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AI-102 Practice Question: Implement knowledge mining and information extraction solutions

Your organization is using Azure AI Document Intelligence to process expense reports. The reports are submitted as images and need to be classified into categories (e.g., travel, office supplies) before extraction. Which feature of Document Intelligence should you use?

⚠ Common exam trap

Test-takers frequently confuse the prebuilt expense report model (which extracts data) with the classification model (which categorizes documents), leading them to select Option D despite the question explicitly asking for classification before 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

Custom classification model

Azure AI Document Intelligence's custom classification model is specifically designed to categorize documents (such as expense report images) into user-defined classes (e.g., travel, office supplies) before any extraction occurs. This model uses a trained classifier to assign a document type based on its visual and textual features, enabling downstream processing with the appropriate extraction 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.

  • Custom classification model

    Why this is correct

    Custom classification models can categorize documents based on their content.

  • OCR capability

    Why it's wrong here

    OCR extracts text from images but does not classify documents.

  • Layout extraction

    Why it's wrong here

    Layout extraction identifies text and structure, but does not classify.

  • Prebuilt expense report model

    Why it's wrong here

    Prebuilt models extract data from specific document types but do not classify into custom categories.

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Written by Johnson Ajibi, MSc IT Security

Senior Network & Security Engineer · founder of Courseiva

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