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UiPath UiPath-AAAv1 Exam Syllabus Topics:

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

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

2. What is the primary recommendation for usinghttps://www.google.com/search?q=bpmn.uipath.comto access the Maestro modeling canvas?

A) Utilizehttps://www.google.com/search?q=bpmn.uipath.comexclusively for creating agentic processes with implementation capabilities.
B) Always usehttps://www.google.com/search?q=bpmn.uipath.comas the primary tool for modeling processes with full implementation features.
C) Usehttps://www.google.com/search?q=bpmn.uipath.comonly to import predefined process templates from Studio Web.
D) Usehttps://www.google.com/search?q=bpmn.uipath.comas a sandbox since the tool does not offer implementation capabilities.

3. An agent is being designed to generate step-by-step troubleshooting guides for software issues. Testing shows that the guides lack clarity and include redundant steps, confusing users. What is the best refinement for the prompt?

A) Provide clear instructions to make steps actionable, concise, and free of redundancies.
B) Enable the agent to generate longer troubleshooting guides for completeness.
C) Add generic examples to allow the agent to experiment with the step format.
D) Avoid explaining each step in detail to simplify the prompt.

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

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

5. How does adjusting the "Number of results" setting affect the agent's use of context from indexes?

A) It selects which Orchestrator folder to use, determining the location of stored workflows and deciding which set of predefined rules will apply during data retrieval and processing.
B) It modifies the similarity threshold for chunk retrieval and lowers the number of tokens used.
C) It changes the number of chunks returned, impacting both the size of the grounding payload and the filtering of relevant information.
D) It makes the agent ignore all context completely, resulting in outputs that are entirely disconnected from the indexed data, regardless of its relevance to the query or prompt provided.

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