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Microsoft

AI-900 · Question #45

Drag and Drop Question Match the types of machine learning to the appropriate scenarios. To answer, drag the appropriate machine learning type from the column on the left to its scenario on the…

The correct answer is Image classification; Object detection; Semantic segmentation. The three correct answers map to progressively granular computer vision tasks: Image Classification labels an entire image with a category (e.g., 'this image contains a cat'), Object Detection identifies and draws bounding boxes around multiple objects within an image (e.g…

Submitted by thandi_sa· Mar 30, 2026Identify features of common AI workloads and computer vision scenarios - typically aligned with Microsoft AI-900 (Azure AI Fundamentals) Domain: Describe Fundamental Principles of Machine Learning on Azure / Computer Vision Workloads

Question

Drag and Drop Question Match the types of machine learning to the appropriate scenarios. To answer, drag the appropriate machine learning type from the column on the left to its scenario on the right. Each machine learning type may be used once, more than once, or not at all. NOTE: Each correct selection is worth one point. Answer:

Exhibit

AI-900 question #45 exhibit

Answer Area

Drag items

Facial detectionFacial recognitionImage classificationObject detectionOptical character recognition (OCR)Semantic segmentation

Correct arrangement

  • Image classification
  • Object detection
  • Semantic segmentation

Explanation

The three correct answers map to progressively granular computer vision tasks: Image Classification labels an entire image with a category (e.g., 'this image contains a cat'), Object Detection identifies and draws bounding boxes around multiple objects within an image (e.g., 'there is a cat at coordinates X,Y'), and Semantic Segmentation goes furthest by labeling every individual pixel in an image according to the class it belongs to (e.g., painting all road pixels one color and all sky pixels another). These three form a natural progression from whole-image understanding to region-level to pixel-level understanding, making them the standard trio used in core computer vision scenario matching questions.

Topics

#Computer Vision#Machine Learning Task Types#Azure AI Vision#Image Analysis

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