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Agentic Automation Associate Practice Questions

Agentic Automation Associate

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Question 1

Four draft system prompts are shown for an “invoice-approval” agent. Based on UiPath guidance for context, instructions, output format, and constraints, which draft is the most robust choice?

You are an invoice-approval agent who deals only with supplier invoices and rejects any other request. 1 Extract Invoice_ID from the email text. 2 When an Invoice_ID is found, run the LookupInvoice tool to retrieve invoice amount and supplier name. 3 If the total ≥ $10 000, escalate the case to Finance in Action Center, sending Invoice_ID, amount, and supplier. 4 If the total < $10 000, approve the invoice. 5 Return a reply wrapped inside <invoice_status> tags: use <approved> or <awaiting_review> as appropriate. Follow a concise, professional tone and refuse tasks outside invoice approval.
You are an invoice approver. After processing, output exactly the following JSON template: { "id": "ABC-123", "status": "approved", "amount": 9999.99 } 1 Extract {{Invoice_ID}} from the email text. 2 When an {{Invoice_ID}} is found, run the LookupInvoice tool to retrieve invoice amount and supplier name. 3 If the total ≥ $10 000, escalate the case to Finance in Action Center, sending {{Invoice_ID}}, amount, and supplier. 4 If the total < $10 000, approve the invoice. Populate the fields above with real data.
You are an invoice-approval agent who deals only with supplier invoices and rejects any other request. 1 Extract {{Invoice_ID}} from the email text. 2 When an {{Invoice_ID}} is found, run the LookupInvoice tool to retrieve invoice amount and supplier name. 3 If the total ≥ $10 000, escalate the case to Finance in Action Center, sending {{Invoice_ID}}, amount, and supplier. 4 If the total < $10 000, approve the invoice. 5 Return a reply wrapped inside <invoice_status> tags: use <approved> or <awaiting_review> as appropriate. Follow a concise, professional tone and refuse tasks outside invoice approval.
You are an invoice approver. After processing, output exactly the following JSON template: { "id": "ABC-123", "status": "approved", "amount": 9999.99 } 1 Extract Invoice_ID from the email text. 2 When an Invoice_ID is found, run the LookupInvoice tool to retrieve invoice amount and supplier name. 3 If the total ≥ $10 000, escalate the case to Finance in Action Center, sending Invoice_ID, amount, and supplier. 4 If the total < $10 000, approve the invoice. Populate the fields above with real data.

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Question 2

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

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

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Question 3

When passing runtime data into an Agent, which approach ensures the input argument is actually available inside the user prompt at execution time?

Simply mention the variable name in plain prose—the Agent will infer the value from the workflow without special syntax.
Declare the argument in the system prompt; any text surrounded by angle brackets (e.g., <CUSTOMER_EMAIL>) will be substituted automatically.
Create the argument in Data Manager and reference it verbatim inside double curly braces e.g. {{CUSTOMER_EMAIL}}, so the name matches exactly.
Use single braces like {CUSTOMER_EMAIL}, because the platform automatically normalizes the identifier.

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Question 4

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 Id) at runtime based solely on instructions in the prompt?

Change every field, including Channel Id, to Variable because an agent cannot infer any field values without explicit arguments.
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.
Declare the field as an output argument in Data Manager so the agent can feed a value back into the tool.
Change every field, including Channel Id, to Argument because an agent cannot infer any field values without explicit arguments.

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Question 5

What is the highlighted task's type?

Service Task
Business Rule Task
Process Task
Connector Task

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Question 6

In UiPath Integration Service, when is a “Connection” officially created between a user and an external application?

It is established the moment the user successfully authenticates with the external application’s API provider.
It is automatically created for all members of an organization as soon as Integration Service is enabled, regardless of individual authentication.
It begins only after a robot executes its initial activity that calls the external application’s API.
It is set up as soon as a developer drags the corresponding connector into a UiPath Studio project for the first time.

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