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UiPath UiPath-AAPv1 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Prompt engineering | - Iteratively refining prompts based on evaluation feedback - Designing structured few-shot prompts - Including context, instructions, output formats, and constraints - Applying clarity, specificity, and conciseness - Prompt engineering best practices - Crafting zero-shot prompts for simple tasks |
| UiPath Platform components and integrations | - Applying agent tool guardrails - Troubleshooting tool execution using traces and evaluations - Reusing existing agents within new agents - Creating agent tools in Studio Web - Mapping connector actions into agent prompts - Designing input and output schemas for tools - Data Fabric integration - Creating connections through Integration Service - Using Run Job in Studio Web - Building and publishing API workflows as reusable agent tools - Integrating MCP assets as agent tools |
| Agentic evaluations | - Identifying edge cases and failure scenarios - Iteratively improving agent performance - Selecting strict or flexible assertions based on use cases - Evaluation concepts and their role in agent reliability - Differences between deterministic and model-graded evaluations - Executing evaluation sets and analyzing accuracy and reliability - Analyzing evaluation failures to identify root causes and error patterns - Using execution traces to troubleshoot failed evaluations - Designing evaluation datasets that reflect real-world complexity - Creating input-output pairs for diverse scenarios - Selecting deterministic and model-graded assertions - Optimizing prompts using evaluation results - Interpreting evaluation scores |
| 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 |
| UI Agent | - UI Agent (ScreenPlay) |
| Agentic discovery and blueprint design | - Prioritizing automation opportunities based on feasibility and impact - Designing agent stories using triggers, instructions, context, human-in-the-loop requirements, and tools - Mapping business process steps to agent tasks - Selecting tools appropriate to agent objectives - Assessing agentic automation opportunities in business processes - Defining agent goals and evaluation criteria - Mapping context sources and grounding strategies - Differentiating system prompts and user prompts |
| Agent management | - Best practices for building, publishing, and deploying agents - Monitoring agent usage, unit consumption, and incidents - Applying governance policies to enable, disable, and control agent functionality - Analyzing execution traces to understand agent behavior - Assigning policies at tenant, group, and user levels - Agent tool and context grounding simulations - Using agent scores to track performance |
| Escalations | - Configuring UiPath Action Apps for human-in-the-loop escalations - Human-in-the-loop concepts and the importance of human oversight - Defining escalation logic |
| Agentic orchestration with UiPath Maestro | - Using the expression editor and scripts for data transformation and conditional routing - Configuring dynamic assignees, SLAs, and expiry rules for user tasks - Instance management - Handling asynchronous agent completion events and callbacks - Using Send and Receive tasks with Integration Service connectors and webhooks - Defining and using API workflows - Maestro best practices - Mapping input and output parameters between Maestro tasks and agents - Capturing user inputs and returning structured data to processes - Maestro control flow - Configuring User Tasks with Action Apps forms for escalations - Using BPMN to model business processes and assign tasks to robots, agents, and humans - Defining global, local, and task-specific process variables - Configuring Service Tasks to invoke agents using Start and wait for agent - Configuring Service Tasks to invoke automation workflows from Orchestrator - Chaining multiple agents within a process |
| Conversational Agents | - Conversational Agents |
| AI Trust Layer | - Using a custom tenant as an LLM gateway - Using audit logs and usage summaries - Personally identifiable information masking in transit |
| Autopilot for Everyone | - Using specialized Autopilots - Determining when to use Autopilot for Everyone |
| Coded Agents | - Coded Agents |
| Context Grounding | - Context grounding concepts and implementation - Implementing index update strategies - Using context grounding indexes to store and retrieve relevant information for agent memory - Configuring thresholds and result limits for precision and relevance - Context engineering best practices - Context grounding sources and configuration options - Ingestion and retrieval methods - Monitoring index queries and jobs |
Frequently Asked Questions: UiPath Agentic Automation Professional Exam
The UiPath Agentic Automation Professional exam requires 70% to pass, and registration costs USD 300 (plus any applicable taxes). A failed attempt means paying the same fee again — a readiness check with the ExamCost engines before booking is the cheaper option.
UiPath recommends these training resources for the UiPath Agentic Automation Professional exam:
Follow the training with steady self-testing — the 108 practice questions from ExamCost help you apply theory and fill any gaps the training leaves.
The UiPath-AAPv1 exam is a UiPath certification exam validating the UiPath Agentic Automation Professional syllabus shown above. It belongs to these credential paths: UiPath Certified Professional Agentic Automation Professional, UiPath Agentic Automation Associate (UiPath-AAAv1). Candidates in 2026 prepare for it with ExamCost's 108 practice questions, available as a printable PDF, a Windows Desktop Test Engine, and an Online Test Engine — three versions of the same materials.
