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

1. 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) Use random and unrelated examples to test the prompt's robustness.
C) Always use more than 10 examples, regardless of task complexity.
D) Choose examples that are diverse, relevant, and typical of the task's expected input.

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) Understanding the daily pain points and inefficiencies of the selected role to identify tasks that consume unnecessary time and potential gains from agent intervention.
C) Brainstorming automation use cases without validating personas or critically evaluating existing processes, focusing purely on agent capabilities.
D) Generalizing automation opportunities across all processes and roles without tailoring solutions based on specific personas or organizational contexts.

3. How does the impact and feasibility matrix assist in prioritizing agentic automation use cases?

A) By prioritizing the automation of all processes regardless of their feasibility or actual impact on the organization.
B) By focusing solely on high-impact use cases without considering whether implementing them is feasible with available resources.
C) By identifying all feasible use cases without considering the potential impact or business benefit of implementing them.
D) By evaluating use cases based on their potential business improvement and ease of implementation considering current resources and technology.

4. In which scenario is a deterministic evaluation more appropriate than a model-graded one?

A) When open-ended reasoning needs to be scored.
B) When the correct output is known and fixed.
C) When evaluating the tone and helpfulness of agent responses.
D) When the response quality depends on user satisfaction.

5. When exploring agentic automation discovery, which dimension ensures the solution aligns with the responsibilities and challenges of the individuals involved?

A) Focusing solely on task dependencies while neglecting the daily pain points of individuals executing these tasks.
B) Mapping systems, applications, and tools without understanding how they interact with human roles.
C) Defining the role or persona by considering the people performing the tasks and their needs, challenges, and responsibilities.
D) Assessing structured and unstructured knowledge contexts required for the tasks but excluding the personas performing these operations.

Solutions: