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UiPath UiPath-AAAv1 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Agentic Evaluations & Governance | - Guardrails and validation logic - LLM-as-a-judge metrics |
| Topic 2: Agent Blueprint Design | - Workflow decomposition - Agent architecture design |
| Topic 3: Agent Discovery & Process Assessment | - Process suitability for agentic automation - Identifying automation opportunities |
| Topic 4: Escalations & Human-in-the-Loop | - Action Center workflows - Exception handling and escalation patterns |
| Topic 5: UiPath Platform Components | - Studio Web and Autopilot - Agent Builder and Orchestrator basics |
| Topic 6: Prompt Engineering for Agents | - System prompts and constraints - Zero-shot and few-shot prompting |
| Topic 7: Agentic AI Fundamentals | - AI agents vs rule-based automation - Agentic automation concepts |
| Topic 8: Autopilot for Everyone | - AI-assisted automation building - Use cases and capabilities |
| Topic 9: Agentic Orchestration (Maestro) | - BPMN-based process design - Workflow orchestration with agents |
| Topic 10: Context Grounding (RAG) | - Retrieval-Augmented Generation concepts - Data grounding strategies |
UiPath Certified Professional Agentic Automation Associate (UiAAA) Sample Questions:
1. When you want a connector field value to be inferred dynamically at run time, which input method should you select in the activity tool?
A) Static value
B) Argument
C) Clear value
D) Prompt
2. A company launches a marketing campaign powered by generative AI and agentic AI technologies. What best describes how their roles differ?
A) Generative AI produces outputs like text or images, while agentic AI focuses on intelligent automation, decision-making, and dynamic task execution.
B) Generative AI focuses on improving customer sentiment analysis, while agentic AI refines campaign content.
C) Both generative AI and agentic AI collaborate to create promotional materials.
D) Agentic AI designs campaign materials, while generative AI handles customer queries in real-time.
3. Which persona typically models agentic processes in Maestro with BPMN and governs their full lifecycle?
A) Process excellence analysts optimizing performance
B) Process owners in business teams
C) Automation developers in the Center of Excellence
D) Process operations teams and system admins
4. What is one of the key benefits of providing RAG as a service to UiPath generative AI experiences?
A) It exclusively provides access to historical data sources without supporting real-time updates.
B) It directly increases the LLM context window size without any interaction with knowledge bases.
C) It reduces the risk of hallucination by referencing ground truth data stores.
D) It eliminates the need for knowledge bases by integrating all proprietary data directly into generative applications.
5. Which of the following is an essential aspect of crafting a comprehensive agent story during the validation stage?
A) Understanding the daily pain points and inefficiencies of the selected role to identify tasks that consume unnecessary time and potential gains from agent intervention.
B) Starting immediately with agent behavior prototyping using tools like the Agents designer canvas in Studio Web without assessing mapped automations or impacted systems.
C) Generalizing automation opportunities across all processes and roles without tailoring solutions based on specific personas or organizational contexts.
D) Brainstorming automation use cases without validating personas or critically evaluating existing processes, focusing purely on agent capabilities.
Solutions:
| Question # 1 Answer: B | Question # 2 Answer: A | Question # 3 Answer: B | Question # 4 Answer: C | Question # 5 Answer: A |






