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Implement computer vision solutionshardMultiple ChoiceObjective-mapped

AI-102 Implement computer vision solutions Practice Question

A financial services company is building a computer vision solution to automatically extract data from scanned checks. The solution must recognize handwritten amounts, printed account numbers, and signature presence. The company has a large dataset of labeled check images. They need high accuracy and the ability to retrain with new data. Which Azure service should they use?

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

Azure AI Document Intelligence (Form Recognizer) with a custom model trained on check images

Azure AI Document Intelligence (Form Recognizer) is optimized for document extraction, supports custom models, and handles handwriting and printed text. Custom Vision is for object detection. Azure AI Vision OCR is for general text extraction. Azure AI Language is for text analytics.

Answer analysis

Option-by-option breakdown

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

  • Azure AI Vision OCR with a custom dataset using Custom Vision

    Why it's wrong here

    Custom Vision does not support text extraction natively.

  • Azure AI Language with custom entity recognition

    Why it's wrong here

    Requires text input, not images.

  • Azure AI Document Intelligence (Form Recognizer) with a custom model trained on check images

    Why this is correct

    Supports custom extraction models for documents like checks.

  • Azure AI Vision Image Analysis with a custom model

    Why it's wrong here

    Not designed for document structure extraction.

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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.