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UiPath UiPath-AAPv1 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Coded Agents | - Coded Agents |
| Topic 2: Context Grounding | - Using context grounding indexes to store and retrieve relevant information for agent memory - Context grounding concepts and implementation - Monitoring index queries and jobs - Context engineering best practices - Implementing index update strategies - Configuring thresholds and result limits for precision and relevance - Context grounding sources and configuration options - Ingestion and retrieval methods |
| Topic 3: UI Agent | - UI Agent (ScreenPlay) |
| Topic 4: Autopilot for Everyone | - Using specialized Autopilots - Determining when to use Autopilot for Everyone |
| Topic 5: Agentic discovery and blueprint design | - Differentiating system prompts and user prompts - Designing agent stories using triggers, instructions, context, human-in-the-loop requirements, and tools - Selecting tools appropriate to agent objectives - Mapping context sources and grounding strategies - Mapping business process steps to agent tasks - Assessing agentic automation opportunities in business processes - Defining agent goals and evaluation criteria - Prioritizing automation opportunities based on feasibility and impact |
| Topic 6: Prompt engineering | - Iteratively refining prompts based on evaluation feedback - Including context, instructions, output formats, and constraints - Crafting zero-shot prompts for simple tasks - Designing structured few-shot prompts - Prompt engineering best practices - Applying clarity, specificity, and conciseness |
| Topic 7: Agentic orchestration with UiPath Maestro | - Configuring Service Tasks to invoke automation workflows from Orchestrator - Chaining multiple agents within a process - Maestro control flow - Configuring dynamic assignees, SLAs, and expiry rules for user tasks - Mapping input and output parameters between Maestro tasks and agents - Configuring User Tasks with Action Apps forms for escalations - Defining and using API workflows - Instance management - Capturing user inputs and returning structured data to processes - Using Send and Receive tasks with Integration Service connectors and webhooks - Maestro best practices - Defining global, local, and task-specific process variables - Handling asynchronous agent completion events and callbacks - Using BPMN to model business processes and assign tasks to robots, agents, and humans - Using the expression editor and scripts for data transformation and conditional routing - Configuring Service Tasks to invoke agents using Start and wait for agent |
| Topic 8: AI Trust Layer | - Using audit logs and usage summaries - Using a custom tenant as an LLM gateway - Personally identifiable information masking in transit |
| Topic 9: Agentic AI and agentic automation concepts | - Agentic orchestration and collaboration between robots, agents, and humans - Best practices for agentic automation, including intelligent decision-making, adaptability, goal-oriented execution, and multi-task coordination - Definitions of agents and distinctions between generative AI and agentic AI |
| Topic 10: UiPath Platform components and integrations | - Reusing existing agents within new agents - Troubleshooting tool execution using traces and evaluations - Applying agent tool guardrails - Creating agent tools in Studio Web - Using Run Job in Studio Web - Integrating MCP assets as agent tools - Building and publishing API workflows as reusable agent tools - Mapping connector actions into agent prompts - Creating connections through Integration Service - Designing input and output schemas for tools - Data Fabric integration |
| Topic 11: Agent management | - Analyzing execution traces to understand agent behavior - Assigning policies at tenant, group, and user levels - Best practices for building, publishing, and deploying agents - Using agent scores to track performance - Agent tool and context grounding simulations - Applying governance policies to enable, disable, and control agent functionality - Monitoring agent usage, unit consumption, and incidents |
| Topic 12: Escalations | - Configuring UiPath Action Apps for human-in-the-loop escalations - Defining escalation logic - Human-in-the-loop concepts and the importance of human oversight |
| Topic 13: Conversational Agents | - Conversational Agents |
| Topic 14: Agentic evaluations | - Executing evaluation sets and analyzing accuracy and reliability - Selecting strict or flexible assertions based on use cases - Analyzing evaluation failures to identify root causes and error patterns - Evaluation concepts and their role in agent reliability - Designing evaluation datasets that reflect real-world complexity - Interpreting evaluation scores - Creating input-output pairs for diverse scenarios - Identifying edge cases and failure scenarios - Selecting deterministic and model-graded assertions - Differences between deterministic and model-graded evaluations - Using execution traces to troubleshoot failed evaluations - Optimizing prompts using evaluation results - Iteratively improving agent performance |
