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UiPath Agentic Automation Builder Professional Practice Questions

UiPath Agentic Automation Builder Professional

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Question 1

While debugging an AI-generated workflow, a developer pauses at a breakpoint, corrects a variable's value in the Locals panel, and the run then completes successfully. What must the developer keep in mind?

The correction was persisted to the workflow file, because Locals edits made while paused are treated as design-time changes.
The correction applied only to that debug session; the edit is not saved to the workflow file, so the underlying defect still exists.
The correction applied only to that debug session, and Studio recorded it as a pending change to confirm from the Data Manager.
The correction persists for the current project session and is discarded when the project closes without being published.

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Question 2

A data residency review examines the Prompt injection guardrail before it is enabled. Which characteristic is relevant?

It uses Azure AI Content Safety, hosted regionally, so data remains inside the tenant's own region.
It uses a model from the tenant's LLM configuration, so detection follows the configured provider.
It uses Noma Security, hosted in the United States, so data may be handled outside the tenant's region.
It uses Azure Cognitive Services, hosted regionally, so detection occurs within the tenant boundary.

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Question 3

After running uip skills update, a developer notices that one previously installed skill is gone from their coding agent. What is the documented explanation?

The skill failed integrity verification during the update, and it stays quarantined until the next successful update run.
The skill was merged into another skill during the update, and its capabilities now load under the surviving skill's name.
The skill requires a newer CLI version after the update, and it reappears once the CLI itself is upgraded to match.
The skill was removed from the remote catalog, and the update command prunes installed skills that are no longer published.

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Question 4

A bank needs to process high-value wire transfers where any error carries regulatory consequences and zero tolerance for mistakes. Which approach does official guidance recommend?

A conversational agent, since Autopilot is the recommended channel for regulatory workflows
A robot performing deterministic, rules-based automation, since high-risk financial transactions are documented as a poor use case for agents
An agent supervised by Action Center escalation, since human-in-the-loop review is documented as sufficient to remove all risk tolerance concerns
An agent, since agents are documented as more accurate than robots for financial transactions regardless of risk level

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Question 5

A developer is asked to explain, in a single sentence, why large language models are considered a subset of machine learning models rather than a separate technology. Which explanation matches documented terminology?

LLMs are rule-based systems trained on vast amounts of text data, designed to generate human-like text and respond to prompts
LLMs are ML models trained exclusively on structured numerical data, designed to generate human-like text and respond to prompts
LLMs are ML models trained on vast amounts of text data, designed to generate human-like text and respond to prompts
LLMs are agentic systems trained on vast amounts of text data, designed to generate human-like text and respond to prompts

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Question 6

Which technique is most appropriate when extracting a specific field from each object within a JSON array in UiPath?

Use a Deserialize JSON activity and treat the result as a DataTable to simplify iteration and access.
Use Deserialize JSON Array only when the entire JSON content consists solely of primitive values like numbers or strings.
Use the Deserialize JSON Array activity to parse the string, then iterate with a For Each activity over the resulting JArray, accessing each item’s field by key.
Directly cast the JSON string to a List(Of String) and use For Each to extract the field values.

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