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UiPath UiPath-AAAv1 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Governance, Evaluation & Trust | 15% | - Observability and reliability - Guardrails and responsible AI - Agent performance evaluation |
| Topic 2: Agentic Automation Fundamentals | 20% | - Core principles of agentic automation - Agents vs traditional robots - AI, LLM and generative AI concepts |
| Topic 3: Orchestration & Human-in-the-Loop | 20% | - Escalations and Action Center - UiPath Maestro and BPMN modeling - Service tasks and agent invocation |
| Topic 4: Agent Design & Development | 25% | - Tools, connections and integration services - Agent Builder in Studio Web - Prompt engineering best practices |
| Topic 5: Context & Knowledge Management | 20% | - Knowledge base integration - Data sources and retrieval methods - Context packages and grounding |
UiPath Certified Professional Agentic Automation Associate (UiAAA) Sample Questions:
Question 1
When is it appropriate to rely on Clipboard AI inside Autopilot for Everyone for a copy-and-paste task?
A. Whenever you need to paste any content regardless of operating system, file type, or the number of pastes.
B. When you are working on a Windows machine and need to perform a single AI-powered paste of a table (for example, from a PDF) into another application directly from the chat interface.
C. When you plan to paste several different tables in succession during the same chat and expect Autopilot for Everyone to queue each paste automatically.
D. When you are using macOS and want Autopilot for Everyone to perform a copy and paste on a Linux VM.
Question 2
Which of the following is an essential aspect of crafting a comprehensive agent story during the validation stage?
A. Starting immediately with agent behavior prototyping using tools like the Agents designer canvas in Studio Web without assessing mapped automations or impacted systems.
B. Generalizing automation opportunities across all processes and roles without tailoring solutions based on specific personas or organizational contexts.
C. Understanding the daily pain points and inefficiencies of the selected role to identify tasks that consume unnecessary time and potential gains from agent intervention.
D. Brainstorming automation use cases without validating personas or critically evaluating existing processes, focusing purely on agent capabilities.
Question 3
Which of the following best describes a challenge faced by traditional automation in complex business processes?
A. Over-reliance on AI-powered agents for all types of automation tasks
B. Inability to perform repetitive, structured tasks efficiently and reliably
C. Excessive flexibility in handling varied workflows across different systems like CRM and ERP
D. Limited ability to automate unstructured tasks that require judgment and contextual awareness
Question 4
A developer is implementing a few-shot structured prompt for an email classification task. The prompt includes examples of email subjects labeled with their respective classifications, such as "Spam" or "Work." What is the most important aspect to consider when selecting examples for the prompt?
A. Choose examples that are diverse, relevant, and typical of the task's expected input.
B. Always use more than 10 examples, regardless of task complexity.
C. Use random and unrelated examples to test the prompt's robustness.
D. Include examples with intentionally incorrect labels to improve training.
Question 5
Why is goal-oriented execution important in autonomous systems?
A. It aligns actions and processes with predefined objectives effectively.
B. It ensures that all tasks are equally prioritized without regard for outcomes.
C. It focuses more on adapting tasks randomly rather than achieving goals.
D. It prioritizes quick execution over producing quality results.
Solutions:
| Question 1 Answer: B | Question 2 Answer: C | Question 3 Answer: D | Question 4 Answer: A | Question 5 Answer: A |

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