Drag and Drop Question Match the types of computer vision to the appropriate scenarios. To answer, drag the appropriate workload type from the column on the left to its scenario on the right. Each…

The correct answer is Facial recognition; Optical character recognition (OCR); Object detection. The correct arrangement matches each computer vision type to its most appropriate use case: Facial recognition identifies specific individuals by analyzing facial features, OCR converts text in images (such as scanned documents or photos of signs) into machine-readable text…

Submitted by katya_ua· Mar 30, 2026Describe Artificial Intelligence workloads and considerations - specifically identifying appropriate computer vision capabilities for real-world scenarios (Microsoft Azure AI Fundamentals AI-900)

Question

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

Exhibit

Answer Area

Drag items

Facial recognitionImage classificationObject detectionOptical character recognition (OCR)

Correct arrangement

Facial recognition
Optical character recognition (OCR)
Object detection

Explanation

The correct arrangement matches each computer vision type to its most appropriate use case: Facial recognition identifies specific individuals by analyzing facial features, OCR converts text in images (such as scanned documents or photos of signs) into machine-readable text, and Object detection locates and identifies multiple objects within an image by drawing bounding boxes around them. These three types are distinctly suited to their respective scenarios based on their core technical capabilities - identifying people, reading text, and locating/classifying multiple items in a scene.

Topics

#Computer Vision#AI Services#Azure Cognitive Services#Machine Learning Workloads

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