Agentic AI for Oracle AI Database Professional (1Z0-1159-26) Study Guide 2026: Syllabus, Exam Topics & Study Plan -Edureify
๐Ÿ“‹ 2026 Edition  ยท  Updated November 2026

Agentic AI for Oracle AI Database Professional (1Z0-1159-26) Study Guide 2026

Complete exam coverage for the Agentic AI for Oracle AI Database Professional (1Z0-1159-26): syllabus, domains, key topics, study plan and practical exam preparation strategy.

50
Questions
90 min
Duration
68
Passing score
6
Domains
95%
First-attempt pass rate
47K+
Candidates prepared
4.9โ˜…
Average rating
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Your readiness score - take the free diagnostic to unlock your personalised analysis
-%
Overall readiness (locked)
Explain Oracle AI Vector Search Foundations
-
Apply Vector Distance and Indexing
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Build Retrieval-Augmented Generation (RAG) Solutions
-
Design Select AI Agent Solutions
-
Configure Agentic Interfaces and Tool Access
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Govern Private Agent Factory Deployments
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Run 10-Minute Free Diagnostic โ†’
Exam at a Glance

Agentic AI for Oracle AI Database Professional (1Z0-1159-26) Exam Overview

Key facts about the Agentic AI for Oracle AI Database Professional (1Z0-1159-26) exam structure, format and scoring.

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oracle-ai-vector-search-professional
Exam code
๐Ÿ“
50 questions
Total questions
โฑ
90 minutes
Duration
๐ŸŽฏ
68
Passing score
๐Ÿ“‹
6 domains
Exam domains
๐Ÿ†
Certification
Credential type
โ„น๏ธ
Scoring method: Results are reported as a percentage of questions answered correctly; 68% (34 of 50) is required to pass. Results appear in Oracle CertView after the exam.. The exam may include unscored pilot questions - treat every question seriously.
Focus Areas

What should you study for the Agentic AI for Oracle AI Database Professional (1Z0-1159-26) exam?

Start with the domains that make up the Agentic AI for Oracle AI Database Professional (1Z0-1159-26) exam. Use the detailed syllabus below to work through the individual topics.

โš ๏ธ
Common mistake: Candidates often memorise terminology but struggle with scenario-based questions. Focus on when to use what, not just what exists.
🔐
Explain Oracle AI Vector Search Foundations (10%)
Explaining vector embeddings, the VECTOR data type and how AI Vector Search works in Oracle AI Database.
🏗
Apply Vector Distance and Indexing (29%)
Choosing distance metrics and vector indexes and writing similarity queries.
⚡
Build Retrieval-Augmented Generation (RAG) Solutions (24%)
Building RAG pipelines in the database from document loading to LLM response.
💰
Design Select AI Agent Solutions (16%)
Designing in-database agents with Select AI Agent.
🔄
Configure Agentic Interfaces and Tool Access (12%)
Exposing database capabilities to external agents through standard interfaces.
📊
Govern Private Agent Factory Deployments (9%)
Deploying and governing agents with Oracle's Private Agent Factory.
Full Syllabus

Agentic AI for Oracle AI Database Professional (1Z0-1159-26) Exam Syllabus and Topics

The Agentic AI for Oracle AI Database Professional (1Z0-1159-26) exam is divided into 6 domains. Each domain covers specific skills and topics. Expand a domain to see the detailed syllabus.

Vectors and Embeddings
Vector embeddings and similarity concepts
VECTOR data type and dimension formats
Generating embeddings in the database with ONNX models
External embedding providers
AI Vector Search Architecture
Storing vectors alongside relational data
Exact vs. approximate similarity search
Vector memory pool
Use cases for AI Vector Search
~5 questions
10 marks
10% of exam weight
Distance Metrics and Queries
VECTOR_DISTANCE function
Cosine, Euclidean, dot product and Manhattan metrics
Shorthand distance operators
FETCH APPROX similarity queries
Vector Indexes
HNSW in-memory neighbor graph indexes
IVF neighbor partition indexes
Target accuracy settings
Index sizing, memory and maintenance
Hybrid and Multi-Vector Search
Combining vector and relational filters
Hybrid vector indexes with text search
Multi-vector similarity search
Query plan and accuracy checks
~14 questions
29 marks
29% of exam weight
Document Processing
DBMS_VECTOR_CHAIN utilities
Converting documents to text
Chunking strategies and parameters
Embedding chunks in the database
Retrieval and Generation
Retrieving top-k chunks
Prompt augmentation with retrieved context
Calling LLMs from the database
Select AI with RAG and vector indexes
~12 questions
24 marks
24% of exam weight
Select AI Fundamentals
Select AI natural-language-to-SQL
AI profiles and LLM provider credentials
Select AI actions: runsql, showsql, narrate, chat
Metadata and comments for accuracy
Building Agents
DBMS_CLOUD_AI_AGENT package
Defining agents, tasks and teams
Built-in and custom tools
Running and monitoring agent teams
~8 questions
16 marks
16% of exam weight
MCP and External Agents
Autonomous Database MCP Server
Registering database tools for agents
Connecting agent frameworks to Oracle AI Database
Python and LangChain integrations
Secure Tool Access
Least-privilege database users for agents
Network ACLs and credentials
Auditing agent tool calls
Limiting data exposure
~6 questions
12 marks
12% of exam weight
Private Agent Factory
Private Agent Factory purpose and architecture
Building agents without code
Deploying agents on private infrastructure
Data residency considerations
Governance and Security
Access control for agents
Monitoring agent activity
Responsible AI and guardrails
Lifecycle management of agents
~5 questions
9 marks
9% of exam weight
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Study Plan

