Question 1mediummultiple choice
Full question →mediummultiple choiceObjective-mapped
A retail store wants to analyze customer movement patterns, such as dwell time in front of displays and foot traffic heatmaps, using existing surveillance cameras. Which Azure Computer Vision capability is most suitable?
Answer choices
Why each option matters
Good practice is not just finding the correct option. The wrong answers often show the exact trap the exam wants you to fall into.
A
Distractor review
Object detection
Object detection can locate people in frames but lacks built-in capabilities for tracking movements over time, measuring dwell time, or creating heatmaps across video streams.
B
Distractor review
Optical character recognition (OCR)
OCR is used to extract text from images, such as reading signs or labels, not for analyzing customer movement or behaviors.
C
Best answer
Spatial analysis
Spatial analysis is designed for tracking people in video, measuring dwell time, and generating insights like foot traffic patterns and heatmaps, making it ideal for retail analytics.
D
Distractor review
Image classification
Image classifies an entire image into a category (e.g., 'store interior') but cannot identify individual people, track their movement, or calculate dwell time over a video sequence.
Common exam trap
Common exam trap: NAT rules depend on direction and matching traffic
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.
Technical deep dive
How to think about this question
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.
KKey Concepts to Remember
- Static NAT maps one inside address to one outside address.
- PAT allows many inside hosts to share one public address using ports.
- Inside local and inside global describe the private and translated addresses.
- NAT ACLs identify traffic for translation, not always security filtering.
TExam Day Tips
- Identify inside and outside interfaces first.
- Check whether the scenario needs static NAT, dynamic NAT or PAT.
- Do not confuse NAT matching ACLs with normal packet-filtering intent.
Related practice questions
Related AI-900 practice-question pages
Use these pages to review the topic behind this question. This is how one missed question becomes focused revision.
More questions from this exam
Keep practising from the same exam bank, or move into a focused topic page if this question exposed a weak area.
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FAQ
Questions learners often ask
What does this AI-900 question test?
Static NAT maps one inside address to one outside address.
What is the correct answer to this question?
The correct answer is: Spatial analysis — Spatial analysis in Azure Computer Vision is specifically designed for understanding people's movements, positions, and interactions with their environment using video feeds. It can detect people, track their trajectories, measure dwell time, and generate heatmaps. Object detection identifies objects but not movement patterns; OCR extracts text; image classification assigns labels to entire images. Spatial analysis is the correct choice for this use case.
What should I do if I get this AI-900 question wrong?
Then try more questions from the same exam bank and focus on understanding why the wrong options are tempting.
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