AI-102 Plan and manage an Azure AI solution Practice Question
You are deploying an Azure AI Document Intelligence solution to process invoices. The solution must extract line-item details such as product code, quantity, and unit price. Which prebuilt model should you use?
⚠ Common exam trap
The trap here is that candidates might choose prebuilt-layout thinking it can extract any table data, but it lacks the specialized field mapping and labeling that prebuilt-invoice provides for invoice-specific line items.
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
The prebuilt-invoice model is specifically designed to extract line-item details such as product code, quantity, and unit price from invoices. It uses deep learning models trained on thousands of invoice samples to identify and extract structured data, including tables and line items, making it the correct choice for this requirement.
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
Why it's wrong here
prebuilt-receipt targets retail receipts, returning merchant, transaction total and items in a receipt schema, not invoice line items with product codes and unit prices. It is tempting because receipts contain itemised purchases, and would be correct for expense claims based on till receipts.
- ✓
prebuilt-invoice
Why this is correct
The prebuilt-invoice model returns structured fields including line items, each with product code, quantity, unit price, and amount, satisfying the stem's line-item extraction requirement. Unlike the general document model, it applies invoice-specific training to locate and label these fields without custom training.
- ✗
prebuilt-idDocument
Why it's wrong here
prebuilt-idDocument extracts identity fields such as name, date of birth and document number; it has no line-item schema for product code, quantity or unit price. It is tempting because it handles document images, and would be correct for verifying passports, licences or identity cards.
- ✗
prebuilt-layout
Why it's wrong here
prebuilt-layout returns text, tables and selection marks without semantic invoice fields, so product code, quantity and unit price are not mapped to named properties. It is tempting because it reads tabular content, and would be correct when you need raw structure for a custom model to build on.
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
This AI-102 practice question is part of Courseiva's free Microsoft certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the AI-102 exam.