AI-900 Practice Question: Describe features of computer vision workloads on Azure
What capability does Azure AI Vision's 'celebrity recognition' feature provide?
⚠ Common exam trap
Many candidates confuse celebrity recognition (a pre-built, domain-specific model for identifying famous people) with general facial recognition or verification, which are separate capabilities in Azure AI Vision with different use cases and APIs.
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
✓
Identifying well-known public figures in images and returning their names with confidence scores
Azure AI Vision's celebrity recognition feature is a specialized domain-specific model that identifies well-known public figures (e.g., actors, politicians, athletes) within images. It returns the recognized celebrity's name along with a confidence score, enabling applications like media indexing or social media analysis. This capability is built on top of the general object detection and facial recognition models, but is pre-trained on a curated dataset of celebrity faces.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Automatically scheduling meetings with celebrities based on their availability
Why it's wrong here
Meeting scheduling depends on calendar systems, availability queries, time-zone conversions, and user invitation workflows—none of which are implemented in an image-recognition API. Celebrity recognition only processes pixels and returns identifiers; it has no access to calendars or ability to modify events. Attaching a name to a photo cannot produce a calendar booking, so this option describes an entirely unrelated automation.
- ✓
Identifying well-known public figures in images and returning their names with confidence scores
Why this is correct
Azure Computer Vision's celebrity recognition applies a specialized domain model trained on thousands of well-known public figures to detect, localize, and label celebrities in images. For each recognized face it returns the celebrity's name with a confidence score, enabling media tagging, content indexing, and marketing analytics. This exactly matches the definition of the capability, making it the correct answer for this question.
- ✗
Generating fictional celebrity lookalikes for entertainment applications
Why it's wrong here
Celebrity recognition is a discriminative task that identifies real, known individuals in existing images; it does not create or alter imagery. Generating fictional lookalikes requires generative models such as GANs or diffusion-based synthesizers, which produce new synthetic faces. Confusing these two capabilities conflates classification with generation, so this option misstates what the Azure computer vision service performs.
- ✗
Verifying celebrity identities for event access control
Why it's wrong here
Celebrity recognition is a visual classification model, not a security verification tool. Access control relies on face verification, which compares a live face against a specific enrolled identity using liveness and anti-spoofing checks. Celebrity recognition only returns the name of a known public figure for media applications and could grant access to anyone resembling that figure, so it is unsuitable for secure event entry.
Go deeper
Related to this question
Learn chapter
Azure Machine Learning Studio
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
Object detection
Object detection is a computer vision technology that identifies and locates specific objects within an image or video.
About these practice questions
Courseiva writes every AI-900 question from scratch — 985 in total, each with an explanation and a wrong-answer breakdown. None are copied from real exams or dumps. Learn why practice questions differ from exam dumps →
JA
Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
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.