AI-102 Implement generative AI solutions Practice Question
You are designing a solution that uses Azure AI Document Intelligence to extract data from invoices. The solution must classify invoices by vendor and extract line items. Which prebuilt model should you use?
⚠ Common exam trap
Many exam-takers confuse the Prebuilt layout model with the Prebuilt invoice model, assuming layout extraction is sufficient for invoice data, but layout only provides raw text and table positions without the semantic understanding needed for vendor classification and 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 (Option A) is specifically designed to extract common fields from invoices, including vendor details and line items, without requiring custom training. This model is optimized for invoice documents and provides out-of-the-box extraction of structured data such as vendor name, invoice date, and line-item descriptions, quantities, and amounts.
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 invoice model
Why this is correct
Invoice model extracts vendor and line items.
- ✗
Custom extraction model
Why it's wrong here
Custom model requires training data.
- ✗
Prebuilt receipt model
Why it's wrong here
Receipt model is for receipts, not invoices.
- ✗
Prebuilt layout model
Why it's wrong here
Layout model does not extract vendor-specific fields.
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