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 are developing a solution that uses Azure AI Video Indexer to analyze surveillance videos for suspicious activity. The solution must generate alerts when a person is detected in a restricted area. Which feature should you use?
Azure AI Video Indexer sentiment analysis
Why wrong: Analyzes emotions, not location.
Azure AI Video Indexer people detection and tracking
Tracks people movements and can trigger alerts.
Azure AI Face identify API
Why wrong: Identifies faces, not location.
Object detection in Azure AI Vision
Why wrong: Detects objects but not their movement or location over time.
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 people detection and tracking
Option B is correct because Azure AI Video Indexer's detection of people and their movements can be used to trigger alerts when a person is in a restricted area. Option A is wrong because object detection alone does not track location over time. Option C is wrong because face identification is for identifying specific individuals, not for location-based alerts. Option D is wrong because sentiment analysis is for emotions, not location.
Key principle: OSPF neighbour adjacency depends on matching area, hello/dead timers, network type, and authentication — IP reachability alone is not enough.
Answer analysis
For each option: why learners choose it and why it is or isn't the right answer here.
Azure AI Video Indexer sentiment analysis
Why it's wrong here
Analyzes emotions, not location.
Azure AI Video Indexer people detection and tracking
Why this is correct
Tracks people movements and can trigger alerts.
Related concept
OSPF neighbours must agree on key parameters.
Azure AI Face identify API
Why it's wrong here
Identifies faces, not location.
Object detection in Azure AI Vision
Why it's wrong here
Detects objects but not their movement or location over time.
Common exam traps
OSPF neighbour formation depends on matching areas, timers, network type, authentication and passive-interface behaviour. Do not choose an answer only because the devices can ping.
Detailed technical explanation
OSPF questions usually test the details that control adjacency and route selection. Read the neighbour state, area, router ID and interface configuration before deciding what is wrong.
Key takeaway
OSPF neighbour adjacency depends on matching area, hello/dead timers, network type, and authentication — IP reachability alone is not enough.
Real-world example
A media company stores terabytes of video archives that are accessed once a year for audit purposes. Moving these objects to a cold storage tier (Azure Archive, S3 Glacier, or Google Nearline) costs a fraction of hot storage. Questions like this test whether you understand storage tiers, access frequency tradeoffs, and retrieval latency requirements.
What to study next
Review OSPF neighbour requirements — matching area type, hello and dead timers, network type, stub flags, and authentication. Study show ip ospf neighbor states (INIT, 2-WAY, FULL). Then practise related AI-102 OSPF questions on adjacency and route selection.
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FAQ
Implement computer vision solutions — This question tests Implement computer vision solutions — OSPF neighbours must agree on key parameters..
The correct answer is: Azure AI Video Indexer people detection and tracking — Option B is correct because Azure AI Video Indexer's detection of people and their movements can be used to trigger alerts when a person is in a restricted area. Option A is wrong because object detection alone does not track location over time. Option C is wrong because face identification is for identifying specific individuals, not for location-based alerts. Option D is wrong because sentiment analysis is for emotions, not location.
Review OSPF neighbour requirements — matching area type, hello and dead timers, network type, stub flags, and authentication. Study show ip ospf neighbor states (INIT, 2-WAY, FULL). Then practise related AI-102 OSPF questions on adjacency and route selection.
OSPF neighbours must agree on key parameters.
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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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