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

Your company is developing a knowledge mining solution for a legal firm that needs to extract information from scanned legal documents. The documents contain handwritten notes in addition to printed text. You need to extract both printed and handwritten text. You are using Azure AI Document Intelligence with the Read OCR model. The solution must be integrated into Azure AI Search. During testing, the printed text is extracted correctly, but handwritten text is often missing or incorrect. What should you do to improve the extraction of handwritten text?

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

Ensure the Document Intelligence skill is configured with the Read OCR model and handwriting recognition enabled.

The Document Intelligence Read OCR model supports handwriting recognition, but it must be explicitly enabled in the skill configuration. By ensuring handwriting recognition is enabled, the solution will extract handwritten text. Option C is incorrect because training a custom model is unnecessary; the Read OCR model already handles handwriting when enabled. Option A is incorrect because increasing resolution may improve overall quality but does not specifically enable handwriting recognition. Option B is incorrect because the built-in OCR skill in Azure AI Search does not support handwriting.

Answer analysis

Option-by-option breakdown

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

  • Preprocess the documents to increase image resolution before sending to Document Intelligence.

    Why it's wrong here

    Higher resolution may help but does not enable handwriting if not supported.

  • Add an OCR skill from Azure AI Search's built-in skills to the skillset.

    Why it's wrong here

    The built-in OCR skill does not support handwriting recognition.

  • Train a custom Document Intelligence model on handwritten samples.

    Why it's wrong here

    Custom models are for extraction layout; handwriting is supported by the Read model.

  • Ensure the Document Intelligence skill is configured with the Read OCR model and handwriting recognition enabled.

    Why this is correct

    The Read model with handwriting option extracts both printed and handwritten text.

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Written by Johnson Ajibi, MSc IT Security

Senior Network & Security Engineer · founder of Courseiva

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