This AI-102 practice question tests your understanding of implement computer vision solutions. Match the stated requirement to the specific cloud service, access model, or configuration option — many options are valid in isolation but not for this scenario. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.
You need to analyze a video stream from a security camera to count the number of people entering a building. Which Azure AI service is most suitable?
Azure AI Spatial Analysis
Why wrong: Spatial Analysis is for spatial relationships, but Video Indexer is more appropriate for counting.
Azure AI Custom Vision
Why wrong: Custom Vision is for image classification, not video stream analysis.
Azure AI Computer Vision
Why wrong: Computer Vision is for images, not real-time video streams.
Azure AI Video Indexer
Video Indexer provides video analysis including people counting.
Answer choices
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
Option A is correct because Azure AI Video Indexer can analyze video streams and detect people. Custom Vision (B) would require custom training for each camera setup. Computer Vision (C) is for images, not video streams. Spatial Analysis (D) is a part of Computer Vision but is designed for spatial understanding; Video Indexer is more straightforward for counting people in video.
Key principle: NAT direction and interface roles matter as much as the IP address mapping. Inside/outside designation controls which traffic is translated.
Answer analysis
For each option: why learners choose it and why it is or isn't the right answer here.
Azure AI Spatial Analysis
Why it's wrong here
Spatial Analysis is for spatial relationships, but Video Indexer is more appropriate for counting.
Azure AI Custom Vision
Why it's wrong here
Custom Vision is for image classification, not video stream analysis.
Azure AI Computer Vision
Why it's wrong here
Computer Vision is for images, not real-time video streams.
Azure AI Video Indexer
Why this is correct
Video Indexer provides video analysis including people counting.
Related concept
Static NAT maps one inside address to one outside address.
Common exam traps
NAT is not only about the public address. The inside/outside interface roles and the ACL or rule that matches traffic are just as important.
Detailed technical explanation
NAT questions usually test address translation, overload/PAT behaviour, static mappings and whether the right traffic is being translated. Read the interface direction and address terms carefully.
Key takeaway
NAT direction and interface roles matter as much as the IP address mapping. Inside/outside designation controls which traffic is translated.
Real-world example
An e-commerce site experiences heavy traffic on Black Friday and near-zero traffic during off-peak weeks. Rather than provisioning permanent large VMs, the team uses auto-scaling groups that add capacity automatically under load and reduce it overnight. Questions like this test whether you understand elasticity, availability zones, and cloud compute scaling patterns.
What to study next
Review the four NAT address types (inside local, inside global, outside local, outside global), PAT port overload, and static vs dynamic NAT use cases. Then practise related AI-102 NAT questions on configuration and troubleshooting.
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FAQ
Implement computer vision solutions — This question tests Implement computer vision solutions — Static NAT maps one inside address to one outside address..
The correct answer is: Azure AI Video Indexer — Option A is correct because Azure AI Video Indexer can analyze video streams and detect people. Custom Vision (B) would require custom training for each camera setup. Computer Vision (C) is for images, not video streams. Spatial Analysis (D) is a part of Computer Vision but is designed for spatial understanding; Video Indexer is more straightforward for counting people in video.
Review the four NAT address types (inside local, inside global, outside local, outside global), PAT port overload, and static vs dynamic NAT use cases. Then practise related AI-102 NAT questions on configuration and troubleshooting.
Static NAT maps one inside address to one outside address.
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Last reviewed: Jun 20, 2026
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.
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