UiPath Agentic Automation AAPv1 Practice Questions & Answers • ExamPrepare

45 questions in this view

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Question 1

What is the role of the FastMCP("Finance") declaration in the MCP server setup?

It configures a metadata registry used for automatic tool introspection and remote capability advertisement to connected agents
It instantiates a named MCP application context that serves as a logical container for registering and exposing tools under the "Finance" namespace
It initializes a transport-bound MCP endpoint preconfigured for financial workflow routing and tenant-aware isolation
It establishes a scoped execution runtime that enforces financial-domain middleware policies across all registered tools

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Question 2

A team is building an evaluation dataset and wants it to remain stable over time. They keep changing the agent’s input arguments during development, and the evaluation cases no longer fit. What is the best documented practice to prevent repeated rework?

Rely on the bottom panel only, because it updates evaluations from actual output whenever arguments change.
Create evaluations early, because evaluation cases automatically adapt when input arguments are modified as long as you use variables in them.
Create evaluations once the arguments are stable or complete, then adjust evaluations if the arguments change.
Generate evaluation sets with simulated inputs and avoid manual edits so changes to arguments do not affect them.

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Question 3

A company is deploying a UiPath agentic AI to automate invoice processing, customer support responses, and marketing campaign recommendations. In which of the following scenarios is it recommended to include Human-in-the-Loop validation?

The agent processes recurring invoices that match historical patterns and predefined approval criteria.
The agent generates customer responses using validated knowledge sources and established communication guidelines.
The agent recommends campaign adjustments based on consolidated performance data and prior approved strategies.
The agent processes invoices containing data discrepancies and policy deviations beyond standard approval conditions

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Question 4

Which evaluator categories allow you to select the model used for evaluation when configuring evaluation sets to compare model/temperature combinations?

Trajectory evaluators only, because only trajectory grading needs a model selection while LLM-as-a-judge evaluators remain model-agnostic.
LLM-as-a-judge and Trajectory evaluators, because both are LLM-based and include a Model selection field for testing different model and temperature configurations.
Deterministic evaluators only, because their stable rule-based matching supports explicit model selection to compare model behaviors.
All evaluator categories, because model selection is available uniformly for deterministic, LLM-as-a-judge, and trajectory evaluators.

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Question 5

Which factor should most influence your decision to use an agent instead of a workflow in an automation design?

The governance model: agents are chosen mainly for their ability to provide strict compliance across every automation run.
The stability of the environment: agents are recommended only when tasks are strictly rule-based, with minimal variation between executions and predictable control flow.
The level of input ambiguity and need for runtime reasoning: agents excel when inputs are unstructured and decisions must adapt dynamically to changing context.
The number of process steps involved: agents should always be used when an automation contains more than five steps, regardless of complexity or input type.

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Question 6

Which filters can you apply to refine data shown on the Monitoring tab?

Advanced filters override basic filters completely, making version and date range irrelevant when both are applied.
You can apply both basic filters and advanced filters to refine the displayed data.
Filters can only be applied after exporting the data, the Monitoring tab itself does not support filtering.
Only basic filters such as version and date range are available, element and variable-level filters are not supported.

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