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UiPath UiPath-AAAv1 Exam Syllabus Topics:

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

Question 1

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. Generative AI focuses on improving customer sentiment analysis, while agentic AI refines campaign content.
D. Both generative AI and agentic AI collaborate to create promotional materials.

Question 2

When mapping business process steps to agent tasks using Task Capture, which BPMN element is mapped as a 'Decision' rather than as a unique element?

A. Swimlane
B. User Task
C. Exclusive Gateway
D. Task

Question 3

Which of the following is an essential aspect of crafting a comprehensive agent story during the validation stage?

A. Brainstorming automation use cases without validating personas or critically evaluating existing processes, focusing purely on agent capabilities.
B. Starting immediately with agent behavior prototyping using tools like the Agents designer canvas in Studio Web without assessing mapped automations or impacted systems.
C. Generalizing automation opportunities across all processes and roles without tailoring solutions based on specific personas or organizational contexts.
D. Understanding the daily pain points and inefficiencies of the selected role to identify tasks that consume unnecessary time and potential gains from agent intervention.

Question 4

Why is an agent story important in the development life-cycle?

A. A detailed agent story is only necessary when showcasing the agent's functionality to key stakeholders, rather than guiding the development process
B. An unclear agent story helps SMEs and stakeholders understand the potential risks associated with the agent
C. A good agent story helps the developers who will build the agent to focus on the essential features that deliver value
D. A poorly defined agent story enables developers to identify improvement opportunities

Question 5

What is one of the key benefits of providing RAG as a service to UiPath generative AI experiences?

A. It directly increases the LLM context window size without any interaction with knowledge bases.
B. It eliminates the need for knowledge bases by integrating all proprietary data directly into generative applications.
C. It reduces the risk of hallucination by referencing ground truth data stores.
D. It exclusively provides access to historical data sources without supporting real-time updates.

Solutions: