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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

    Prebuilt-receipt is for receipts, which have a different structure.

  • Prebuilt-idDocument model

    Why it's wrong here

    Prebuilt-idDocument is for passports and driver's licenses, not invoices.

  • Prebuilt-invoice model

    Why this is correct

    Prebuilt-invoice is designed for invoices and extracts line items, totals, and other fields.

  • Prebuilt-layout model

    Why it's wrong here

    Prebuilt-layout extracts text and tables but not specific invoice fields like line items.

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