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

1. 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) Add generic examples to allow the agent to experiment with the step format.
C) Avoid explaining each step in detail to simplify the prompt.
D) Enable the agent to generate longer troubleshooting guides for completeness.

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

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

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

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

4. Why is it important to include examples in prompts?

A) Carefully chosen examples help guide the agent and improve its ability to generalize across different scenarios.
B) Including examples should only focus on edge cases while ignoring typical scenarios for better variety in results.
C) Examples should be omitted to allow the AI to create responses entirely from general knowledge without guidance.
D) Including examples guarantees output accuracy without any need for further adjustments or refinements.

5. You are part of a Procurement team that often struggles with manually reviewing and comparing quotations from different vendors. This process is time-consuming, prone to human errors, and lacks real-time price validation. Keeping up with internal rules and market standards makes things even more difficult. This can cause problems and cost overruns. How agents can help?

A) Agents only store vendor quotations without cross-verifying prices, researching market trends, or checking compliance with policies, leaving procurement officers to manually manage the entire validation process.
B) Agents rely on preloaded prices set by vendors and do not research market rates, verify compliance, or provide detailed validation, leading to potential errors and inefficiencies during quotation reviews.
C) Agents automate price validation by extracting item details from quotations, use tools to research market prices, checking policy compliance, and cross-verifying prices against benchmarks before sharing results with procurement officers for better decision-making.
D) Agents focus on sending reminders for deadlines but do not automate price analysis, extract item details, or validate compliance with internal rules, slowing down decision-making for procurement officers.

Solutions: