A warehouse operator wants to detect when a person enters a restricted area and trigger an alert. They have a camera pointed at the restricted zone. Using Azure Vision in Foundry Tools, which configuration should they use?

Video Indexer with face identification

Spatial analysis with a zone-crossing operation on the restricted area

Custom Vision with a people detector

Azure AI Video Indexer with object tracking

How does Azure AI Video Indexer provide access to extracted insights?

Only through email notifications

Only through Power BI dashboards

Through a web portal and REST API

A news organization wants to automatically generate closed captions for their video archive and make the content searchable by topic. They have the videos stored in Azure Blob Storage. What is the most efficient way to achieve this?

Use Azure Media Services to add a caption track to each video.

Use Azure AI Video Indexer to index the videos and export the generated transcript and keywords.

Use Azure Speech Service to transcribe the audio from each video file.

Use Azure Computer Vision to extract text from video frames and generate captions.

A mall wants to analyze foot traffic patterns to understand how people move between stores. They have multiple cameras covering different areas. Using Azure Vision in Foundry Tools, what should they configure to track movement paths?

Spatial analysis with person-crossing-line operations on each camera

Custom Vision with a pose estimation model

Video Indexer with face detection

Azure AI Video Indexer with object tracking

A legal firm needs to review hours of deposition videos to find all instances where a specific legal term is spoken and where a specific person appears. They want to use Azure AI Video Indexer. What is the most efficient approach?

Use Custom Vision to train a model to recognize the person

Use spatial analysis to detect the person and then manually review

Upload the videos and use the transcript and face detection insights to search

Use Azure AI Language to analyze the video's audio

Microsoft Certified:Azure AI Engineer Associate

Domain 4Objective 3

Analyze Videos AI-102 Practice Questions (Page 1)

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 1–5

1application · medium
A warehouse operator wants to detect when a person enters a restricted area and trigger an alert. They have a camera pointed at the restricted zone. Using Azure Vision in Foundry Tools, which configuration should they use?
Select an answer first
2foundation · easy
How does Azure AI Video Indexer provide access to extracted insights?
Select an answer first
3application · medium
A news organization wants to automatically generate closed captions for their video archive and make the content searchable by topic. They have the videos stored in Azure Blob Storage. What is the most efficient way to achieve this?
Select an answer first
4application · medium
A mall wants to analyze foot traffic patterns to understand how people move between stores. They have multiple cameras covering different areas. Using Azure Vision in Foundry Tools, what should they configure to track movement paths?
Select an answer first
5application · medium
A legal firm needs to review hours of deposition videos to find all instances where a specific legal term is spoken and where a specific person appears. They want to use Azure AI Video Indexer. What is the most efficient approach?
Select an answer first

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