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AI-102 General Document model Practice Question

You are building an application that processes scanned invoices to extract key fields such as total amount, invoice date, and vendor name. The application uses Azure AI Document Intelligence. You need to ensure high accuracy for field extraction without manual labeling. Which feature should you use?

⚠ Common exam trap

Candidates often think a custom neural model is needed for high accuracy on invoice fields, but custom models require manual labeling. The General Document model extracts common fields like total amount, invoice date, and vendor name without any labeling, meeting the requirement. Others may confuse the Read API (text) or Layout API (structure) as suitable for field 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

Use the General Document model

The General Document model in Azure AI Document Intelligence can extract common fields like total amount, invoice date, and vendor name from invoices without requiring any labeled training data. While a custom neural model would offer higher accuracy, it requires manual labeling of sample documents, which contradicts the requirement of no manual labeling. Therefore, the General Document model is the appropriate choice.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

  • Use the General Document model

    Why this is correct

    The General Document model extracts key-value pairs and entities from documents without training, and for common invoice fields it provides reasonable accuracy without manual labeling.

  • Use the Read API

    Why it's wrong here

    The Read API extracts printed and handwritten text but does not extract structured fields.

  • Use a custom neural model

    Why it's wrong here

    Custom neural models require labeled training data, so they do not meet the requirement of no manual labeling.

  • Use the Layout API

    Why it's wrong here

    The Layout API extracts text, tables, and selection marks but not custom key-value pairs.

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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.