AI-900 Practice Question: Describe features of computer vision workloads on Azure
What is 'celebrity recognition' in Azure AI Vision and what are its responsible AI limitations?
⚠ Common exam trap
Many exam-takers confuse celebrity recognition with general facial recognition or identification, assuming it can identify any person in an image, when in fact it is restricted to a curated set of public figures and has responsible AI access controls.
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Recognising well-known public figures in images, with responsible AI access restrictions
Celebrity recognition in Azure AI Vision is a specialized feature that identifies well-known public figures (e.g., actors, politicians, athletes) in images. It is not a general-purpose facial identification service; instead, it relies on a curated dataset of public figures and is subject to responsible AI access restrictions, including limited availability and usage policies to prevent misuse.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
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Identifying any person by their face in a photograph using a global identity database
Why it's wrong here
This is incorrect because Azure Face API does not rely on a global identity database that includes every person on earth. Celebrity recognition uses a fixed, curated list of public figures maintained by Microsoft, not a worldwide registry of all individuals. Identifying arbitrary people by face would require an Azure Face recognition resource with custom enrollment and strict access controls, and even then it is limited to law enforcement or approved scenarios, not a blanket global identity lookup.
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Recognising well-known public figures in images, with responsible AI access restrictions
Why this is correct
This accurately describes Azure's Face API celebrity recognition, a capability that matches detected faces against a curated set of well-known public figures. Access is restricted through an approval process to enforce responsible use, and the feature cannot be used for surveillance, tracking individuals without consent, or identifying private citizens. The model is tuned for entertainment, media, and public awareness scenarios, not general-purpose person identification.
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Automatically tagging images with the names of all people photographed at an event
Why it's wrong here
This fails because celebrity recognition is not designed for mass event photography and cannot automatically name every attendee. The feature only matches against a restricted list of well-known public figures, so private individuals photographed at an event would be ignored. Moreover, tagging photos of private individuals en masse would violate Microsoft's responsible AI guidelines, which explicitly prohibit creating a database of private people without consent.
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A feature available to all Azure customers for identifying any person in any image
Why it's wrong here
This option incorrectly suggests that any Azure customer can use the Face API to identify arbitrary people in images. In practice, celebrity recognition is a gated feature that requires Microsoft approval, and its scope is limited to a curated set of public figures — not 'any person.' Additionally, the underlying model cannot recognize private individuals without enrolling them in a separate, permissioned face identification system.
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Responsible AI Principles
Key term
Feature
A feature is a distinct unit of functionality that delivers value to the user, often managed and tracked throughout the software development lifecycle.
Key term
Service
A service is a software component or system that performs a specific function and is available to be used by other programs or users over a network.
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
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