Study with UiPath-AAAv1 most valid questions & verified answers

UiPath UiPath-AAAv1 Exam Overview:

UiPath UiPath-AAAv1 Exam Syllabus Topics:

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

1. What is the main purpose of using a context grounding strategy with an ECS Index in Agents designer canvas in Studio Web?

A) To keep the ECS Index stored in a shared Orchestrator folder.
B) To retrieve data based on the user's current session or inputs.
C) To limit the number of results retrieved from the ECS Index.
D) To define static rules for retrieving data from the index.

2. You are building an agent that classifies incoming emails into one of three categories: Urgent, Normal, or Spam. You want to improve accuracy by using few-shot examples in a structured format. Which approach best supports this goal?

A) Use unlabeled prompts followed by ranked categories:
Classify this. "Need update on report." - [1] Urgent [2] Normal [3] Spam
B) Use examples such as:
Input: "Please address this issue immediately, server is down!" Output: "Urgent"
C) Show one example and leave the label blank for inference.
D) Include three random emails and let the LLM guess the intent.

3. An agent uses Web Search, Slack integration, and a custom process to resolve IT support tickets. The agent must:
* Retrieve relevant troubleshooting steps from the web.
* Notify the user via Slack if a solution is found.
* Escalate unresolved tickets via a custom process.
Which evaluation strategy ensures comprehensive coverage while avoiding redundancy?

A) Create 30 evaluations for Slack notifications, 30 for web searches, and 30 for escalation processes.
B) Create more than 30 evaluations for Slack notifications, more than 30 for web searches, and more than
30 for escalation processes.
C) Group evaluations into sets: Valid web results triggering Slack notifications, Invalid web results triggering escalations, Edge cases.
D) Use random input sampling across all tools and rely on the default "LLM-as-a-Judge" assertion.

4. 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 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.
B) 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.
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 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.

5. When is it appropriate to rely on Clipboard AI inside Autopilot for Everyone for a copy-and-paste task?

A) When you are using macOS and want Autopilot for Everyone to perform a copy and paste on a Linux VM.
B) When you plan to paste several different tables in succession during the same chat and expect Autopilot for Everyone to queue each paste automatically.
C) Whenever you need to paste any content regardless of operating system, file type, or the number of pastes.
D) When you are working on a Windows machine and need to perform a single AI-powered paste of a table (for example, from a PDF) into another application directly from the chat interface.

Solutions: