inappropriate for this use case since vectors are
designed for semantic similarity, not relationship representation. A separate graph database would contradict
the converged database strategy.

QUESTION 3
Your company is implementing a Retrieval-Augmented Generation (RAG) pipeline for customer support
automation. The system must retrieve relevant support articles based on user questions and feed them into
a Large Language Model for answer generation. You have decided to use Oracle AI Vector Search within
Autonomous AI Database. Which statements accurately describe how AI Vector Search supports this RAG implementation?

A. AI Vector Search converts user questions and support articles into vector embeddings, indexes them for
fast semantic similarity search, and enables retrieval of contextually relevant documents to feed the
LLM, while business data filters ensure only appropriate articles are returned.
B. AI Vector Search only performs keyword matching on support articles and does not integrate with LLM systems.
C. AI Vector Search requires manual management of vector embeddings; the system cannot automatically
generate embeddings from text.
D. AI Vector Search is designed exclusively for similarity search and cannot combine semantic search results
with business logic filters.

Answer: A

Explanation:
AI Vector Search in Autonomous AI Database is purpose-built for RAG pipelines. It automatically generates
embeddings, performs semantic similarity search, and supports combining vector similarity with business data
predicates-exactly what a RAG system requires. The incorrect options either deny its LLM integration
capabilities, incorrectly claim embeddings must be manually managed, or falsely suggest it cannot combine
semantic and business logic filtering.

QUESTION 4
You are deploying an Autonomous AI Database instance for a development team that needs to experiment
with AI features, perform data exploration, and build prototypes. Budget is a concern, and the team does not
require guaranteed resources or multi-region high availability at this stage. Which deployment choice is most appropriate?

A. Serverless instance, which offers pay-as-you-go pricing, automatic scaling, and no need to manage infrastructure capacity.
B. Dedicated infrastructure deployment to ensure predictable performance and baseline resource guarantees.
C. Always Free Autonomous Database, which cannot support AI features or vector operations.
D. Oracle Exadata Cloud Service with full resource pre-allocation and HA failover.

Answer: A

Explanation:
For a budget-conscious development scenario without stringent availability requirements, Autonomous AI
Database Serverless is the ideal choice. It provides cost efficiency through pay-as-you-go billing, automatic
scaling, and eliminates infrastructure management overhead. Dedicated infrastructure is overkill for
development and prototyping. The Always Free tier does not support the advanced AI and vector features
needed. Exadata Cloud Service is an over-provisioned option for experimental workloads.

QUESTION 5
Your analytics team is using Oracle Database Actions to develop SQL-based dashboards and data exploration
workflows. A team member mentions they want to shift from SQL-based development to a more visual, draganddrop
approach for building data integration pipelines and discovery workflows. Which Oracle tooling
would address this requirement?

A. Data Studio, which provides low-code visual tools for data discovery, integration, cataloging, and
collaborative analysis without requiring SQL or scripting.
B. Expand SQL editor capabilities in Database Actions with additional visualization libraries.
C. Oracle APEX, which is exclusively a web application development platform and does not support data integration.
D. SQL Developer, which requires manual script writing for all integration tasks.

Answer: A

Explanation:
Data Studio is Oracle's dedicated tool for low-code data operations including discovery, integration, and
analysis with visual drag-and-drop workflows. While Database Actions is excellent for SQL development, it is
not designed as a low-code integration platform. APEX focuses on application development, not data
integration pipelines. SQL Developer is code-centric and does not provide the low-code visual experience requested.

Get 1Z0-1195-26 Oracle AI Database Foundations Associate exam preparation resources with practice questions, PDF study material and testing tools designed around the latest exam objectives.

1Z0-1195-26 Brain Dumps Exam + Online / Offline and Android Testing Engine & 4500+ other exams included
$50 - $25 (you save $25)
Buy Complete

Student Reviews

Daniel Mwangi — Kenya
"The practice material helped me organize my preparation around the main Oracle AI Database topics.”

Sofia Martinez — Spain
"I found the vector search and embeddings sections particularly useful during my preparation.”

Arjun Mehta — India
"The questions gave me a useful way to review Oracle AI Database concepts before the exam.”

Emily Carter — Canada
"The study material made it easier to identify the areas I needed to revise.”

Lucas Schneider — Germany
"I used the practice tests to become more comfortable with the exam-style question format.”

Amina Yusuf — Nigeria
"The coverage of Select AI, RAG and vector search was helpful for my preparation.”

