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UiPath Agentic Automation Associate Questions 86–90 (page: 19)

Updated On: 10-Feb-2026

Which of the following statements is true regarding Agentic Orchestration?

  1. Agentic Orchestration requires rebuilding entire workflows from scratch, allowing organizations to redesign processes for maximum adaptability.
  2. Agentic Orchestration integrates agents and traditional rule-based automation into existing workflows, targeting specific steps for automation to enable rapid scaling without overhauling entire processes.
  3. Agentic Orchestration replaces traditional automation tools with agents across all workflow steps, ensuring full automation coverage through dynamic systems and context aware decision making.
  4. Agentic Orchestration is limited to structured, rule-based workflows, making it unsuitable for processes that involve dynamic or exception-heavy conditions.

Answer(s): B

Explanation:

Agentic Orchestration allows organizations to integrate agents with traditional rule-based automation into existing workflows, targeting specific steps for automation. This enables rapid scaling and flexibility without the need to rebuild entire processes from scratch.



You're tasked with designing a zero-shot prompt for an agent to sort a list of words alphabetically. Input:
"banana, apple, cherry," and the expected output is "apple, banana, cherry." What would be the clearest zero- shot prompt?

  1. "Alphabetize the words provided in the input list and output them in order."
  2. "Display alphabetical order without skipping steps, starting from input."
  3. "Sort the items alphabetically: banana, apple, cherry apple, banana, cherry."
  4. "Organize the given terms into proper alphabetical sequence as seen."

Answer(s): A

Explanation:

In a zero-shot prompt, the model is given a clear instruction without examples. Prompt A explicitly directs the agent to alphabetize the words and output them in order, making the task unambiguous.



What capabilities does Maestro provide to process operations teams and admins?

  1. They automate all debugging and exception handling tasks using Maestro, eliminating manual intervention entirely.
  2. They can simulate processes on heatmaps to predict bottlenecks and improve future process versions.
  3. They can monitor live process instances, debug failures, and fix variables, as well as pause, skip, rewind, or restart instances as needed.
  4. They are only used to set up agent workflows and manage integrations across processes with no functionality for live monitoring or debugging.

Answer(s): C

Explanation:

Maestro enables operations teams and admins to monitor live process instances, debug failures, and manage workflow execution by pausing, skipping, rewinding, or restarting instances, providing robust control over automated operations.



Refer to the exhibit, what practical role do the placeholders wrapped in double brackets (e.g.
{{organization_criteria}}serve?

  1. They identify argument values that will be dynamically substituted into the prompt at runtime so the agent receives concrete details.
  2. They instruct the agent to re-ask the user for those values each time the prompt runs, even if already supplied.
  3. They function purely as developer comments to improve readability and have no impact on the agent's execution.
  4. They mark optional parameters that the agent may safely ignore if the user has not filled them in.

Answer(s): A

Explanation:

The placeholders wrapped in double curly brackets (e.g., {{organization_criteria}}) serve as dynamic variables that will be automatically populated at runtime with specific user input. This allows a generic template to be reused with different values, ensuring the agent receives concrete and contextualized instructions based on the user's provided details.



A business expects to upload a CSV file that contains last quarter's sales and when the business user asks the assistant to summarize key trends, the expectation is to trigger an existing UiPath automation to e-mail the summary to the team.
Why is Autopilot for Everyone the right choice in this scenario?

  1. Because Autopilot for Everyone combines generative-AI analysis of supported upload formats with the ability to launch UiPath automations directly from Assistant, matching the user's need to both interpret data and run a workflow.
  2. Because an administrator must adjust tenant-wide license settings, and Autopilot for Everyone provides the required admin console for that task.
  3. Because Autopilot for Everyone can convert raw images into full UiPath Studio workflows, eliminating the need for developer tools.
  4. Because any activity that involves AI inside the UiPath platform should always be routed through Autopilot for Everyone, regardless of user role or task complexity. It is also able to seamlessly integrate with internal systems and extract without configuration specific data.

Answer(s): A

Explanation:

Autopilot for Everyone is suitable because it combines generative-AI capabilities to analyze uploaded CSV data and can trigger existing UiPath automations directly from Assistant, allowing the user to summarize trends and send the report via email seamlessly.



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