The correct answer is B. Face because the Azure Face service, part of Azure Cognitive Services, provides capabilities for detecting, recognizing, and analyzing human faces in images. According to the Microsoft Azure AI Fundamentals (AI-900) official study guide and Microsoft Learn module "Explore computer vision", the Face service can automatically detect faces, determine attributes such as age, gender, emotion, and identify or verify individuals based on facial features.
In this scenario, the goal is to build an image tagging solution that automatically tags images of friends on social media. This requires the ability to recognize and match faces of known individuals, which is a key feature of the Face API. The API uses facial recognition technology to create face IDs for detected faces and can compare new faces against stored face data to identify known individuals. Microsoft Learn notes: "The Face service can detect, recognize, and identify people in images, enabling automated tagging or authentication scenarios." Other options explained:
* A. Computer Vision identifies objects, landmarks, and general content but does not specialize in identifying individual people.
* C. Text Analytics analyzes textual data for sentiment, key phrases, or entities, not image data.
* D. Form Recognizer extracts structured data from forms or receipts, unrelated to face detection.
Thus, for automatically tagging people in photos, Azure Face is the correct and most suitable service.