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UiPath UiPath-AAAv1 Exam Syllabus Topics:

UiPath Certified Professional Agentic Automation Associate (UiAAA) Sample Questions:

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

A) You are an invoice-approval agent who deals only with supplier invoices and rejects any other request.
Extract {{invoice_ID}} from the email text.
When an {{invoice_ID}} is found, run the LookupInvoice tool to retrieve invoice amount and supplier name.
If the total # $10,000, escalate the case to Finance in Action Center, sending {{invoice_ID}}, amount, and supplier.
If the total > $10,000, approve the invoice.
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.
B) You are an invoice approver. After processing, output exactly the following JSON template:
{ "id": "ABC-123", "status": "approved", "amount": 9999.9 }
Extract the {{invoice_ID}} from the email text.
Use LookupInvoice to get the invoice amount and supplier name.
Escalate to Finance if amount # $10,000.
If amount > $10,000, approve the invoice.
Populate the fields above with real data.
C) You are an invoice-approval agent who deals only with supplier invoices and rejects any other request.
Extract invoice_ID from the email text.
When an invoice_ID is found, run the LookupInvoice tool to retrieve invoice amount and supplier name.
If the total # $10,000, escalate the case to Finance in Action Center, sending invoice_ID, amount, and supplier.
If the total > $10,000, approve the invoice.
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.
D) You are an invoice approver. After processing, output exactly the following JSON template:
{ "id": "ABC-123", "status": "approved", "amount": 9999.9 }
Extract {{invoice_ID}} from the email text.
When an {{invoice_ID}} is found, run the LookupInvoice tool to retrieve invoice amount and supplier name.
If the total # $10,000, escalate the case to Finance in Action Center, sending {{invoice_ID}}, amount, and supplier.
If the total > $10,000, approve the invoice.
Populate the fields above with real data.

2. A team is designing an agent to convert plain text meeting notes into a formatted agenda (e.g., structured bullet points). Despite providing a few example transformations in the prompt, the agent generates agendas in inconsistent formats. What critical step was likely overlooked?

A) Adding clear instructions detailing the output format.
B) Providing only examples without additional context about the task.
C) Adding randomized formatting examples to test the agent's creativity.
D) Including constraints to limit the length of the agenda for simplicity.

3. What is a characteristic of using Business Process Model and Notation by process excellence practitioners?

A) It is only used for modeling static workflows without support for dynamic or unpredictable process changes.
B) It solely provides tools for designing aesthetic workflows, with no focus on controlled automation or dynamic process management.
C) It lacks constructs such as error and exception handling support, limiting its use for controlled automation design.
D) It acts as an enabler for standards-based, model-driven collaboration between business groups and IT implementers.

4. What steps must be completed when creating evaluations from scratch for a new evaluation set in UiPath?

A) Once the evaluation set is created, all included evaluations are automatically scored based only on input values and expected outputs.
B) The evaluation set can only be created using imported JSON data from previous evaluations of other agents.
C) Add a name to the evaluation set, provide input values and expected output, save each evaluation, and assign evaluators before running the evaluation set.
D) Assign evaluators immediately after creating the new evaluation set name, then configure inputs and expected outputs later.

5. An agent is built to extract customer feedback sentiment. You want to show the LLM how to classify it as
'Positive', 'Neutral', or 'Negative'. Which few-shot design is most helpful?

A) Options: List words like: "great, okay, bad" and map them to tone.
B) Input: "The app is okay I guess." # Output:
C) "Text" Use a multiple-choice table with numerical ratings from 1-5.
D) Input: "I love the new design, very intuitive!" Output: "Positive"
Input: "Nothing special, just works." Output: "Neutral"
Input: "Terrible experience, won't use again." Output: "Negative"

Solutions: