Question 1mediummultiple choice
Full question →mediummultiple choiceObjective-mapped
A retail store uses ceiling-mounted cameras to analyze customer traffic flow. They need to detect when a person enters a specific aisle and determine the direction they are walking. Which Azure Computer Vision capability should they use?
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
Image Analysis dense captioning
Incorrect: Dense captioning generates descriptions for image regions but does not track people or movement.
B
Distractor review
Facial recognition
Incorrect: Facial recognition identifies specific individuals by face but does not track body movement or direction.
C
Best answer
People counting (Spatial Analysis)
Correct: Spatial analysis can detect people and track their movement, including direction, within a video feed.
D
Distractor review
Optical Character Recognition (OCR)
Incorrect: OCR extracts text from images, not people tracking.
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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Question 4
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Question 5
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Question 6
A developer is using Azure OpenAI Service to generate product descriptions. They want the output to be highly focused and deterministic, with less randomness. Which parameter should they decrease?
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: People counting (Spatial Analysis) — Spatial analysis (people counting) in Azure Computer Vision can track people's movement and direction within a video stream. It can detect people and their trajectories, allowing determination of entry into an aisle and walking direction. Dense captioning describes images with sentences but does not track movement. Facial recognition identifies faces but does not track body movement. OCR extracts text from images.
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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