UiPath UiPath-AAPv1 Exam : UiPath Agentic Automation Professional Exam
- Exam Code: UiPath-AAPv1
- Exam Name: UiPath Agentic Automation Professional Exam
- Updated: Oct 28, 2026
- Q & A: 0 Questions and Answers
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UiPath UiPath-AAPv1 Exam Overview:
| Certification Vendor: | UiPath |
|---|---|
| Exam Name: | UiPath Agentic Automation Professional Exam |
| Exam Number: | UiPath-AAPv1 |
| Exam Format: | Sequencing, Drag-and-drop, Multiple-choice |
| Exam Price: | USD 300 (plus any applicable taxes) |
| Exam Duration: | 120 minutes |
| Passing Score: | 70% |
| Related Certifications: | UiPath Agentic Automation Associate (UiPath-AAAv1) UiPath Certified Professional Agentic Automation Professional |
| Available Languages: | English, Japanese |
| Certificate Validity Period: | 3 years from the date of credential achievement |
| Exam Way: | 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. |
| Pre Condition: | 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. |
| Official Syllabus URL: | https://start.uipath.com/rs/995-XLT-886/images/UiPath%20Agentic%20Automation%20Professional%20Exam%20Description.pdf |
UiPath UiPath-AAPv1 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: UiPath Platform components and integrations | - Using Run Job in Studio Web - Reusing existing agents within new agents - Integrating MCP assets as agent tools - Applying agent tool guardrails - Creating agent tools in Studio Web - Designing input and output schemas for tools - Troubleshooting tool execution using traces and evaluations - Building and publishing API workflows as reusable agent tools - Data Fabric integration - Mapping connector actions into agent prompts - Creating connections through Integration Service |
| Topic 2: AI Trust Layer | - Using audit logs and usage summaries - Personally identifiable information masking in transit - Using a custom tenant as an LLM gateway |
| Topic 3: 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 4: Coded Agents | - Coded Agents |
| Topic 5: Prompt engineering | - Iteratively refining prompts based on evaluation feedback - Applying clarity, specificity, and conciseness - Designing structured few-shot prompts - Prompt engineering best practices - Including context, instructions, output formats, and constraints - Crafting zero-shot prompts for simple tasks |
| Topic 6: Agentic orchestration with UiPath Maestro | - Configuring dynamic assignees, SLAs, and expiry rules for user tasks - Defining global, local, and task-specific process variables - Using the expression editor and scripts for data transformation and conditional routing - Instance management - Defining and using API workflows - Mapping input and output parameters between Maestro tasks and agents - Handling asynchronous agent completion events and callbacks - Maestro best practices - Capturing user inputs and returning structured data to processes - Configuring User Tasks with Action Apps forms for escalations - Using BPMN to model business processes and assign tasks to robots, agents, and humans - Maestro control flow - Using Send and Receive tasks with Integration Service connectors and webhooks - Chaining multiple agents within a process - Configuring Service Tasks to invoke agents using Start and wait for agent - Configuring Service Tasks to invoke automation workflows from Orchestrator |
| Topic 7: Context Grounding | - Configuring thresholds and result limits for precision and relevance - Ingestion and retrieval methods - Implementing index update strategies - Context engineering best practices - Monitoring index queries and jobs - Using context grounding indexes to store and retrieve relevant information for agent memory - Context grounding concepts and implementation - Context grounding sources and configuration options |
| Topic 8: Agentic evaluations | - Interpreting evaluation scores - Executing evaluation sets and analyzing accuracy and reliability - Using execution traces to troubleshoot failed evaluations - Iteratively improving agent performance - Analyzing evaluation failures to identify root causes and error patterns - Creating input-output pairs for diverse scenarios - Designing evaluation datasets that reflect real-world complexity - Selecting deterministic and model-graded assertions - Evaluation concepts and their role in agent reliability - Identifying edge cases and failure scenarios - Optimizing prompts using evaluation results - Selecting strict or flexible assertions based on use cases - Differences between deterministic and model-graded evaluations |
| Topic 9: Autopilot for Everyone | - Determining when to use Autopilot for Everyone - Using specialized Autopilots |
| Topic 10: UI Agent | - UI Agent (ScreenPlay) |
| Topic 11: Agentic discovery and blueprint design | - Mapping context sources and grounding strategies - Selecting tools appropriate to agent objectives - Defining agent goals and evaluation criteria - Assessing agentic automation opportunities in business processes - Mapping business process steps to agent tasks - Prioritizing automation opportunities based on feasibility and impact - Designing agent stories using triggers, instructions, context, human-in-the-loop requirements, and tools - Differentiating system prompts and user prompts |
| Topic 12: Agent management | - Agent tool and context grounding simulations - Assigning policies at tenant, group, and user levels - Monitoring agent usage, unit consumption, and incidents - Analyzing execution traces to understand agent behavior - Applying governance policies to enable, disable, and control agent functionality - Best practices for building, publishing, and deploying agents - Using agent scores to track performance |
| Topic 13: Escalations | - Human-in-the-loop concepts and the importance of human oversight - Defining escalation logic - Configuring UiPath Action Apps for human-in-the-loop escalations |
| Topic 14: Conversational Agents | - Conversational Agents |
The UiPath-AAPv1 Exam and Our Materials: Full Details
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The UiPath Agentic Automation Professional blueprint centers on these domains:
- Agentic AI and agentic automation concepts
- Conversational Agents
- Autopilot for Everyone
Additional domains complete the official outline, and our bank covers every one.
By daily checking and automatic delivery. Our UiPath experts check for updates every day, and whenever the UiPath-AAPv1 bank is revised, the system sends the latest version to you automatically — free for 365 days from purchase. The bank stays closely linked to the actual exam content, with expert-verified answers throughout. Choose among three formats: a printable PDF for easy notes, a Windows PC test engine that simulates the real exam environment, and an online engine that runs on any device and works offline after the first download. A free demo lets you experience all of it before buying.
Instantly. Upon successful payment, our system sends the product file to your mailbox automatically — typically within about a minute — alongside an immediate download link. If nothing arrives within two hours, check your spam folder and contact our 24/7 support team. Installations are unlimited, and updates are free for 365 days: each new version is delivered to you automatically, followed by a 50% renewal discount when the period ends.
Currently, the UiPath-AAPv1 exam's passing score is 70% and the registration fee is USD 300 (plus any applicable taxes). These figures belong to UiPath and can be revised, so confirm them on the official site before scheduling.
UiPath states the following prerequisites for the UiPath Agentic Automation Professional: 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..
For the authoritative details, see the official certification page.
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