Free UiPath Certified Professional Agentic Automation Associate (UiAAA) Practice Questions

A.  

Task

B.  

Swimlane

C.  

User Task

D.  

Exclusive Gateway

A.  

High feasibility and High Impact

B.  

Low feasibility and High Impact

C.  

High feasibility and Low Impact

D.  

Low feasibility and Low Impact

A.  

It defines the current way tasks are performed, helping to highlight inefficiencies, bottlenecks, and areas for improvement that can uncover automation potential.

B.  

It serves as a finalized map of processes ready for automation, removing the need for further adjustments or workshops.

C.  

It directly outlines the roles that agents will assume in the optimized process, ensuring alignment with automation requirements.

D.  

It establishes the goals of the new process, serving as a foundation to later create the "to-be" process map.

A.  

Generative AI produces outputs like text or images, while agentic AI focuses on intelligent automation, decision-making, and dynamic task execution.

B.  

Generative AI focuses on improving customer sentiment analysis, while agentic AI refines campaign content.

C.  

Both generative AI and agentic AI collaborate to create promotional materials.

D.  

Agentic AI designs campaign materials, while generative AI handles customer queries in real-time.

A.  

Utilizehttps://www.google.com/search?q=bpmn.uipath.com exclusively for creating agentic processes with implementation capabilities.

B.  

Usehttps://www.google.com/search?q=bpmn.uipath.com as a sandbox since the tool does not offer implementation capabilities.

C.  

Usehttps://www.google.com/search?q=bpmn.uipath.com only to import predefined process templates from Studio Web.

D.  

Always usehttps://www.google.com/search?q=bpmn.uipath.com as the primary tool for modeling processes with full implementation features.

A.  

Descriptions cause Orchestrator triggers to pre-populate the arguments automatically, eliminating manual mapping.

B.  

Clear descriptions help the agent understand how to use each argument effectively while generating or returning results.

C.  

Adding descriptions forces Studio Web to treat all arguments as mandatory fields that block deployment if left empty.

D.  

Argument descriptions are required only for input arguments; output arguments are inherently self-explanatory and do not benefit from them.

A.  

Including examples should only focus on edge cases while ignoring typical scenarios for better variety in results.

B.  

Examples should be omitted to allow the AI to create responses entirely from general knowledge without guidance.

C.  

Including examples guarantees output accuracy without any need for further adjustments or refinements.

D.  

Carefully chosen examples help guide the agent and improve its ability to generalize across different scenarios.

A.  

Context Grounding requires manual intervention for identifying connections between data points across documents.

B.  

Context Grounding is limited to querying within a single document at a time.

C.  

Context Grounding only extracts random sentences without contextual understanding.

D.  

Context Grounding understands relationships between data points across documents, enabling tasks like summarization, data comparison, and retrieval of highly relevant information.