AI-102 Implement computer vision solutions Practice Question
Which TWO Azure AI services provide capabilities to detect and analyze faces in images? (Choose two.)
⚠ Common exam trap
Many candidates think Azure Video Indexer (E) is a valid choice because it can detect faces, but the question explicitly limits the scope to 'images', not video, and Video Indexer is a video analytics service, not an image analysis service.
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
✓
Azure AI Face API
Azure AI Face API (B) is correct because it is specifically designed for face detection, recognition, and analysis, including attributes like age, emotion, and landmarks. Azure AI Vision Image Analysis (D) is correct because it includes the 'Detect Faces' capability within its broader image analysis feature set, allowing extraction of face bounding boxes and attributes without requiring a dedicated Face API resource.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Azure AI Custom Vision
Why it's wrong here
Custom Vision can be trained for face detection but is not a pre-built face service.
- ✓
Azure AI Face API
Why this is correct
Face API is dedicated to face detection, recognition, and analysis.
- ✗
Azure AI Document Intelligence
Why it's wrong here
Document Intelligence is for document OCR and extraction, not face analysis.
- ✓
Azure AI Vision Image Analysis
Why this is correct
Image Analysis includes face detection as one of its features.
- ✗
Azure Video Indexer
Why it's wrong here
Video Indexer analyzes video, not static images.
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
This AI-102 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-102 exam.