- A
Identifying any person by their face in a photograph using a global identity database
Why wrong: Identifying private individuals requires Azure Face API with strict access controls — celebrity recognition is limited to public figures.
- B
Recognising well-known public figures in images, with responsible AI access restrictions
Celebrity recognition identifies public figures but has responsible AI controls — restricted use cases, no surveillance, no private individuals.
- C
Automatically tagging images with the names of all people photographed at an event
Why wrong: Mass event photography tagging would involve private individuals — celebrity recognition is scoped to publicly known figures with access controls.
- D
A feature available to all Azure customers for identifying any person in any image
Why wrong: Celebrity recognition has access restrictions and use-case limitations — not openly available for any identification use.
Quick Answer
The correct answer is that celebrity recognition in Azure AI Vision identifies well-known public figures in images, with responsible AI access restrictions limiting its use. This feature relies on a curated dataset of actors, politicians, and athletes, not a general-purpose facial identification service, which is why Microsoft enforces strict usage policies and limited availability to prevent misuse like surveillance or bias. On the AI-900 exam, this tests your understanding of how Azure AI Vision applies responsible AI principles to specialized features, often appearing as a scenario where you must distinguish between general facial recognition and restricted celebrity recognition. A common trap is assuming celebrity recognition is open for any public use, but the key limitation is its access restrictions—it’s gated behind an application process. Memory tip: think “curated and gated” to recall that celebrity recognition uses a curated dataset and is gated by responsible AI policies.
AI-900 Practice Question: Describe features of computer vision workloads on Azure
This AI-900 practice question tests your understanding of describe features of computer vision workloads on azure. Match the stated requirement to the specific cloud service, access model, or configuration option — many options are valid in isolation but not for this scenario. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.
What is 'celebrity recognition' in Azure AI Vision and what are its responsible AI limitations?
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.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Identifying any person by their face in a photograph using a global identity database
Why it's wrong here
Identifying private individuals requires Azure Face API with strict access controls — celebrity recognition is limited to public figures.
- ✓
Recognising well-known public figures in images, with responsible AI access restrictions
Why this is correct
Celebrity recognition identifies public figures but has responsible AI controls — restricted use cases, no surveillance, no private individuals.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Automatically tagging images with the names of all people photographed at an event
Why it's wrong here
Mass event photography tagging would involve private individuals — celebrity recognition is scoped to publicly known figures with access controls.
- ✗
A feature available to all Azure customers for identifying any person in any image
Why it's wrong here
Celebrity recognition has access restrictions and use-case limitations — not openly available for any identification use.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates 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.
Detailed technical explanation
How to think about this question
Under the hood, Azure AI Vision's celebrity recognition uses a pre-trained deep learning model that matches facial features against a curated gallery of known public figures. The service does not store or compare against a global identity database; instead, it operates on a limited, vetted set to reduce privacy risks. A real-world scenario is a media company using it to automatically tag celebrities in news photos, but it cannot be used for surveillance or identification of non-public individuals.
KKey Concepts to Remember
- Read the scenario before looking for a memorised answer.
- Find the constraint that changes the correct option.
- Eliminate answers that are true in general but not in this case.
TExam Day Tips
- Watch for words such as best, first, most likely and least administrative effort.
- Review why wrong options are wrong, not only why the correct option is correct.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
How this comes up in practice
A company's IT admin needs to give a contractor read-only access to production logs without sharing account credentials. Using role-based access control (RBAC) and temporary scoped permissions — not a permanent shared password — is the correct pattern. Questions like this test whether you can apply least-privilege access across cloud identity services.
What to study next
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FAQ
Questions learners often ask
What does this AI-900 question test?
Describe features of computer vision workloads on Azure — This question tests Describe features of computer vision workloads on Azure — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: 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.
What should I do if I get this AI-900 question wrong?
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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Last reviewed: Jun 11, 2026
This AI-900 practice question is part of Courseiva's free Microsoft certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the AI-900 exam.
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