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AI-900 · Question #56

AI-900 Question #56: Real Exam Question with Answer & Explanation

Each computer vision type has a distinct purpose: Face detection identifies the presence and location of human faces in an image; Image classification assigns a label to an entire image based on its dominant content; Object detection locates and identifies multiple objects within

Submitted by tyler.j· Mar 30, 2026Describe Fundamental Principles of Machine Learning on Azure - specifically identifying and differentiating computer vision workloads and their use cases (Microsoft Azure AI Fundamentals AI-900)

Question

Drag and Drop Question Match the computer vision type to the scenario. To answer, drag the appropriate type to each scenario. A type may be used once, more than once, or not at all. Answer:

Options

  • AFace detection
  • BImage classification
  • CObject detection
  • DOptical character recognition

Explanation

Each computer vision type has a distinct purpose: Face detection identifies the presence and location of human faces in an image; Image classification assigns a label to an entire image based on its dominant content; Object detection locates and identifies multiple objects within an image using bounding boxes; and Optical character recognition (OCR) extracts and converts printed or handwritten text from images into machine-readable text. Matching each type to its scenario requires understanding that face detection is narrowly scoped to faces, object detection handles multiple labeled instances, image classification gives one overall label, and OCR is specifically for reading text.

Topics

#Computer Vision#Azure AI Vision#Image Analysis#AI Fundamentals

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