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

1. For what primary reason should you supply a description for every input and output argument in an agent?

A) Descriptions cause Orchestrator triggers to pre-populate the arguments automatically, eliminating manual mapping.
B) Argument descriptions are required only for input arguments; output arguments are inherently self- explanatory and do not benefit from them.
C) Adding descriptions forces Studio Web to treat all arguments as mandatory fields that block deployment if left empty.
D) Clear descriptions help the agent understand how to use each argument effectively while generating or returning results.

2. A company launches a marketing campaign powered by generative AI and agentic AI technologies. What best describes how their roles differ?

A) Agentic AI designs campaign materials, while generative AI handles customer queries in real-time.
B) Generative AI produces outputs like text or images, while agentic AI focuses on intelligent automation, decision-making, and dynamic task execution.
C) Both generative AI and agentic AI collaborate to create promotional materials.
D) Generative AI focuses on improving customer sentiment analysis, while agentic AI refines campaign content.

3. What is the significance of the "as-is" process map in identifying agentic automation opportunities?

A) It serves as a finalized map of processes ready for automation, removing the need for further adjustments or workshops.
B) It directly outlines the roles that agents will assume in the optimized process, ensuring alignment with automation requirements.
C) It defines the current way tasks are performed, helping to highlight inefficiencies, bottlenecks, and areas for improvement that can uncover automation potential.
D) It establishes the goals of the new process, serving as a foundation to later create the "to-be" process map.

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

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

A) Maestro is a workflow engine similar to UiPath Studio, but it only allows you to invoke Agentic and Integration tasks.
B) 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.
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 deploys only UiPath-built agents in robot-driven processes; any third-party agents must be integrated through external platforms without human checkpoints.

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