4.2. Azure Computer Vision Services

💡 First Principle: Azure provides pre-built vision services that eliminate model training for common scenarios. Azure AI Vision handles general image analysis; Azure AI Face specializes in facial detection and attributes. Knowing which service handles which capability is essential for exam success.

What breaks without knowing the services: Questions ask "Which service detects faces and estimates age?" or "Which service has specialized domain models for celebrities?" If you confuse Azure AI Vision with Azure AI Face, you'll pick wrong answers. Vision is the general-purpose service (objects, text, tags). Face is specialized for facial analysis (detection, landmarks, attributes).

Think of these services like specialized vs general medical practices. Azure AI Vision is like a general practitioner—handles most common needs (image analysis, OCR, tagging). Azure AI Face is like a dermatologist—specialized expertise in one area (facial detection, attributes, recognition). You go to the specialist when you need that specific expertise. The exam tests whether you know which "specialist" handles which capability.

Azure provides pre-built services that implement these computer vision capabilities. Understanding which service does what is essential for the exam.