Monitoring Video for User Presence in Azure AI

Answer Correct answer: C — Include Spatial Analysis in Azure AI Vision to monitor the+video stream and verify the user is alone.

You are building an internet-based training solution. The solution requires that a user's camera and microphone remain enabled. You need to monitor a video stream of the user and verify that the user is alone and is not collaborating with another user. The solution must minimize development effort. What should you include in the solution?

speech-to-text in the Azure AI Speech service
object detection in Azure AI Custom Vision
Spatial Analysis in Azure AI Vision Correct Answer
object detection in Azure AI Custom Vision

azure ai vision spatial analysis video stream people counting ai-102 exam solution azure custom vision vs spatial analysis

Community Votes

100%

100% of anonymous learners picked answer C. Votes are pick records left by other test-takers — they are not the verified answer.

Community Insight

The question tests the ability to select the appropriate Azure AI Vision feature for people counting in a video stream; the common trap is choosing Custom Vision which requires high development effort.

Azure AI Vision Spatial Analysis provides pre-built models to count people and track movements in a video stream. This page establishes that Spatial Analysis is the correct choice to verify a user is alone with minimal development effort.

Choosing object detection in Azure AI Custom Vision because it requires custom training and does not provide out-of-the-box people counting and spatial tracking.

Community Discussion (14 comments)

syupwsh 👍 1 Selected: C

Spatial Analysis in Azure AI Vision allows you to analyze video streams and detect the presence of people and their movements within a defined space. This service can help you determine if a user is alone or if others are present, which is crucial for ensuring compliance in a training environment where collaboration is not allowed. C for correct

FatFatSam 👍 2 Selected: C

However, On 30 March 2025, Azure AI Vision Spatial Analysis will be retired. https://learn.microsoft.com/en-us/azure/ai-services/computer-vision/spatial-analysis-operations

pabsinaz 👍 2 Selected: C

A speech solution makes no sense because you can collaborate and cheat visually without sound. Object detection requires a lot of effort and does not entirely meet the goal.

MASANASA 👍 1 Selected: A

must be A. look at Question " user's camera and microphone remain enabled" . According to Q, I expect that these are laptop's camera and microphone. so, this camera can not watch entire roop view. Detect Voice then STT must be right answear.

9cc71b6 👍 1 Selected: A

This must be speech to text.

Christian_garcia_martin 👍 1

Spatial is right answer , option b and d is the same option , if this is a real MS exam it could get better a lot.

aa18a1a 👍 1 Selected: C

https://learn.microsoft.com/en-us/azure/ai-services/computer-vision/spatial-analysis-operations Below is the description for cognitiveservices.vision.spatialanalysis-personcount "Counts people in a designated zone in the camera's field of view. The zone must be fully covered by a single camera in order for PersonCount to record an accurate total."

Spicewolf 👍 2 Selected: C

ChatGPT, Gemini and Claude is also voting for C.

10Dres 👍 2

and what if the another person is out of the camera and is talking ?

Toby86 👍 2 Selected: C

"How does Azure AI Vision analyze people in a physical space? The spatial analysis AI models detect and track movements in the video feed based on algorithms that identify the presence of one or more humans by a body bounding box." Answer: C. Spatial Analysis

Toby86 👍 1

anto69 👍 1

but why B and D are equal?

MarceloManhaes 👍 2 Selected: C

To monitor a video stream of the user and verify that the user is alone and not collaborating with another user, you should include Spatial Analysis in Azure AI Vision in your solution. This service can analyze the spatial relationships between people, movements, and interactions in a physical space using video data. So, the correct answer is: C. Spatial Analysis in Azure AI Vision

MarceloManhaes 👍 1 Selected: B

For the specific scenario of monitoring a video stream to verify that a user is alone and not collaborating with another user, object detection using Azure AI Custom Vision is a more suitable choice. Object detection can identify and track objects or people within the video stream, allowing you to determine if multiple individuals are present. It aligns better with your goal and minimizes development effort. The selected answer should be B

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Expert Analysis

Why the Answer Is Correct

Spatial Analysis in Azure AI Vision includes pre-built models like PersonCount specifically designed to detect and track people in a video feed. It requires minimal development effort compared to training a custom model, perfectly meeting the requirement to verify the user is alone.

Why the Other Options Are Wrong

Speech-to-text (Option A) cannot detect visual presence, failing the core requirement of monitoring a video stream for another person. Object detection in Azure AI Custom Vision (Options B and D) requires significant development effort to train and deploy a custom model, and it lacks built-in spatial tracking capabilities for continuous video streams.

Community Comment Notes

Several commenters pointed out that Spatial Analysis accurately counts people in a camera's field of view. However, FatFatSam noted that "Azure AI Vision Spatial Analysis will be retired" in 2025, which is an important consideration for future implementations despite being the correct exam answer. pabsinaz highlighted that "Object detection requires a lot of effort and does not entirely meet the goal."

Official Reference

https://learn.microsoft.com/en-us/azure/ai-services/computer-vision/spatial-analysis-operations

Exam Strategy

When a question asks to analyze a video stream for people counting or tracking with minimal effort, look for pre-built Azure AI Vision Spatial Analysis features. Avoid Custom Vision for video streams unless explicitly asked to train a custom object detector.

Related Analysis

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