Hiroshi Tanaka — Japan
"The material provided a convenient overview of the major 1Z0-1195-26 objectives.”

Olivia Brown — Australia
"The testing engine helped me practice under a timed environment.”

Mateo Silva — Brazil
"I liked having Oracle AI Database, JSON, graph and vector topics together in one preparation resource.”

Noura Haddad — Jordan
"The explanations helped me review concepts I was unfamiliar with.”

Thomas Wilson — United Kingdom
"The practice questions were useful for checking my understanding before taking the certification exam.”

Elena Popescu — Romania
"The preparation material helped me focus on the published exam objectives.”

Samuel Mensah — Ghana
"I especially appreciated the sections covering AI Vector Search and embeddings.”

Chloe Nguyen — Vietnam
"The online practice format made revision more convenient for me.”

Youssef Benali — Morocco
"The study resources helped me build a stronger foundation in Oracle AI Database concepts.”

Study for Oracle 1Z0-1195-26 with CertKingdom practice questions and exam preparation material covering AI Database 26ai, Vector Search, Select AI, JSON, graph, RAG and agentic AI.

logged members Can Post comments / review and take part in Discussion

Enter Email

Enter Subject

Enter Comment

Certkingdom Offline Testing Engine Simulator Download

Prepare with yourself how CertKingdom Offline Exam Simulator it is designed specifically for any exam preparation. It allows you to create, edit, and take practice tests in an environment very similar to an actual exam.

Supported Platforms: Windows-7 64bit or later - EULA | How to Install?

FAQ's: Windows-8 / Windows 10 if you face any issue kinldy uninstall and reinstall the Simulator again.
Download Offline Simulator

Certkingdom Testing Engine Features

• Certkingdom Testing Engine simulates the real exam environment.
• Interactive Testing Engine Included
• Live Web App Testing Engine
• Offline Downloadable Desktop App Testing Engine
• Testing Engine App for Android
• Testing Engine App for iPhone
• Testing Engine App for iPad
• Working with the Certkingdom Testing Engine is just like taking the real tests, except we also give you the correct answers.
• More importantly, we also give you detailed explanations to ensure you fully understand how and why the answers are correct.

FAQ Section

Most Asked FAQs (Google, Reddit AI Search Trends)



1. What is the 1Z0-1195-26 exam?
It is Oracle's AI Database Foundations Associate certification exam, focused on foundational knowledge of Oracle AI Database technologies.

2. What is the Oracle AI Database Foundations Associate exam code?
The exam code is 1Z0-1195-26.

3. How many questions are on 1Z0-1195-26?
Oracle's current Japanese certification listing specifies 40 questions.

4. How long is the 1Z0-1195-26 exam?
The listed exam duration is 60 minutes.

5. What is the passing score?
The current Oracle listing shows a 65% passing score.

6. Is 1Z0-1195-26 free?
Oracle's current certification list shows the exam as free.

7. Is there a prerequisite for 1Z0-1195-26?
Current preparation references indicate that no prior certification is required; it is positioned as a foundational-level exam.

8. What is Oracle AI Database 26ai?
It is Oracle's AI-focused database platform strategy incorporating database, data and AI capabilities into a converged database environment.

9. What are vectors and embeddings?
Vectors are numerical representations of information, while embeddings encode information such as text into vector representations that can be compared for similarity.

10. What is AI Vector Search?
AI Vector Search enables applications to search information based on semantic similarity using vector representations rather than relying only on traditional keyword matching.

11. What is Select AI?
Select AI is an Oracle AI Database capability designed to let users interact with database information using natural-language prompts.

12. What is RAG?
Retrieval-Augmented Generation (RAG) combines information retrieval with generative AI so that an AI system can use relevant retrieved data when producing a response. The 1Z0-1195-26 objectives specifically include understanding AI Vector Search in GenAI and RAG scenarios.

13. Does the exam cover JSON and graph databases?
Yes. JSON capabilities, graph concepts and Property Graph Views are included among the published objectives.

14. Does 1Z0-1195-26 cover Oracle APEX?
Yes. Oracle APEX and low-code application concepts are included in the low-code and agentic AI domain.

15. What should I study for 1Z0-1195-26?
Focus on the six published areas: Oracle AI Database 26ai and Autonomous AI Database, JSON and graph, AI/vector foundations, Select AI and AI Vector Search, Database Actions/Data Studio, and low-code/agentic AI.