Which Document Intelligence Model Extracts Invoice Fields

Implement an Azure Document Intelligence in Foundry Tools solution
Answer Correct answer: C — Use the invoice prebuilt model to extract standard financial and address fields with minimal development effort.

You are building an app named App1 that will use Azure AI Document Intelligence to extract the following data from scanned documents: • Shipping address • Billing address • Customer ID • Amount due • Due date • Total tax • Subtotal You need to identify which model to use for App1. The solution must minimize development effort. Which model should you use?

  1. custom extraction model
  2. contract
  3. invoice Correct Answer
  4. general document

Community Votes

C
100%

100% of anonymous learners picked answer C. Votes are pick records left by other test-takers — they are not the verified answer.

Community Insight

This question tests identifying the correct Azure AI Document Intelligence prebuilt model based on a list of target extraction fields, where the common trap is choosing a custom or general model instead of the specialized prebuilt one.

Azure AI Document Intelligence provides prebuilt models to minimize development effort for data extraction. This page establishes that the prebuilt invoice model is the correct choice for extracting standard invoice fields like billing address and amount due.

Choosing a custom extraction model (A) or general document model (D), which requires significantly more development effort or lacks the specific schema to reliably extract these exact financial fields.

Community Discussion (7 comments)

syupwsh 👍 1 Selected: C
Azure AI Document Intelligence provides a pre-built model specifically designed for extracting common fields from invoices, such as shipping address, billing address, customer ID, amount due, due date, total tax, and subtotal. Using this pre-built model minimizes development effort as it is already trained to recognize and extract these specific fields from invoices. C for sure
famco 👍 1
This question has nothing to do with AI, but asking me what those list of data elements belong to. What does it prove if I know they are from invoice. In real life I will know it is invoice and select an invoice model
anto69 👍 1
I think is C
reigenchimpo 👍 1 Selected: C
C is answer.
reiwanotora 👍 2 Selected: C
C "invoice" is right answer.
Murtuza 👍 1
To extract the specified data from scanned documents with minimal development effort, you should use the invoice model. The invoice model is specifically designed to handle structured information commonly found in invoices, including shipping and billing addresses, customer IDs, amounts due, due dates, total taxes, and subtotal. Therefore, the correct choice for App1 is C. invoice
rober13 👍 2 Selected: C
Reference: https://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/concept-invoice?view=doc-intel-4.0.0#field-extraction

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Expert Analysis

Why the Answer Is Correct

The prebuilt invoice model in Azure AI Document Intelligence is specifically trained to extract common invoice fields such as shipping address, billing address, customer ID, amount due, due date, total tax, and subtotal. Using this prebuilt model requires zero custom training, perfectly satisfying the requirement to minimize development effort.

Why the Other Options Are Wrong

A custom extraction model (A) requires you to label and train your own dataset, which contradicts the minimize development effort constraint. The contract model (B) is prebuilt but targets contract-specific fields like parties and clauses, not invoice financials. The general document model (D) extracts generic key-value pairs and entities but lacks the specialized schema to reliably extract the specific list of invoice fields without additional logic.

Community Comment Notes

Commenters universally agree that the listed fields directly map to the prebuilt invoice model's schema. As syupwsh noted, "Azure AI Document Intelligence provides a pre-built model specifically designed for extracting common fields from invoices". A Microsoft reference was also provided confirming these are the exact fields extracted by the invoice model.

Official Reference

Exam Strategy

Match the required extraction fields to the exact schema of Azure AI Document Intelligence prebuilt models. When the question specifies minimizing development effort, always prefer a prebuilt model over a custom one if the target fields align.

Related Analysis

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