UiPath UiPath-AAPv1 Exam Overview:
| Certification Vendor: | UiPath |
|---|---|
| Exam Name: | UiPath Agentic Automation Professional Exam |
| Exam Number: | UiPath-AAPv1 |
| Passing Score: | 70% |
| Certificate Validity Period: | 3 years |
| Exam Duration: | 120 minutes |
| Available Languages: | English |
| Exam Price: | USD $300 (plus applicable tax) |
| Real Exam Qty: | Approx. 65 |
| Related Certifications: | UiPath Certified Professional – Agentic Automation Associate (UiPath-AAAv1) |
| Exam Format: | Drag-and-drop/sequencing, Multiple-choice, Scenario-based items |
| Recommended Training: | UiPath Agentic Automation Professional Training UiPath Agentic Automation Associate Training (Recommended Foundation) |
| Exam Registration: | Pearson VUE Registration UiPath Registration Landing Page |
| Exam Way: | Online proctored (OnVUE) or in-person at Pearson VUE test center |
| Pre Condition: | Recommended: Passing UiPath-AAAv1 (Agentic Automation Associate); familiarity with UiPath platform, automation development, and LLM concepts. No strict mandatory prerequisite but Associate-level knowledge is assumed. |
| Official Syllabus URL: | https://academy.uipath.com/certifications/agentic-automation-professional |
UiPath UiPath-AAPv1 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Governance, Observability, and Reliability | 17% | - Compliance, security, and responsible AI - Guardrails, fallback logic, and risk controls - Monitoring, observability, and Agent Scores - Governance policies and AI Trust Layer |
| Topic 2: Agentic Discovery and Blueprint Design | 16% | - Process assessment and agent opportunity identification - Agent story design and goal definition - Prompt engineering and context specification - Tool selection and evaluation criteria definition |
| Topic 3: Agentic Evaluations and Agent Management | 16% | - Incident analysis and iterative improvement - Agent lifecycle management and deployment - Deterministic vs model-graded evaluation - Assertions, scoring, and trace analysis - Evaluation dataset design and edge-case handling |
| Topic 4: Advanced Agent Implementation and Platform Integration | 18% | - Coded Agents and conversational agents development - UI Agent and ScreenPlay implementation - Autopilot and AI-assisted development workflows - Studio Web tools and Integration Service configuration |
| Topic 5: Context Grounding and Escalations | 16% | - Context engineering best practices - Human-in-the-loop escalation architecture - Grounding source configuration and indexing - Retrieval strategies and ingestion management - Action Apps and escalation SLA/routing design |
| Topic 6: Orchestration and Multi-Agent Processes | 17% | - API integration and external system connectivity - UiPath Maestro process modeling and BPMN - Multi-agent coordination and workflow control - Human tasks, callbacks, and event handling |

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