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Exam Information
Official specifications published by Oracle
Exam Format
90 min
50
68%
Professional
Registration
Oracle University (Proctored Online) or online proctoring
1Z0-1155-2 Exam Topics and Domains
1Z0-1155-2 is organized into 6 weighted domains. Expect to work with AI Agent Studio, Fusion Security Console, Fusion Applications APIs, LLM, and more.
1
Identifying and configuring the components of AI Agent Studio
24%
Identify available Agent Tools and their functionalities
Explain the various Agent Tools offered in AI Agent StudioMap tool functionality to business needs
- Explain the various Agent Tools offered in AI Agent Studio
- Map tool functionality to business needs
Configure Agent Tools to support business processes
Set up and customize toolsIntegrate tools into workflow automation
- Set up and customize tools
- Integrate tools into workflow automation
Recognize and list topics relevant to the AI agent's domain
Identify conversation topics based on business requirementsMap topics to user and business scenarios
- Identify conversation topics based on business requirements
- Map topics to user and business scenarios
Create and organize topics to enable effective conversations
Structure topics for clarity and efficiencyCategorize topics for ease of navigation
- Structure topics for clarity and efficiency
- Categorize topics for ease of navigation
Map Business Objects to data sources and applications
Explain business object structureLink business objects to internal/external data sources
- Explain business object structure
- Link business objects to internal/external data sources
Differentiate agent types and design patterns
Explain Supervisor vs Workflow Agents, including hybridSelect agent types and design patterns
- Explain Supervisor vs Workflow Agents, including hybrid
- Select agent types and design patterns
Define and configure multi-agent teams
Describe multi-agent teams and use casesConfigure a multi-agent team
- Describe multi-agent teams and use cases
- Configure a multi-agent team
Identify and differentiate appropriate use cases for Workflow Agents, Supervisor Agents, and Hybrid Agents
Describe the primary business scenarios where Workflow Agents provide optimal benefitsIdentify contexts in which Supervisor Agents are most effectively appliedExplain the conditions under which Hybrid Agents should be utilized for maximum impact
- Describe the primary business scenarios where Workflow Agents provide optimal benefits
- Identify contexts in which Supervisor Agents are most effectively applied
- Explain the conditions under which Hybrid Agents should be utilized for maximum impact
2
Creating and assigning roles and access permissions in AI Agent Studio
12%
Configure admin and user roles within Oracle Fusion AI Agent Studio
Define and configure role-based access controlAssign permissions for secure and compliant agent management
- Define and configure role-based access control
- Assign permissions for secure and compliant agent management
Define the interaction between the new AI Agent Studio (AIAS) and existing technical role hierarchies
Use the Security Console to identify existing technical role hierarchiesAssign the correct role hierarchies with the intended AIAS access levels for developers and end users
- Use the Security Console to identify existing technical role hierarchies
- Assign the correct role hierarchies with the intended AIAS access levels for developers and end users
Identify and grant access to existing functional domains
Grant access to Agent Teams to the intended functional roles in the organization from within the Agent Team settingsIdentify who in an organization needs access to specific Agent Teams, what business roles they require, and how to grant access
- Grant access to Agent Teams to the intended functional roles in the organization from within the Agent Team settings
- Identify who in an organization needs access to specific Agent Teams, what business roles they require, and how to grant access
Identify development personas and required skills for advanced Workflow Agent development
Differentiate implementation team personas involved in advanced Workflow Agent developmentDefine the skill sets associated with advanced Workflow Agent development teams
- Differentiate implementation team personas involved in advanced Workflow Agent development
- Define the skill sets associated with advanced Workflow Agent development teams
3
Configuring and deploying an agent using Guided Journey
6%
Add and configure an agent task within Guided Journey
Add components related to Guided Journey
Add components related to Guided Journey
Deploy Guided Journey
Use VB Studio to modify the page properties by embedding the Guided Journey code
Use VB Studio to modify the page properties by embedding the Guided Journey code
4
Creating effective prompts
15%
Design clear and concise prompts for optimal user understanding
Write prompts that elicit accurate inputsUse user-centric language
- Write prompts that elicit accurate inputs
- Use user-centric language
Structure prompt flows that efficiently guide user interactions
Create logical prompt sequencesManage context retention
