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Free UiPath UiAAAv1 Exam Questions (page: 5)

Page 5 of 37
PDF with 176 Questions

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

  1. 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.
  2. Maestro is a workflow engine similar to UiPath Studio, but it only allows you to invoke Agentic and Integration tasks.
  3. 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.
  4. Maestro deploys only UiPath-built agents in robot-driven processes; any third-party agents must be integrated through external platforms without human checkpoints

Answer(s): A

Explanation:

UiPath Maestro enables deployment of both UiPath and third-party AI agents (e.g., LangChain, CrewAI, Agentforce) within BPMN-modeled processes using a unified framework. It also supports human-in-the-loop orchestration to manage escalations and approvals.



When exploring agentic automation discovery, which dimension ensures the solution aligns with the responsibilities and challenges of the individuals involved?

  1. Mapping systems, applications, and tools without understanding how they interact with human roles.
  2. Assessing structured and unstructured knowledge contexts required for the tasks but excluding the personas performing these operations.
  3. Defining the role or persona by considering the people performing the tasks and their needs, challenges, and responsibilities.
  4. Focusing solely on task dependencies while neglecting the daily pain points of individuals executing these tasks.

Answer(s): C

Explanation:

Defining the role or persona ensures the agentic automation solution aligns with the real responsibilities, needs, and challenges of the individuals performing the tasks, making the design relevant and impactful.



For which of the following stages in the process-to-pay workflow diagram shown below can an agent be included, and what is the agent's role?

  1. In the purchase requisition stage, an agent sends the purchase order to the supplier.
  2. In purchase requisition step, an agent checks the stocks of a specific product on the supplier website.
  3. In payment execution, an agent processes payments already approved by a human.
  4. In receiving goods, an agent tracks deliveries and resolves standard discrepancies, escalating only complex cases to a human.

Answer(s): B,C,D

Explanation:

In the purchase requisition stage, an agent can automate stock checking on supplier websites, ensuring requisition requests are validated against availability.
In payment execution, an agent can securely process payments that have already been reviewed and approved by a human, reducing manual effort and speeding reconciliation.
In receiving goods, an agent can track delivery statuses and automatically resolve routine discrepancies (e.g., shipment delays or quantity mismatches), escalating only complex issues to humans.



Which of the following steps is essential when assessing the agentic automation potential of business processes?

  1. Directly propose automation initiatives based solely on stakeholder suggestions without analyzing the "as-is" state.
  2. Prioritize automating every identified inefficiently in the "as-is" state, assuming automation is feasible for all processes.
  3. Focus exclusively on technology landscape evaluation and skip assessing the knowledge context or role dependencies.
  4. Analyze the "as-is" state by mapping workflows, roles, dependencies, and pain points to pinpoint areas for automation.

Answer(s): D

Explanation:

Assessing agentic automation potential requires analyzing the "as-is" state by mapping workflows, roles, dependencies, and pain points. This identifies realistic opportunities where automation can deliver measurable improvements.



Which of the following represents a significant challenge in traditional automation systems that rely solely on robots and humans?

  1. Over-reliance on AI-powered natural language processing for all types of communication within the system.
  2. Inability to execute repetitive, rule-based tasks with consistency and precision.
  3. Excessive flexibility in automating complex, exception-heavy workflows without human intervention.
  4. Limited ability to handle dynamic, unstructured tasks that require contextual understanding and adaptive decision-making.

Answer(s): D

Explanation:

Traditional automation systems that rely only on robots and humans are effective for structured, rule-based tasks but face limitations in managing dynamic, unstructured tasks that demand contextual understanding and adaptive decision-making.



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