A retail chain wants to count people entering a store using ceiling-mounted cameras. They have a video feed from an RTSP camera and need to detect when a person crosses a defined line. Which Azure Vision in Foundry Tools configuration should they use?

Deploy a spatial analysis operation with the 'person crossing line' configuration on an edge device.

Configure a custom vision model to detect people and track them across frames.

Use the Video Indexer 'people counting' preset on the camera stream.

Set up an Azure Video Analyzer pipeline with a line-crossing processor.

A factory wants to detect when a person enters a dangerous machine area and immediately stop the machine. They need a real-time solution. What should they use?

Azure AI Language with sentiment analysis

Custom Vision with a people detector

Azure Vision in Foundry Tools with spatial analysis zone detection

Azure AI Video Indexer with face detection

A retail chain wants to use Azure Vision in Foundry Tools to count the number of people entering a store and detect when people gather in groups. They have a camera feed from the store entrance. What should they configure?

A spatial analysis operation with person counting and zone detection

An Azure AI Language service for entity recognition

A Custom Vision object detection model for people

A Video Indexer account with face detection

A media company ingests hundreds of hours of archived video daily. They need to automatically extract spoken words, on-screen text, and the identities of people appearing in each video, then make these insights searchable by their internal applications. They want to minimize custom model training. What should they use?

Azure Video Analyzer for Media (deprecated)

Azure AI Vision spatial analysis with a people-counting operation

Azure AI Custom Vision with an object detection model

Azure AI Video Indexer with the default preset

A city wants to deploy Azure Vision in Foundry Tools to monitor pedestrian safety at intersections. They need to detect if a pedestrian is in a crosswalk and if a vehicle is too close to the crosswalk. They have a limited budget and need to minimize the number of cameras and processing resources. What should they do?

Use two cameras per intersection, one for pedestrians and one for vehicles, and deploy separate containers.

Use Azure AI Video Indexer to analyze the video feeds in the cloud.

Use Azure Computer Vision's detect people API on frames extracted from the video.

Use a single camera per intersection and deploy a spatial analysis container with both 'person in zone' and 'vehicle in zone' operations.

Microsoft Certified:Azure AI Engineer Associate

Domain 4Objective 3

Analyze Videos AI-102 Practice Questions (Page 2)

Part of the Implement computer vision solutions domain, which accounts for 10-15% of the AI-102 exam. Microsoft does not publish an official question count, but from its 100-minute exam (~40–65 total, ~4–10 in this domain), expect 1–3 from this objective — we provide 38 practice questions to prepare you well beyond it. (estimate)

38questions here

8free pages

7concepts

10-15%of the exam

Questions 6–10

6application · medium
A retail chain wants to count people entering a store using ceiling-mounted cameras. They have a video feed from an RTSP camera and need to detect when a person crosses a defined line. Which Azure Vision in Foundry Tools configuration should they use?
Select an answer first
7application · medium
A factory wants to detect when a person enters a dangerous machine area and immediately stop the machine. They need a real-time solution. What should they use?
Select an answer first
8application · medium
A retail chain wants to use Azure Vision in Foundry Tools to count the number of people entering a store and detect when people gather in groups. They have a camera feed from the store entrance. What should they configure?
Select an answer first
9application · medium
A media company ingests hundreds of hours of archived video daily. They need to automatically extract spoken words, on-screen text, and the identities of people appearing in each video, then make these insights searchable by their internal applications. They want to minimize custom model training. What should they use?
Select an answer first
10expert · hard
A city wants to deploy Azure Vision in Foundry Tools to monitor pedestrian safety at intersections. They need to detect if a pedestrian is in a crosswalk and if a vehicle is too close to the crosswalk. They have a limited budget and need to minimize the number of cameras and processing resources. What should they do?
Select an answer first

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Analyze Videos AI-102 Practice Questions (Page 2)

Questions 6–10

A retail chain wants to count people entering a store using ceiling-mounted cameras. They have a video feed from an RTSP camera and need to detect when a person crosses a defined line. Which Azure Vision in Foundry Tools configuration should they use?

A factory wants to detect when a person enters a dangerous machine area and immediately stop the machine. They need a real-time solution. What should they use?

A retail chain wants to use Azure Vision in Foundry Tools to count the number of people entering a store and detect when people gather in groups. They have a camera feed from the store entrance. What should they configure?

Keep studying — Implement computer vision solutions