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

2. When passing runtime data into an Agent, which approach ensures the input argument is actually available inside the user prompt at execution time?

A) Use single braces like {CUSTOMER_EMAIL}, because the platform automatically normalizes the identifier.
B) Simply mention the variable name in plain prose-the Agent will infer the value from the workflow without special syntax.
C) Declare the argument in the system prompt; any text surrounded by angle brackets (e.g.,
<CUSTOMER_EMAIL>) will be substituted automatically.
D) Create the argument in Data Manager and reference it verbatim inside double curly braces, e.g.,
{{CUSTOMER_EMAIL}}, so the name matches exactly.

3. A business is looking to automate its workflows and has both structured, repetitive tasks (like data entry) and unstructured, exception-heavy processes (such as responding to diverse customer queries). How should they combine agents and robots (RPA) to achieve optimal automation results?

A) Use agents exclusively, as they can cover both structured workflows and dynamic environments due to their probabilistic and adaptive nature.
B) Use robots (RPA) for the structured, repetitive tasks, leveraging their rule-based approach for reliability and precision, while agents handle the unstructured processes by using their adaptive decision-making capabilities.
C) Use robots (RPA) exclusively, as they are capable of adapting to dynamic workflows with exception handling and learning capabilities.
D) Use agents for the structured, repetitive tasks, as they can follow deterministic rules efficiently while robots (RPA) handle unstructured workflows requiring adaptability, decision-making capabilities and contextual awareness.

4. What is the defining characteristic of few-shot prompting?

A) It relies on intermediate reasoning steps to guide the model's response.
B) It requires the model to generate a response with no examples or instructions.
C) It links multiple prompts together in a sequential workflow.
D) It uses several examples to help the model understand the task better.

5. 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.

Solutions: