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
For receipts, not invoices.
- ✓
prebuilt-invoice
Why this is correct
Designed for invoice processing with line-item extraction.
- ✗
prebuilt-idDocument
Why it's wrong here
For identity documents such as passports and driver's licenses.
- ✗
prebuilt-layout
Why it's wrong here
Extracts text and tables, not invoice-specific fields.
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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.