ExamCost issues a full refund if you take the UiPath Agentic Automation Professional exam within 60 days of purchase and do not pass. The policy does not apply if the exam is taken within 3 days of purchase, if the exam was never actually taken, or to free materials or expired orders, and the candidate name must match the payer name. Submit a scan of your enrollment slip and the official Score Report PDF within 2 days of the exam; claims are processed within 7 days. Alternatively, exchange for two free exam products of equal value and keep your original update service. Orders arrive by email within 1 minute — contact support if nothing arrives within 2 hours.
Available at Pearson VUE test centers and through online proctored testing. The exam uses multiple-choice, drag-and-drop, and sequencing question formats. Exam duration is 120 minutes. The official exam description does not specify the total number of questions or domain weight percentages. Register for the UiPath Agentic Automation Professional exam through these official channels:
After booking, ExamCost delivers your practice questions within 1 minute — preparation starts the same day.
The official UiPath page publishes the current question count and duration; review it before your test date.
The official UiPath Agentic Automation Professional outline defines 14 domains. The leading three are Escalations, Agentic evaluations, and Prompt engineering. The full list is in the topics section above, and ExamCost's 108 practice questions cover each one.
Three versions of the same study materials: a printable, expert-prepared PDF with free demo download and instant access; a Desktop Test Engine for Windows that simulates the real exam with two practice modes and works offline; and an Online Test Engine for any browser on Windows, Mac, Android, and iOS with test history and performance review. All 108 practice questions are identical across versions. Every purchase includes 365 days of free updates — whenever a new version is compiled, it is sent to you automatically — plus a 50% renewal discount afterward and unlimited computer installations.
No mandatory prerequisite exam is specified in the official exam description. UiPath recommends familiarity with end-to-end automation workflow design, agent validation, guardrails, governance, and monitoring, as well as hands-on experience building and testing UiPath solutions. Passing UiPath Agentic Automation Associate is recommended for candidates seeking the next certification level but is not stated as a mandatory prerequisite. Since requirements change over time, confirm the latest on the official UiPath exam page before scheduling.
UiPath Agentic Automation Professional Sample Questions:
An agent has several tools configured, but during testing it takes actions unrelated to its defined objective.
What adjustment would most effectively improve alignment with that objective?
- A. Refine the agent's instructions while keeping all existing tools available for flexibility.
- B. Increase the detail of the objective without modifying the current tool selection.
- C. Remove tools whose capabilities extend beyond what is required to fulfill the defined objective.
- D. Add complementary tools so the agent can better determine which action is appropriate.
Correct Answer: C 🗳️
Explanation: Only visible for ExamCost members. You can sign-up / login (it's free).
During the automation potential identification phase, which combination of factors should be analyzed to properly understand process variations?
- A. Annual labor effort and process volume trends, while assuming all variations follow similar patterns
- B. Process steps for each pattern and the number of human touch points, without considering error rates or completion duration factors
- C. Process steps for each pattern, including systems used, human touch steps, completion duration factors, and error rates per step
- D. Consumer satisfaction metrics and output format preferences, without mapping the specific steps in each process variation
Correct Answer: C 🗳️
Explanation: Only visible for ExamCost members. You can sign-up / login (it's free).
An agent needs to extract high-confidence data from structured documents and optionally permit human review before continuing.
Which tool configuration meets this need?
- A. Add an IXP project as a tool and configure a Document Validation Task escalation for human validation of extracted data.
- B. Add a Web Search tool and filter results to validate extracted document fields.
- C. Use DeepRAG with citations enabled to automatically correct low-confidence extracted values.
- D. Add the Analyze Files tool and rely on token limits to determine when human validation is required.
Correct Answer: A 🗳️
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What is the primary risk of using strict assertions in creative or generative tasks?
- A. It may incorrectly flag valid outputs as failures due to minor variations
- B. It ensures outputs are always consistent and predictable
- C. It guarantees higher evaluation scores for all runs
- D. It reduces the need for evaluator conditions in datasets
Correct Answer: A 🗳️
Explanation: Only visible for ExamCost members. You can sign-up / login (it's free).
When a deployed agent is added as a tool, which outcome best describes how its schemas are made available?
- A. The input and output schema are automatically exposed, excluding any file-based arguments for the tool
- B. The input and output schema are automatically exposed, including any file-based arguments for the tool
- C. The input schema is automatically exposed, while the output schema is described only in prompts
- D. The output schema is automatically exposed, while the input schema is derived from chat content
Correct Answer: B 🗳️
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