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UiPath UiPath-AAAv1 Exam Syllabus Topics:

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

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

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

2. 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 deploys agents from UiPath and external providers-such as LangChain, CrewAI, or Agentforce-through one consistent framework that includes human-in-the-loop orchestration.
C) Maestro deploys only UiPath-built agents in robot-driven processes; any third-party agents must be integrated through external platforms without human checkpoints.
D) 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.

3. What are the primary benefits of Context Grounding when querying data across multiple documents?

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 understands relationships between data points across documents, enabling tasks like summarization, data comparison, and retrieval of highly relevant information.
D) Context Grounding only extracts random sentences without contextual understanding.

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

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

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

A) It changes the number of chunks returned, impacting both the size of the grounding payload and the filtering of relevant information.
B) 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.
C) 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.
D) It modifies the similarity threshold for chunk retrieval and lowers the number of tokens used.

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