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UiPath UiPath-AAAv1 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Agentic Discovery | - Identifying Automation Opportunities
|
| Agent Blueprint Design | - Designing Intelligent Agents
|
| Context Grounding and Escalations | - Enterprise-Ready Agent Design
|
| Agentic AI and Automation Concepts | - Foundations of Agentic Automation
|
| Agentic Evaluations | - Evaluation and Optimization
|
| Prompt Engineering | - Prompt Design Techniques
|
UiPath Certified Professional Agentic Automation Associate (UiAAA) Sample Questions:
1. For what primary reason should you supply a description for every input and output argument in an agent?
A) Argument descriptions are required only for input arguments; output arguments are inherently self- explanatory and do not benefit from them.
B) Descriptions cause Orchestrator triggers to pre-populate the arguments automatically, eliminating manual mapping.
C) Clear descriptions help the agent understand how to use each argument effectively while generating or returning results.
D) Adding descriptions forces Studio Web to treat all arguments as mandatory fields that block deployment if left empty.
2. Why is goal-oriented execution important in autonomous systems?
A) It focuses more on adapting tasks randomly rather than achieving goals.
B) It aligns actions and processes with predefined objectives effectively.
C) It prioritizes quick execution over producing quality results.
D) It ensures that all tasks are equally prioritized without regard for outcomes.
3. Why is it important to include examples in prompts?
A) Including examples should only focus on edge cases while ignoring typical scenarios for better variety in results.
B) Carefully chosen examples help guide the agent and improve its ability to generalize across different scenarios.
C) Examples should be omitted to allow the AI to create responses entirely from general knowledge without guidance.
D) Including examples guarantees output accuracy without any need for further adjustments or refinements.
4. 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) Prompt
B) Argument
C) Static value
D) Clear value
5. Which of the following best describes how agents handle dynamic environments?
A) Agents rely solely on static rules without contextual learning.
B) Agents fail to execute tasks when information or processes change.
C) Agents require complete human assistance whenever processes change.
D) Agents adapt to changing conditions by learning.
Solutions:
| Question # 1 Answer: C | Question # 2 Answer: B | Question # 3 Answer: B | Question # 4 Answer: B | Question # 5 Answer: D |

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