UiPath Agentic Automation Associate v1.0

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Exam contains 176 questions
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Which situation is an appropriate reason for an agent to raise an escalation during execution?

  • A. The agent has just started its first step
  • B. The Agent Memory time-to-live reaches three months
  • C. A tool call returns data with an unexpected structure
  • D. The agent successfully finishes every planned step


Answer : C

Which of the following best illustrates how to optimize prompt engineering when dealing with domain-specific tasks?

  • A. Provide sufficient context within the prompt to convey nuances and background information relevant to the domain.
  • B. Focus exclusively on iterative refining of the prompt without considering the complexity of the specific domain.
  • C. Use multiple examples, even if they are outside the domain, to help the model generalize better across tasks.
  • D. Rely solely on simple, clear prompts without providing additional details, regardless of task complexity.


Answer : A

What configuration option is available in the Properties panel for a Service Task to start and wait for an RPA workflow?

  • A. Implementation > Type: Start and wait for RPA workflow
  • B. Implementation > Type: Execute connector activity
  • C. Implementation > Type: Create and wait for queue item
  • D. Implementation > Type: Execute Business Rule


Answer : A

While designing a competitive-intelligence agent you need it to look up real-time information on “today’s top mergers in the telecom sector” without providing a specific URL. Which tool should you add in the Tools panel so the agent can carry out that web search autonomously?

  • A. Web Reader
  • B. Google integration
  • C. Context Grounding index
  • D. Web Search


Answer : D

What key advantage do guardrails provide when developers configure them for individual tool calls?

  • A. Their primary purpose is to speed up the agent’s reasoning cycle by shortening the time spent inside a tool call.
  • B. They allow developers to define deterministic conditions that trigger human intervention only when specific, unexpected inputs or outputs occur, thereby reducing – but not eliminating-HITL tasks.
  • C. Once enabled, they universally resolve all forms of AI unpredictability across the platform, so no additional customization is needed at the tool level.
  • D. They autonomously correct every unexpected input or output without ever requiring human involvement after deployment.


Answer : B

What is the primary role of guardrails in tools?

  • A. Guardrails are designed to apply only after tool execution, without influencing pre-execution conditions.
  • B. Guardrails are used exclusively to automate all tool corrections without the possibility of triggering human intervention.
  • C. Guardrails control unexpected behaviors within tool calls deterministically, allowing developers to configure conditions for human intervention and escalations.
  • D. Guardrails only validate tool inputs during development and do not address unpredictable behaviors at runtime.


Answer : C

Which of the following best describes the key difference between agents and traditional; RPA robots in UiPath’s automation ecosystem?

  • A. Agents are designed for repetitive tasks and structured workflows, while robots excel in unstructured, exception-heavy environments.
  • B. Agents are a probabilistic approach to make decisions based on patterns and real-time data, while robots follow structured logic and fixed rules.
  • C. Agents can only communicate through code, while robots use natural language processing for all interactions.
  • D. Agents require human supervision to operate, while robots work independently in all scenarios.


Answer : B

When you want to connector field value to be inferred dynamically at run time, which input method should you select in the activity tool?

  • A. Prompt
  • B. Static value
  • C. Argument
  • D. Clear value


Answer : A

You are designing an evaluation for an agent. The test should compare the agent’s free-text summary of a ticket with an expected human summary, rewarding answers that are semantically equivalent even if wording differs. Which evaluator type best fits this criterion?

  • A. LLM-as-a-Judge: Semantic Similarity
  • B. Rely on the overall Evaluation score alone; it automatically detects semantic differences without configuring a specific evaluator.
  • C. Exact match
  • D. JSON similarity


Answer : A

An agent is being developed to calculate travel itineraries for event attendees. Inputs include location and event details, but the outputs fail to include critical time constraints (e.g. arrival before the event begins). What should be added to the prompt to address this issue?

  • A. Context that solely highlights the event details without timing constraints.
  • B. Instructions allowing flexibility in timing to simplify the agent’s process.
  • C. Constrains specifying that suggested itineraries must align with event schedules and start times.
  • D. Examples of itineraries that include random arrival times.


Answer : C

What is a correct Agent Story Blueprint?

  • A. As an [agent role]
    operating in [context/environment],
    I want to [objective] by [actions/behaviors],
    interacting with [users/systems/agents],
    so that [desired outcome/benefit],
    Success is measured by [success criteria]
  • B. As an [agent role],
    operating with [tools and applications],
    I want to [objective] by [success metrics],
    interacting with [users/systems/agents],
    so that [desired outcome/benefit],
    Success is measured based on [success criteria].
  • C. As a [desired outcome/benefit],
    operating in [success criteria],
    I want to [context/environment] by [agent role],
    interacting with [objective],
    so that [users/systems/agents],
    Success is measured by [actions/behaviors].
  • D. As an [users/systems/agents],
    operating in [actions/behaviors],
    I want to [desired outcome/benefit] by [objective],
    interacting with [success criteria],
    so that [agent role],
    Success is measured by [context/environment].


Answer : A

You are evaluating an agent that extracts the invoice date from a PDF. You define a deterministic evaluation using the following ground truth JSON:
{“invoice_date”: “2024-09-01”}
What logic will the evaluation use?

  • A. Ask a human to review and rate the date manually.
  • B. Count how many characters match between output and input.
  • C. Compare the extracted date string exactly to the expected value in the ground truth.
  • D. Use a language model to determine if the date looks plausible.


Answer : C

While configuring an Integration Service activity as a tool for your agent in Studio Web, how should you set up the activity so the agent can decide the value of a required field (e.g. Channel ld) at runtime based solely on instructions in the prompt?

  • A. Change every field, including Channel Id, to Variable because an agent cannot infer any field values without explicit arguments.
  • B. Leave the field’s input method on Prompt (the default) and keep or refine the tool description; this lets the agent infer the value during execution.
  • C. Change every field, including Channel ld, to Argument because an agent cannot infer any field values without explicit arguments.
  • D. Declare the field as an output argument in Data Manager so the agent can feed a value back into the tool.


Answer : B

For a workflow designed to automate data entry from invoices where the format is consistent and the rules are predefined, ensuring compliance and efficiency which automation technology is better suited for this task?

  • A. Agents, because they leverage probabilistic decision-making and perform best when the environment has fixed, predictable rules like invoice processing.
  • B. Robots (RPA), because they excel in deterministic, rule-based workflows, ensuring precision and reliability when managing repetitive and structured tasks like data entry.
  • C. Robots (RPA), because they integrate natural language capabilities to interpret unstructured data and adapt to changing formats in real-time.
  • D. Agents, because they are adaptive systems designed to handle dynamic workflows and processes involving judgement or contextual awareness, even for structured tasks.


Answer : B

When evaluating agentic use cases using the impact and feasibility matrix, what does “impact” specifically refer to?

  • A. The combined effect of process efficiency and organizational culture improvements.
  • B. The degree to which the use case improves the process or benefits the business.
  • C. The time impact resulting from use case implementation.
  • D. The likelihood that the use case will align with stakeholder diversity and integration goals.


Answer : B

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Exam contains 176 questions
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