AI-900 Practice Question: Describe features of computer vision workloads on Azure
A security system uses cameras to detect whether a person is present at a restricted door. Which Azure Computer Vision capability should they use to detect the presence of human faces in the camera images?
⚠ Common exam trap
It's easy for candidates to confuse Face Detection with Object Detection, thinking that any object detection model can handle faces equally well, but Azure's Face Detection is a specialized, pre-trained service optimized solely for human faces with additional attributes like face landmarks and attributes not available in generic Object Detection.
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Face Detection
Face Detection is the correct choice because it is specifically designed to locate and identify human faces in images, returning bounding box coordinates for each detected face. This capability directly addresses the requirement to detect whether a person is present at a restricted door by identifying faces in camera images, without needing to recognize who the person is.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Optical Character Recognition (OCR)
Why it's wrong here
Optical Character Recognition (OCR) is a computer vision technique that extracts machine-readable text from images or scanned documents by detecting character shapes and letter patterns. It has no understanding of human anatomy, facial geometry, or body structure, so it cannot determine whether a person is present. Because OCR operates only on text-like features, it is completely unrelated to this security camera scenario.
- ✓
Face Detection
Why this is correct
Face Detection is the specialized Azure AI service designed to locate one or more human faces in an image and return their bounding box coordinates. It uses a trained model to identify facial landmarks, such as eyes, nose, and mouth, and applies face-specific heuristics to distinguish faces from other objects. For a security system that uses cameras to check whether a person is present, Face Detection is the most direct and accurate choice because it confirms the presence of a person through facial features.
- ✗
Object Detection
Why it's wrong here
Object Detection is a general-purpose computer vision capability that locates and classifies multiple objects in an image by drawing bounding boxes around them, and it can include the label 'person' when trained on such classes. However, a generic object detection model typically marks the whole body or a rectangular region around the person, not specifically the face, and it is less optimized for face-only detection than a dedicated Face Detection service. While Object Detection could technically infer a person is present, Face Detection is more specialized and accurate for facial-feature-based presence detection.
- ✗
Image Classification
Why it's wrong here
Image Classification assigns a single label to an entire image based on its dominant content, such as 'person present' or 'no person'. It does not output bounding boxes, facial coordinates, or the location of any specific person, and it struggles when multiple people appear in one frame because it produces one global prediction. Since the security system needs to detect whether a person is present through camera frames, Image Classification offers only a coarse, non-spatial result and is therefore not the best fit.
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Azure Machine Learning Studio
Key term
Computer vision
Computer vision is a field of artificial intelligence that enables computers to interpret and make decisions based on visual data from the world, such as images and videos.
Key term
Face detection
Face detection is an AI service that identifies and locates human faces in images or video, distinguishing them from other objects or backgrounds.
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
This AI-900 practice question is part of Courseiva's free Microsoft certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the AI-900 exam.