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Azure AI-900 Computer Vision Guide

Study Azure AI-900 Computer Vision: key concepts, common traps, and exam decision cues.

This chapter tests whether you can read the output type hidden inside an image scenario. AI-900 often gives you a business clue and expects you to decide whether the answer is image classification, object detection, OCR, or a face-related capability.

Current weight in the study guide

Microsoft currently weights this skill area at 15-20% of the exam.

Work this skill area in order

Lesson Focus
3.1 Image Classification, Object Detection, OCR and Face Analysis Learn the core visual task types by their outputs.
3.2 Azure AI Vision and Face Detection Service Fit Learn which Azure service family AI-900 expects for common visual scenarios.

Fast routing inside this chapter

If the question is really about… Go first to…
identifying the visual task from a scenario 3.1 Image Classification, Object Detection, OCR and Face Analysis
choosing the Azure service family 3.2 Azure AI Vision and Face Detection Service Fit

What strong answers usually do

  • decide what the output should look like before thinking about the service name
  • separate OCR and document reading from general image tagging
  • keep face tasks narrower than generic computer vision
  • choose the Azure service family that matches the task, not the one that sounds most advanced

In this section

Revised on Sunday, May 10, 2026