AI-102 Implement computer vision solutions Practice Question
A security firm wants to analyze live video from cameras at a warehouse gate to count the number of people entering and leaving. They require a ready-to-use service that provides a real-time count and does not require training a custom model. Which Azure AI service should they use?
⚠ Common exam trap
The trap here is assuming that any Azure AI vision service can process live video streams for people counting, when only Spatial Analysis provides that out-of-the-box capability.
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 Vision Spatial Analysis
The security firm needs a ready-to-use service for real-time people counting from live video. Azure AI Vision Spatial Analysis is purpose-built for this scenario, offering pre-trained models that analyze RTSP streams and count people crossing lines or zones without custom training. Other services either focus on static images or require significant custom development, making them unsuitable for immediate deployment.
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 allows training custom image classification or object detection models, but it does not process live video streams out of the box. It would require building a pipeline to extract frames and train a model, which is not a ready-to-use service. It also does not provide people counting logic.
- ✗
Azure AI Face
Why it's wrong here
Azure AI Face provides face detection and recognition but does not natively count people in video streams. It can detect faces in images but lacks the spatial analysis capabilities for tracking movement across a line. It would require custom development and is not a ready-to-use people counting solution.
- ✓
Azure AI Vision Spatial Analysis
Why this is correct
Azure AI Vision Spatial Analysis is designed for real-time video analytics, including people counting, and does not require custom model training. It ingests RTSP streams and provides counts of people crossing a defined line or zone. This matches the requirement for a ready-to-use service that counts people entering and leaving.
- ✗
Azure Video Indexer
Why it's wrong here
Azure Video Indexer extracts insights from stored videos, such as transcripts and faces, but it is not optimized for real-time people counting from live streams. It processes uploaded videos and does not provide the low-latency line-crossing analytics required for gate monitoring. It would introduce delay and complexity.
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JA
Written and reviewed by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
Last reviewed September 2026 · checked against the official Microsoft exam blueprint
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.