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

1. When creating an Action app, what is the purpose of defining the "Approve" and "Deny" outcomes within the Action schema?

A) To dynamically update user-facing form labels with the action result.
B) To save user input as mandatory action schema properties during automation execution.
C) To guide the agent's next steps based on the review results of Input/Output properties.
D) To ensure the app validates search results and prevents faulty submissions.

2. An agent is built to extract customer feedback sentiment. You want to show the LLM how to classify it as
'Positive', 'Neutral', or 'Negative'. Which few-shot design is most helpful?

A) "Text" Use a multiple-choice table with numerical ratings from 1-5.
B) Input: "The app is okay I guess." # Output:
C) Options: List words like: "great, okay, bad" and map them to tone.
D) Input: "I love the new design, very intuitive!" Output: "Positive"
Input: "Nothing special, just works." Output: "Neutral"
Input: "Terrible experience, won't use again." Output: "Negative"

3. An agent is being designed to generate step-by-step troubleshooting guides for software issues. Testing shows that the guides lack clarity and include redundant steps, confusing users. What is the best refinement for the prompt?

A) Add generic examples to allow the agent to experiment with the step format.
B) Provide clear instructions to make steps actionable, concise, and free of redundancies.
C) Enable the agent to generate longer troubleshooting guides for completeness.
D) Avoid explaining each step in detail to simplify the prompt.

4. Why would you choose the Argument input method for an activity field?

A) Prompts a person to supply the value each time the field is evaluated at runtime.
B) Applies one constant value you enter during design every time the agent executes the activity.
C) Lets the agent infer the field value at runtime using the Description and its reasoning.
D) Receives a runtime value from an agent input argument defined earlier in the workflow.

5. A company is integrating an Agent into its customer support workflow to detect sentiment and classify complaints (e.g., "Billing issue", "Product defect"). However, the Agent's responses often miss subtle emotional cues like frustration or urgency. What change to the prompt design would most improve the quality of sentiment detection?

A) Remove detailed task instructions to give the Agent more freedom in interpreting customer messages.
B) Include explicit context explaining the goal of sentiment analysis and define constraints for identifying urgency.
C) Provide vague constraints in an emotional tone.
D) Focus only on complaint categorization and rely on post-processing to handle emotional nuance.

Solutions: