Ultimate Guide to Preparing for the UiPath UiAAP Exam Solve UiAAP Practice Tests to Score High! Here are all the necessary details to pass the UiAAP exam on your first attempt. Get rid of all your worries now and find the details regarding the syllabus, study guide, practice tests, books, and study materials in one place. Through the UiAAP certification preparation, you can learn more on the Automation Professional, and getting the UiPath Certified Professional Agentic Automation Professional (UiAAP) certification gets easy. www.certfun.com PDF Agentic Automation Professional 1 How to Earn the UiPath UiAAP Certification on Your First Attempt? Earning the UiPath UiAAP certification is a dream for many candidates. But, the preparation journey feels difficult to many of them. Here we have gathered all the necessary details like the syllabus and essential UiAAP sample questions to get to the UiPath Certified Professional Agentic Automation Professional (UiAAP) certification on the first attempt. www.certfun.com PDF Agentic Automation Professional 2 UiAAP Agentic Automation Professional 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 www.certfun.com PDF Agentic Automation Professional 3 Let’s Explore the UiPath UiAAP Exam Syllabus in Detail: 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 orchestratio n 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 - i s 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 busi ness 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. www.certfun.com PDF Agentic Automation Professional 4 - Best practices for conte xt 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 ass ertions - 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 fail ed 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 www.certfun.com PDF Agentic Automation Professional 5 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 a ctions 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 parameter s 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 www.certfun.com PDF Agentic Automation Professional 6 - 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 u se 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) www.certfun.com PDF Agentic Automation Professional 7 Experience the Actual Exam Structure with UiAAP Sample Questions: Before jumping into the actual exam, it is crucial to get familiar with the UiPath Certified Professional Agentic Automation Professional (UiAAP) exam structure. For this purpose, we have designed real exam-like sample questions. Solving these questions is highly beneficial to getting an idea about the exam structure and question patterns. For more understanding of your preparation level, go through the Agentic Automation Professional UiAAP practice test questions. Find out the beneficial sample questions below- 01. During process discovery, stakeholders identify several human "touch" steps that delay completion time. When mapping these to agent tasks, what should the developer prioritize? a) Replace all identified human touchpoints with full agent autonomy to eliminate delays regardless of task complexity or risk. b) Evaluate which touchpoints are based on contextual reasoning, then design agent actions and tool integration. c) Preserve all human touch steps to avoid introducing risk into the process. d) Convert human touch steps into additional context instructions without defining actionable agent behaviors. Answer: b 02. In the context of the UiPath platform's evolution, how is agentic automation positioned relative to traditional RPA? a) Agentic automation is described as the next step in automation evolution, enabling software agents to handle non-routinised, complex workflows with autonomy, beyond rule-based RPA b) Agentic automation is simply a rebranding of existing RPA tools, retaining the same deterministic approach with structured logic and fixed rules without introducing any new automation capabilities. c) Agentic automation only adds content-generation features to standard RPA bots but keeps the same workflow model d) Agentic automation fully replaces the need for human-in-the-loop escalation by enabling agents to operate with complete autonomy and make all decisions independently across every enterprise process. Answer: a www.certfun.com PDF Agentic Automation Professional 8 03. If a user input field is optional, how does the Properties Panel in UiPath Maestro handle its value in the returned structured data? a) The field value is ignored and not included in the structured data b) The process automatically fills it with a placeholder text regardless of user action c) The field must always be completed to generate any structured output d) The field can remain empty and returns a null or default value in the structured data Answer: d 04. What is the main advantage of using an inclusive gateway in Maestro flow design? a) It automatically synchronizes all branches regardless of execution. b) It ensures only one branch runs at a time, avoiding conflicts. c) It allows one or several of the branches to execute and merges them safely. d) It enforces simultaneous task execution for faster processing. Answer: c 05. You've built a Conversational agent for customer service and want to embed it into a UiPath App as a side chat panel. What parameter should you use in the IFrame URL to optimize this layout? a) view=sidepanel b) mode=sidechat c) layout=rail d) mode=embedded Answer: d 06. Which approach best supports root cause analysis for failed evaluations? a) Automatically re-run failed evaluations without any manual review b) Ignore evaluator feedback and rely solely on agent execution time c) Focus exclusively on successful runs to maintain dataset integrity d) Review incorrect outputs alongside evaluator assertions to pinpoint logic gaps Answer: d 07. To review how retrieval volume changed over the last week for a specific index, what is the appropriate sequence? a) Set Interval to last week and open the Sync job history chart to count retrievals b) Select the index, set Interval to last week, and analyze the Queries metric for that index c) Select the index and open the ingested documents view to total retrievals per file d) Filter the table by Last sync and compare row counts for the last seven days Answer: b www.certfun.com PDF Agentic Automation Professional 9 08. How should you assess a summary that must capture intent and key facts, not exact wording? a) JSON similarity, because it compares structure, not unstructured narrative fidelity. b) Exact match, because it fails when wording differs despite faithful content coverage. c) LLM-as-a-Judge, because it evaluates meaning and completeness over literal token overlap. d) Trajectory evaluator, because it grades steps, not semantic quality of summaries. Answer: c 09. When designing datasets for edge cases for an agent, what should you prioritize? a) Inputs that challenge the agent's reasoning or tool usage beyond normal patterns b) Inputs that are similar to the most frequent successful cases c) Scenarios that only involve single-step workflows d) Cases that exclude any evaluator-based assertions Answer: a 10. A trajectory evaluator reports low scores despite acceptable final answers. What does this most likely reflect about the agent's reliability? a) The reasoning path or tool usage sequence deviates from the expected execution behavior. b) The final output text does not exactly match the expected string value. c) The evaluation set lacks enough deterministic CSV column mappings to validate the structured output. d) The selected evaluation model failed to load properly during the scoring process, preventing the evaluation from completing successfully. Answer: a