Building a Custom Image Classifier with Azure Custom Vision
An art gallery wants to build a mobile app that allows visitors to take a photo of a specific painting and receive detailed information about that artwork. The gallery has a library of high-quality images of each painting in their collection. Which Azure AI service should they use to build this identification capability?
Quick Answer
The answer is Azure Custom Vision, because it enables the art gallery to train a custom image classifier using their library of high-quality painting images, allowing the mobile app to identify specific artworks from visitor photos and return detailed information. This service is designed for custom classification scenarios where pre-built models like those in Computer Vision cannot recognize unique objects such as individual paintings. On the AI-900 exam, this question tests your understanding of when to choose Custom Vision over other Azure AI services—a common trap is selecting Computer Vision, which only identifies generic objects, not custom ones. Remember the key distinction: if you need to identify your own specific items (like paintings, products, or logos), the answer is always Custom Vision. A helpful memory tip: “Custom for custom content”—if the objects are unique to your dataset, Custom Vision is the correct choice.
⚠ Common exam trap
Many candidates confuse Azure Computer Vision's pre-built image analysis with Custom Vision, assuming the former can be customized for specific objects, but only Custom Vision supports training on custom datasets.
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
✓
Azure Custom Vision
Azure Custom Vision is the correct choice because it allows the gallery to train a custom image classification model using their library of high-quality painting images. This service enables the app to identify specific artworks from user-captured photos and return detailed information, as it is designed for custom classification scenarios where pre-built models are insufficient.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Azure Custom Vision
Why this is correct
Correct. Custom Vision enables you to train a custom image classifier using your own labeled images, which is exactly what the gallery needs to identify specific paintings.
- ✗
Azure Computer Vision (pre-built image analysis)
Why it's wrong here
Incorrect. The pre-built image analysis can describe objects and scenes but cannot recognize specific, custom objects like particular paintings without training.
- ✗
Azure Face API
Why it's wrong here
Incorrect. Face API is designed for detecting, recognizing, and analyzing human faces, not artworks.
- ✗
Azure Computer Vision (OCR)
Why it's wrong here
Incorrect. OCR extracts text from images; paintings may have text but the app needs to identify the artwork itself, not just any embedded text.
Go deeper
Related to this question
Learn chapter
Regression and Classification
Key term
Image classification
Image classification is the process of teaching a computer to look at a picture and decide what category or label best describes the main object or scene in that picture.
Key term
Model
In IT and AI, a model is a trained mathematical representation that learns patterns from data to make predictions or decisions.
About these practice questions
One of 985 original AI-900 practice questions on Courseiva, each with a full explanation and wrong-answer analysis — not exam dumps or protected exam content. Learn why practice questions differ from exam dumps →
Same concept, more angles
1 more way this is tested on AI-900
These questions test the same concept from different angles. Work through them to make sure you can recognise it however the exam phrases it.
Variation 1. A museum wants to create an app that allows visitors to take a photo of a painting and receive information about the artist, year, and style. The app needs to identify the painting from a database of thousands of artworks. Which Azure Computer Vision capability is most suitable?
medium- A.Optical Character Recognition (OCR)
- ✓ B.Image classification
- C.Object detection
- D.Face detection
Why B: Image classification is the correct choice because the app needs to assign a single label (the specific painting) to the entire photo. Azure Computer Vision's image classification models are trained to recognize and categorize entire images into predefined classes, which matches the requirement of identifying a painting from a database of thousands of artworks based on the visual content of the photo.
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.