AI-103 Information Extraction Practice Question
Your company processes complex purchase orders that vary significantly in layout across different vendors. You decide to train a Custom Neural model using Azure AI Document Intelligence Studio. What is the minimum number of documents required to train a Custom Neural model?
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
✓
5 documents
Azure AI Document Intelligence Custom Neural models require a minimum of 5 training documents per distinct layout to successfully train a model.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
1 document
Why it's wrong here
A single document is insufficient for training any custom machine learning extraction model.
- ✗
50 documents
Why it's wrong here
50 documents is closer to the recommended maximum or older template-based model sizing, but not the minimum required.
- ✓
5 documents
Why this is correct
The minimum document requirement for training a Custom Neural model in Azure AI Document Intelligence is 5.
- ✗
100 documents
Why it's wrong here
A minimum of 100 documents is not required; neural models are designed to learn effectively from smaller datasets starting at 5 documents.
About these practice questions
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JA
Written and reviewed by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
Last reviewed August 2026 · checked against the official Microsoft exam blueprint
This AI-103 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-103 exam.