Oracle 1Z0-1155-2 Certification Exam Syllabus

• 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 tools
• Integrate tools into workflow automation

- Recognize and list topics relevant to the AI agent's domain

• 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 efficiency
• Categorize topics for ease of navigation

- Map Business Objects to data sources and applications

• Explain business object structure
• Link business objects to internal/external data sources

- Differentiate 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 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 benefits
• Identify contexts in which Supervisor Agents are most effectively applied
• Explain the conditions under which Hybrid Agents should be utilized for maximum impact

• 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 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 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 development
• Define the skill sets associated with advanced Workflow Agent development teams

• Add components related to Guided Journey

- Deploy Guided Journey

• Use VB Studio to modify the page properties by embedding the Guided Journey code

• Write prompts that elicit accurate inputs
• Use user-centric language

- Structure prompt flows that efficiently guide user interactions

• Create logical prompt sequences
• Manage context retention

- Iterate prompt wording based on user feedback and testing

• Analyze testing outcomes
• Refine prompt clarity and effectiveness

- Customize prompts for specific business contexts or roles

• Tailor prompts for departments or job functions

- Test prompt effectiveness in real-world scenarios

• Conduct scenario-based prompt validation

• Set up agents with appropriate tools and prompt instructions

- Integrate data sources and business objects into agent processes

• Connect agents to internal and external APIs
• Ensure secure and reliable data integration

- Develop and organize topics to cover user scenarios

• Create effective topic maps
• Ensure topics address user queries

- Test agent interactions to ensure accurate responses

• 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

- Use nodes and agentic workflow 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 flow
• Configure HITL in an agent scenario

- Extend and integrate agents

• 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

• 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 Evaluation
• Understand Agent Tracing
• Manage Agent Quality Evaluation

- Analyze performance metrics from agent logs

• Interpret logs for troubleshooting and optimization

- Evaluate actual performance against predefined benchmarks

• Benchmark with real-world vs. expected results

- Monitor agent performance over time for ongoing optimization

• 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 respond
• Assess the number of tokens used and tools called