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

1. What is the significance of the "as-is" process map in identifying agentic automation opportunities?

A) It serves as a finalized map of processes ready for automation, removing the need for further adjustments or workshops.
B) It establishes the goals of the new process, serving as a foundation to later create the "to-be" process map.
C) It directly outlines the roles that agents will assume in the optimized process, ensuring alignment with automation requirements.
D) It defines the current way tasks are performed, helping to highlight inefficiencies, bottlenecks, and areas for improvement that can uncover automation potential.

2. In which scenario is a deterministic evaluation more appropriate than a model-graded one?

A) When evaluating the tone and helpfulness of agent responses.
B) When the response quality depends on user satisfaction.
C) When open-ended reasoning needs to be scored.
D) When the correct output is known and fixed.

3. What are the primary benefits of Context Grounding when querying data across multiple documents?

A) Context Grounding requires manual intervention for identifying connections between data points across documents.
B) Context Grounding is limited to querying within a single document at a time.
C) Context Grounding only extracts random sentences without contextual understanding.
D) Context Grounding understands relationships between data points across documents, enabling tasks like summarization, data comparison, and retrieval of highly relevant information.

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-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.

5. When adding an index for querying data stored in CSV files, what advanced feature does UiPath Context Grounding provide to optimize retrieval?

A) Embedding data from CSV files into JSON templates for improved semantic similarity.
B) Automatic conversion of CSV data into native XLSX files for enhanced compatibility.
C) Support for structured queries tailored specifically for CSV data.
D) Streaming support for real-time ingestion and CSV query execution without indexing.

Solutions: