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UiPath UiPath-AAAv1 Exam Syllabus Topics:

UiPath Certified Professional Agentic Automation Associate (UiAAA) Sample Questions:

Question 1

You are building an agent that classifies incoming emails into one of three categories: Urgent, Normal, or Spam. You want to improve accuracy by using few-shot examples in a structured format. Which approach best supports this goal?

A. Use examples such as:
Input: "Please address this issue immediately, server is down!" Output: "Urgent"
B. Use unlabeled prompts followed by ranked categories:
Classify this. "Need update on report." - [1] Urgent [2] Normal [3] Spam
C. Show one example and leave the label blank for inference.
D. Include three random emails and let the LLM guess the intent.

Question 2

Which of the following is a benefit of UiPath-built agents?

A. They cannot integrate with UiPath Orchestrator.
B. They allow for quick agent creation using a low-code development application.
C. They require extensive coding expertise for development.
D. They are limited to handling structured workflows only.

Question 3

A team is designing an agent to convert plain text meeting notes into a formatted agenda (e.g., structured bullet points). Despite providing a few example transformations in the prompt, the agent generates agendas in inconsistent formats. What critical step was likely overlooked?

A. Including constraints to limit the length of the agenda for simplicity.
B. Adding clear instructions detailing the output format.
C. Providing only examples without additional context about the task.
D. Adding randomized formatting examples to test the agent's creativity.

Question 4

Which persona typically models agentic processes in Maestro with BPMN and governs their full lifecycle?

A. Process excellence analysts optimizing performance
B. Process operations teams and system admins
C. Process owners in business teams
D. Automation developers in the Center of Excellence

Question 5

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. Include examples with intentionally incorrect labels to improve training.
C. Always use more than 10 examples, regardless of task complexity.
D. Use random and unrelated examples to test the prompt's robustness.

Solutions: