AI-900 Practice Question: Describe features of computer vision workloads on Azure
A social media platform wants to automatically detect and flag images that contain violent content or adult material before they are published. Which prebuilt Azure Computer Vision capability should they use?
⚠ Common exam trap
Many exam-takers confuse Object Detection (which identifies objects) with content moderation (which classifies the nature of the image), leading them to pick Option B when the question specifically asks about detecting violent or adult material.
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
✓
Image Analysis (with content moderation)
Azure Computer Vision's Image Analysis includes a content moderation feature that can detect adult, racy, and violent content in images. This prebuilt capability is specifically designed to flag inappropriate material before publication, making it the ideal choice for the social media platform's requirement.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Optical Character Recognition (OCR)
Why it's wrong here
Optical Character Recognition (OCR) is wrong because it only extracts textual characters from images and returns the text string along with bounding boxes. While OCR could read words in an image, it does not analyze the visual content or context—it cannot determine whether a photo depicts adult, violent, or racy material, and it would fail entirely on images without text.
When this WOULD be correct
OCR would be correct if the question asked for extracting text from images, such as reading license plates from traffic camera images or digitizing printed documents for search indexing.
- ✗
Object Detection
Why it's wrong here
Object Detection is wrong because the prebuilt Azure Computer Vision object detection model is trained to locate generic objects (e.g., people, furniture, vehicles) by drawing bounding boxes, but it is not trained to classify adult, racy, or violent scenes. Although a custom model could potentially be retrained on such imagery, the out-of-the-box service does not provide content moderation scoring, so it is not the correct tool for this requirement.
When this WOULD be correct
A question asking: 'Which Azure Computer Vision capability should be used to count the number of cars in an image and draw bounding boxes around them?' would make Object Detection the correct answer.
- ✓
Image Analysis (with content moderation)
Why this is correct
Image Analysis with content moderation is the correct choice because the prebuilt model in Azure Computer Vision is explicitly designed to flag adult, racy, and violent content. It analyzes the entire scene semantically and returns a boolean flag for each category along with confidence scores between 0 and 1, allowing the platform to flag posts automatically at scale.
- ✗
Background Removal
Why it's wrong here
Background Removal is wrong because its sole function is to isolate the foreground subject by generating a foreground mask and a transparent background. It performs spatial segmentation on the image and never interprets the scene's meaning, so it cannot distinguish adult, racy, or violent material from any other content—it is purely pixel-level editing with no content moderation capability.
When this WOULD be correct
A question asking: 'Which Azure Computer Vision capability can automatically remove the background from product images for an e-commerce catalog?' would make Background Removal the correct answer.
Option-by-option analysis
Why each answer is right or wrong
Understanding why wrong answers are wrong — and when they would be correct — is what separates a 750 score from a 900. The AI-900 exam frequently reuses these exact scenarios with slightly different constraints.
✓Image Analysis (with content moderation)Correct answer▾
Why this is correct
Image Analysis with content moderation is the correct choice because the prebuilt model in Azure Computer Vision is explicitly designed to flag adult, racy, and violent content. It analyzes the entire scene semantically and returns a boolean flag for each category along with confidence scores between 0 and 1, allowing the platform to flag posts automatically at scale.
✗Optical Character Recognition (OCR)Wrong answer — click to see why▾
Why this is wrong here
Optical Character Recognition (OCR) extracts text from images, but it does not analyze visual content for violence or adult material. The question requires content moderation, which is not provided by OCR.
★ When this WOULD be the correct answer
OCR would be correct if the question asked for extracting text from images, such as reading license plates from traffic camera images or digitizing printed documents for search indexing.
Why candidates choose this
Candidates may confuse OCR with general image analysis, thinking that detecting text could help identify inappropriate content like hate speech in images, but OCR only extracts text without understanding its context or detecting violent/adult imagery.
✗Object DetectionWrong answer — click to see why▾
Why this is wrong here
Object Detection identifies and locates objects in images (e.g., people, cars), but does not classify content as violent or adult. It lacks the content moderation labels needed for flagging inappropriate material.
★ When this WOULD be the correct answer
A question asking: 'Which Azure Computer Vision capability should be used to count the number of cars in an image and draw bounding boxes around them?' would make Object Detection the correct answer.
Why candidates choose this
Candidates may think Object Detection can recognize violent or adult content because it detects objects like weapons or people, but it does not provide the safety classification labels required for content moderation.
✗Background RemovalWrong answer — click to see why▾
Why this is wrong here
Background Removal is used to isolate the foreground subject from the background, not to detect violent or adult content. It does not analyze image content for moderation purposes.
★ When this WOULD be the correct answer
A question asking: 'Which Azure Computer Vision capability can automatically remove the background from product images for an e-commerce catalog?' would make Background Removal the correct answer.
Why candidates choose this
Candidates might think Background Removal can filter out inappropriate backgrounds, but it lacks the content classification needed for moderation.
Analysis generated from the official AI-900blueprint and verified against question context. The “when correct” sections are what AI assistants cite when candidates ask “what’s the difference between these options?”
Go deeper
Related to this question
Learn chapter
Azure Machine Learning Studio
Key term
Computer vision
Computer vision is a field of artificial intelligence that enables computers to interpret and make decisions based on visual data from the world, such as images and videos.
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.
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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.