AI-102 Practice Question: Implement natural language processing solutions
Your company uses Azure AI Document Intelligence to process invoices. You need to extract the invoice date and total amount. Which model should you use?
⚠ Common exam trap
Many candidates confuse the Layout model's ability to extract text and tables with the specialized field extraction of prebuilt models, leading them to choose the Layout model for invoice data extraction when a purpose-built model exists.
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 on thousands of invoice documents to extract key fields like invoice date, total amount, vendor details, and line items. It uses deep learning models optimized for invoice layouts, providing higher accuracy and structured output for these fields compared to general models.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Read model
Why it's wrong here
Read model only extracts printed and handwritten text.
- ✓
Prebuilt invoice model
Why this is correct
The invoice model is optimized for invoice fields.
- ✗
Layout model
Why it's wrong here
Layout model extracts text and tables, not specific fields.
- ✗
General document model
Why it's wrong here
General document model extracts key-value pairs, but not as accurate for invoices.
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
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