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UiPath UiPath-AAAv1 Exam Syllabus Topics:

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

1. What is a key feature of zero-shot prompting?

A) It requires at least one example in the prompt for efficient completion.
B) The model performs tasks without prior examples or training specific to the request.
C) It ensures the model has been fine-tuned for all tasks it encounters.
D) This is necessary for complex or nuanced scenarios.

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

3. Which configuration area defines what the agent should do after a human resolves the escalation?

A) Assignment recipient list
B) Agent Memory toggle
C) Outcome behavior section
D) Inputs description fields

4. What type of agents can be invoked using the 'Start and wait for external agent' feature in UiPath Maestro?

A) External agents like Salesforce or ServiceNow.
B) Agents configured exclusively within the same project.
C) Only UiPath Orchestrator robots.
D) Agents that do not require any input or output variables.

5. Why is it important to include examples in prompts?

A) Examples should be omitted to allow the AI to create responses entirely from general knowledge without guidance.
B) Including examples guarantees output accuracy without any need for further adjustments or refinements.
C) Including examples should only focus on edge cases while ignoring typical scenarios for better variety in results.
D) Carefully chosen examples help guide the agent and improve its ability to generalize across different scenarios.

Solutions: