AI-102 Practice Question: Implement knowledge mining and information extraction solutions
You are building a solution to extract key information from invoices using Azure AI Document Intelligence. The invoices contain fields such as invoice number, date, total amount, and line items. However, the model is not correctly extracting the line items. Which prebuilt model should you use?
⚠ Common exam trap
A common mix-up: candidates confuse the prebuilt-layout model's ability to extract table structure with the prebuilt-invoice model's trained field extraction for invoice-specific data, leading them to choose option D thinking layout analysis is sufficient for line item extraction.
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Prebuilt-invoice model
The prebuilt-invoice model is specifically trained to extract key fields from invoices, including invoice number, date, total amount, and line items. Unlike other prebuilt models, it has dedicated field extraction for line item details such as description, quantity, unit price, and total, making it the correct choice for this scenario.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Prebuilt-receipt model
Why it's wrong here
The prebuilt-receipt model extracts retail receipt fields such as merchant name, transaction date and total, but not invoice line items. It is tempting because receipts and invoices look similar and both are financial documents, yet it would be correct only for sales receipts from retail transactions.
- ✗
Prebuilt-idDocument model
Why it's wrong here
The prebuilt-idDocument model targets passports, driving licences and US W-2 forms, so it cannot extract invoice line items at all. It is tempting because it is a prebuilt model for structured identity documents, and would be correct when processing identity verification rather than invoices.
- ✓
Prebuilt-invoice model
Why this is correct
The prebuilt-invoice model is trained to extract invoice-specific fields including line items, invoice number, date and total amount. Custom or general models lack this schema, so the prebuilt invoice model directly addresses the failing line-item extraction described in the scenario.
- ✗
Prebuilt-layout model
Why it's wrong here
The prebuilt-layout model extracts text, tables and selection marks but returns no invoice-specific fields such as invoice number, date or total, so line items arrive unstructured. It is tempting because it handles tables well, and would be correct when you need general document structure rather than invoice field extraction.
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