- Create logical prompt sequences
- Manage context retention
Iterate prompt wording based on user feedback and testing
Analyze testing outcomesRefine prompt clarity and effectiveness
- Analyze testing outcomes
- Refine prompt clarity and effectiveness
Customize prompts for specific business contexts or roles
Tailor prompts for departments or job functions
Tailor prompts for departments or job functions
Test prompt effectiveness in real-world scenarios
Conduct scenario-based prompt validation
Conduct scenario-based prompt validation
5
Building agents
26%
Configure agent tools, topics, and prompts
Set up agents with appropriate tools and prompt instructions
Set up agents with appropriate tools and prompt instructions
Integrate data sources and business objects into agent processes
Connect agents to internal and external APIsEnsure secure and reliable data integration
- Connect agents to internal and external APIs
- Ensure secure and reliable data integration
Develop and organize topics to cover user scenarios
Create effective topic mapsEnsure topics address user queries
- Create effective topic maps
- Ensure topics address user queries
Test agent interactions to ensure accurate responses
Validate responses against requirementsRefine workflows based on errors
- Validate responses against requirements
- Refine workflows based on errors
Understand the role of guardrails in delivering trustworthy agents
Describe the technical, contractual, and policy guardrails
Describe the technical, contractual, and policy guardrails
Use nodes and agentic workflow patterns
Identify Workflow Agent node types and their rolesImplement core workflow design patterns
- Identify Workflow Agent node types and their roles
- Implement core workflow design patterns
Incorporate Human-in-the-loop into agent designs
Identify when human-in-the-loop (HITL) is required and design the handoff/approval flowConfigure HITL in an agent scenario
- Identify when human-in-the-loop (HITL) is required and design the handoff/approval flow
- Configure HITL in an agent scenario
Extend and integrate agents
Connect to an external LLM and describe considerationsConnect to communication applications for agent interactions and describe considerationsDefine MCP tool capability and identify use casesExpand agent team access with /invoke Async APIDefine and add external REST tool
- Connect to an external LLM and describe considerations
- Connect to communication applications for agent interactions and describe considerations
- Define MCP tool capability and identify use cases
- Expand agent team access with /invoke Async API
- Define and add external REST tool
Workflow Agent deployment
Configure and validate Workflow Agent initiation
Configure and validate Workflow Agent initiation
6
Testing, evaluating, and optimizing agent performance
17%
Monitor prompt performance metrics to drive continuous improvement
Use analytics to detect prompt issuesMake data-driven improvements
- Use analytics to detect prompt issues
- Make data-driven improvements
Develop comprehensive test scenarios for agent interactions and execute end-to-end tests
Understand Agent Quality EvaluationUnderstand Agent TracingManage Agent Quality Evaluation
- Understand Agent Quality Evaluation
- Understand Agent Tracing
- Manage Agent Quality Evaluation
Analyze performance metrics from agent logs
Interpret logs for troubleshooting and optimization
Interpret logs for troubleshooting and optimization
Evaluate actual performance against predefined benchmarks
Benchmark with real-world vs. expected results
Benchmark with real-world vs. expected results
Monitor agent performance over time for ongoing optimization
Set up automated monitoringIterate and improve based on long-term trends
- Set up automated monitoring
- Iterate and improve based on long-term trends
Evaluate the agent design from within the AI Agent Studio debug window
Evaluate the time an agent takes to respondAssess the number of tokens used and tools called
- Evaluate the time an agent takes to respond
- Assess the number of tokens used and tools called
How do I earn this certification?
Passing 1Z0-1155-2 earns the Oracle Fusion AI Agent Studio Certified Developer Professional - Rel 26-2 certification. It sits in the Oracle Fusion Applications - AI Agent Studio track.
Current Level Exams
1Z0-1155-1 - Oracle Fusion AI Agent Studio Developer Professional (earlier release)
Practice with Precision
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How to study for this exam?
The most effective way to prepare for 1Z0-1155-2 is by using the PlanetCert Simulator to practice questions and review detailed explanations.
What's changed on this exam?
Current Status
- ACTIVE
- Last content update: Rel 26-2
Updates
Oracle Fusion AI Agent Studio (AIAS) Rel 26-2 Exam topics cover Agent Tools, multi-agent teams, Guided Journey (VB Studio deployment), guardrails, HITL, MCP tools, /invoke Async API, Agent Quality Evaluation, and Agent Tracing.
Who should take this exam?
- Foundational knowledge of Generative AI
- Fusion AI Agent Studio basics
- Large Language Model (LLM) basics
- Prompt engineering
- Fusion Applications business objects and APIs
- Retrieval-augmented generation (RAG) and function calling