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UiPath UiPath-AAAv1 Exam Syllabus Topics:

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

1. 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) Options: List words like: "great, okay, bad" and map them to tone.
C) Input: "The app is okay I guess." # Output:
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"

2. 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 plan to paste several different tables in succession during the same chat and expect Autopilot for Everyone to queue each paste automatically.
C) When you are using macOS and want Autopilot for Everyone to perform a copy and paste on a Linux VM.
D) 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.

3. A team is building an AI agent that drafts personalized marketing emails. The quality of the drafts depends on tone, alignment with brand voice, and personalization. What evaluation approach is best?

A) Random sampling with A/B testing.
B) Deterministic evaluation using a checklist of key phrases.
C) Model-graded evaluation to capture nuanced style and relevance.
D) Evaluation using a character count threshold to assess message quality.

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) Include examples with intentionally incorrect labels to improve training.
B) Always use more than 10 examples, regardless of task complexity.
C) Use random and unrelated examples to test the prompt's robustness.
D) Choose examples that are diverse, relevant, and typical of the task's expected input.

5. Which of the following best describes how agents handle dynamic environments?

A) Agents adapt to changing conditions by learning.
B) Agents fail to execute tasks when information or processes change.
C) Agents rely solely on static rules without contextual learning.
D) Agents require complete human assistance whenever processes change.

Solutions: