Use this quick start guide to collect all the information about UiPath UiAAP Certification exam. This study guide provides a list of objectives and resources that will help you prepare for items on the UiPath Agentic Automation Professional (UiAAP) exam. The Sample Questions will help you identify the type and difficulty level of the questions and the Practice Exams will make you familiar with the format and environment of an exam. You should refer this guide carefully before attempting your actual UiPath Certified Professional Agentic Automation Professional (UiAAP) certification exam.
The UiPath UiAAP certification is mainly targeted to those candidates who want to build their career in Automation Professional domain. The UiPath Certified Professional Agentic Automation Professional (UiAAP) exam verifies that the candidate possesses the fundamental knowledge and proven skills in the area of UiPath Agentic Automation Professional.
UiPath UiAAP Exam Summary:
| Exam Name | UiPath Certified Professional Agentic Automation Professional (UiAAP) |
| Exam Code | UiAAP |
| Exam Price | $300 (USD) |
| Duration | 120 mins |
| Number of Questions | 60 |
| Passing Score | 70% |
| Books / Training | Agentic Automation Training Learning plan |
| Schedule Exam | Pearson VUE |
| Sample Questions | UiPath UiAAP Sample Questions |
| Practice Exam | UiPath UiAAP Certification Practice Exam |
UiPath Agentic Automation Professional Exam Syllabus Topics:
| Topic | Details |
|---|---|
| Agentic AI and agentic automation concepts |
- Define agents and differentiate between generative AI and agentic AI - Best practices related to agentic automation: intelligent decision-making, adaptability, goal-oriented execution, multi-task coordination - Explain the concept of agentic orchestration and the synergy between robots, agents and humans |
| Agentic discovery and blueprint design |
- Identify and assess the agentic automation potential of business processes by considering the roles, the knowledge context, the technology landscape, and the as-is state. - Design agent stories through the five characteristics: trigger, instructions, context, human in the loop, and the tools with which it integrates. - Prioritize the agentic automation opportunities by considering feasibility and impact. - Map business process steps to agent tasks. - Identify agent goals and evaluation criteria. - Define and differentiate between system and user prompts. - Map context sources and grounding strategies. - Select the tools appropriate to agent objectives. |
| Context Grounding |
- Describe and use Context grounding. - Use Context Grounding indexes to enhance agent memory by storing and retrieving relevant information. - Define context grounding sources and configuration options. - Configure thresholds and result limits to optimize agent performance for precision and relevance. - Implement the index update strategy. - Monitor indexes queries and jobs. - Differences between ingestion and retrieval methods. - Best practices for context engineering. |
| Escalations |
- Explain the concept of Human-in-the-Loop (HITL) and its importance in balancing agentic automation with human oversight. - Define the logic for raising escalations. - Configure UiPath Action Apps for human-in-the-loop escalations. |
| Agentic evaluations |
- Define evaluations and their role in ensuring agent reliability. - Differentiate between deterministic and model-graded evaluations. - Design evaluation datasets that reflect real-world complexity. - Create input/output pairs covering diverse scenarios. - Identify edge cases and failure scenarios to include in datasets. - Determine when to use strict vs. flexible assertions based on use cases. - Select deterministic assertions - Select model graded assertions - Execute evaluation sets and analyze results for accuracy and reliability. - Interpret evaluation scores for accuracy and reliability. - Use execution traces to identify issues in failed evaluations. - Analyze failed evaluations to identify root causes of errors and patterns. - Apply iterative improvements to enhance agent performance. - Prompt optimizations using evaluations. |
| Agent management |
- Apply governance policies to enable, disable or control agent functionality and ensure compliance. - Assign policies at tenant, group, or user level. - Use agent scores to track agent performance. - Analyze trace data to understand agent behavior during execution. - Monitor agents usage, units consumption, incidents. - Agent Tool / CG Simulations - Best practices for building, publishing and deploying agents |
| Prompt engineering |
- Craft zero-shot prompts for simple tasks. - Design few-shot structured prompts. - Include context, instructions, output format, and constraints. - Apply clarity, specificity, conciseness best practices. - Refine prompts iteratively based on evaluation feedback. - Best practices for prompt engineering. |
| UiPath Platform components and integrations |
- Create agent tools in Studio Web. - Design input/output schema for tools. - Use Run Job in Studio Web. - Create connections using Integration Service. - Map connector actions into agent prompts. - Troubleshoot tool execution using traces and evaluations. - Build and publish API workflows as reusable agent tools. - Expose/invoke existing agents for reuse inside new agents - Integrate MCP assets as tools within an agent. - Use agent tool guardrails. - Data Fabric Integration |
| Agentic orchestration with UiPath Maestro |
- Use BPMN to model business processes and map tasks to robots, agents and humans. - Configure Service Tasks to invoke agents with 'Start and wait for agent'. - Configure Service Tasks to invoke automation workflows from Orchestrator. - Use Send/Receive tasks to call Integration Service connectors and webhooks. - Define global, local, and task-specific variables for process data. - Map input and output parameters between Maestro tasks and agents. - Use expression editor and Scripts to perform data transformations and conditional routing. - Chain multiple agents within one process for complex automations. - Handle asynchronous agent completion events and callbacks. - Configure User Tasks with Action Apps forms for escalations. - Set dynamic assignees, SLAs, and expiry rules for user tasks. - Capture user inputs and return structured data to the process. - Control Flow in Maestro - Instance Management - Define and use API workflows. - Best Practices for Maestro |
| AI Trust Layer |
- Bring your own tenant (LLM gateway) - Use of audit and usage summary. - PII In-Flight Masking |
| Autopilot for everyone |
- Describe when Autopilot for everyone should be used. - Use of Specialized Autopilots. |
| Coded Agents | - Coded Agents |
| Conversational Agents | - Conversational Agents |
| UI Agent | - UI Agent (ScreenPlay) |
To ensure success in UiPath Agentic Automation Professional certification exam, we recommend authorized training course, practice test and hands-on experience to prepare for UiPath Agentic Automation Professional (UiAAP) exam.
