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

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

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

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

A) To save user input as mandatory action schema properties during automation execution.
B) To dynamically update user-facing form labels with the action result.
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.

3. 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) Lets the agent infer the field value at runtime using the Description and its reasoning.
C) Applies one constant value you enter during design every time the agent executes the activity.
D) Receives a runtime value from an agent input argument defined earlier in the workflow.

4. When would it be most appropriate to use Web Search instead of Web Reader in an agent workflow?

A) When extracting time-sensitive data from a secure internal system.
B) When accessing and filtering information already embedded within a private enterprise knowledge base.
C) When the user needs a summarized overview from multiple public sources without a specific URL.
D) When detailed, structured data is required from a known supplier's webpage.

5. Which statement best describes UiPath Maestro's capability for deploying AI agents within a BPMN-modeled process?

A) Maestro embeds external agents as inline code scripts inside the BPMN file and relies on each provider's runtime instead of Maestro's orchestration engine.
B) Maestro deploys only UiPath-built agents in robot-driven processes; any third-party agents must be integrated through external platforms without human checkpoints.
C) Maestro deploys agents from UiPath and external providers-such as LangChain, CrewAI, or Agentforce-through one consistent framework that includes human-in-the-loop orchestration.
D) Maestro is a workflow engine similar to UiPath Studio, but it only allows you to invoke Agentic and Integration tasks.

Solutions: