AI-102 Implement computer vision solutions Practice Question
You are tasked with creating a solution that can identify and count people in a retail store to analyze foot traffic. Which TWO Azure AI services can be used together?
⚠ Common exam trap
Test-takers frequently confuse Azure AI Face with general people counting, but Face requires detectable faces and is not optimized for counting anonymous individuals in crowded or occluded retail spaces, whereas Spatial Analysis is purpose-built for this task.
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 Video Indexer
Azure AI Video Indexer can extract insights from video feeds, including detecting and counting people in a retail store by analyzing recorded or live video streams. Azure AI Vision Spatial Analysis provides real-time computer vision capabilities specifically designed for counting people and measuring foot traffic in physical spaces, such as retail environments. Together, these services enable both historical analysis (Video Indexer) and real-time monitoring (Spatial Analysis) of people flow.
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 Content Safety
Why it's wrong here
Content Safety is not for counting.
- ✗
Azure AI Document Intelligence
Why it's wrong here
Document Intelligence is for documents.
- ✓
Azure AI Video Indexer
Why this is correct
Video Indexer can detect and count people in videos.
- ✓
Azure AI Vision Spatial Analysis
Why this is correct
Spatial Analysis includes people counting from cameras.
- ✗
Azure AI Face
Why it's wrong here
Face is for identification, not counting.
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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.