Agentic AI for Oracle AI Database Professional (1Z0-1159-26) Structured Study Roadmap

Choose a preparation timeline based on how much time you have available. For a plan based on your actual readiness and weak domains, use the personalised Edureify study experience. Get My Training Plan โ†’

Weeks 1-2
Core Services + Highest-Weighted Domain
Deep-dive into the most heavily tested domain. Spend more time here when its exam weight is significantly higher.
Official exam guideDomain 1 completeCore conceptsPractice questions
Week 3
Domain 2 - Hands-on Practice
Focus on scenario-based study and reinforce concepts through practical application where applicable.
Domain 2Scenario walkthroughsHands-on practicePractice questions
Week 4
Domain 3 - Deeper Concepts
Work through complex concepts and decision scenarios.
Domain 3Scenario drillsPractice examReview
Week 5
Remaining Domains + Weak Area Targeting
Identify your weaker domains and spend focused time closing those gaps.
Remaining domainsDiagnosticTargeted reviewStudy notes
Week 6
Full Simulations + Final Preparation
Use timed simulations to test your preparation and review the reasoning behind incorrect answers.
Full mock examsWrong-answer reviewFinal reviewExam logistics
Exam Strategy

Tips to pass Agentic AI for Oracle AI Database Professional (1Z0-1159-26) on your first attempt

Practical advice for applying what you know, managing questions and preparing for exam conditions.

🗓
This exam replaced 1Z0-184 (Oracle AI Vector Search Professional); vector search is still tested, but add the agent topics Select AI Agent and MCP.
🔍
Vector distance and indexing is the largest area: know VECTOR_DISTANCE metrics, HNSW vs. IVF and target accuracy.
⏭
Build a RAG pipeline end to end with DBMS_VECTOR_CHAIN in an Always Free Autonomous Database.
📊
Create a Select AI agent with DBMS_CLOUD_AI_AGENT so tool and task questions feel familiar.
🔁
With 68% on 50 questions, aim for consistent practice scores across every topic.
Recommended Resources

Agentic AI for Oracle AI Database Professional (1Z0-1159-26) Study Resources

Use a focused set of resources alongside the study guide rather than trying to study from everything available.

Official
Official Exam Guide
Start with the authoritative exam objectives and blueprint.
Practice Tests
Agentic AI for Oracle AI Database Professional (1Z0-1159-26) Practice Test
Practice questions with explanations and domain-level performance analysis.
โ†’ Start free practice test
Mock Exam
Agentic AI for Oracle AI Database Professional (1Z0-1159-26) Mock Exam
Timed preparation under realistic exam-style conditions.
โ†’ Take free mock exam
Training
Agentic AI for Oracle AI Database Professional (1Z0-1159-26) Certification Training
Structured preparation with personalised learning support and adaptive practice.
โ†’ Agentic AI for Oracle AI Database Professional (1Z0-1159-26) certification online training
AI Tutor
Agentic AI for Oracle AI Database Professional (1Z0-1159-26) AI Tutor
Get help understanding concepts and work on weak areas with AI-powered learning support.
โ†’ Try Agentic AI for Oracle AI Database Professional (1Z0-1159-26) AI tutor
Reference
Agentic AI for Oracle AI Database Professional (1Z0-1159-26) Cheat Sheet
Quick-reference summaries for final revision.
โ†’ Get free cheat sheet
Diagnostic
Agentic AI for Oracle AI Database Professional (1Z0-1159-26) Readiness Test
Assess your preparation and identify weaker exam domains.
โ†’ Check my readiness
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Avoid brain dumps. Sites selling real or stolen exam questions may violate certification-provider rules and can leave candidates studying outdated material.
Reviews

What candidates say after passing

FAQ

Frequently asked questions about Agentic AI for Oracle AI Database Professional (1Z0-1159-26)

Most candidates with relevant background can structure their preparation over several weeks, depending on their existing knowledge, available study time and exam difficulty. Use the study roadmap above as a starting point and use the readiness diagnostic to identify where you need more preparation.
The guide covers the exam overview, domains, detailed syllabus and topics, study roadmap, exam preparation tips and links to practice, mock, readiness, cheat-sheet, AI Tutor and training resources.
The guide is designed to organize your preparation around the exam syllabus. You should combine it with practice questions and timed simulations so that you can test both your knowledge and your ability to apply it.
Yes. Start with the exam overview and domain breakdown, then work through the detailed topics using the study roadmap. Candidates with less experience may need additional time for foundational concepts.
Take the Edureify readiness diagnostic to assess your preparation and identify the domains where you need to focus more.
Edureify AI can help explain concepts, identify weaker areas from practice performance and support a more personalised preparation process.

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