The answer is Image Analysis with content moderation, the prebuilt Azure Computer Vision capability that directly addresses the need to automatically detect and flag adult and violent content in images. This feature uses trained machine learning models to classify images into categories such as adult, racy, gory, and violent, assigning confidence scores that allow a social media platform to block or review flagged content before publication. On the AI-900 exam, this scenario tests your understanding of prebuilt Azure AI services versus custom solutions—a common trap is confusing Image Analysis with the Custom Vision service, which requires training your own model. Remember that Image Analysis’s content moderation is a ready-to-use, no-code feature for inappropriate content detection, while Custom Vision is for specialized, domain-specific image classification. A simple memory tip: “Image Analysis moderates out of the box; Custom Vision needs your own box.”
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.
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?
Why wrong: OCR extracts text from images and is not designed to detect violent or adult content.
B
Object Detection
Why wrong: Object Detection identifies and locates objects within an image. While it could be trained to detect specific objects related to content, the prebuilt model is not tailored for adult content detection.
C
Image Analysis (with content moderation)
Image Analysis includes a content moderation feature that can detect adult, racy, and violent content. It provides a confidence score for flagged content.
D
Background Removal
Why wrong: Background Removal separates the subject from the background and is unrelated to content moderation.
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)
Option C is correct because 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.
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.
✗
Optical Character Recognition (OCR)
Why it's wrong here
OCR extracts text from images and is not designed to detect violent or adult content.
✗
Object Detection
Why it's wrong here
Object Detection identifies and locates objects within an image. While it could be trained to detect specific objects related to content, the prebuilt model is not tailored for adult content detection.
✓
Image Analysis (with content moderation)
Why this is correct
Image Analysis includes a content moderation feature that can detect adult, racy, and violent content. It provides a confidence score for flagged content.
Related concept
Read the scenario before looking for a memorised answer.
✗
Background Removal
Why it's wrong here
Background Removal separates the subject from the background and is unrelated to content moderation.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often 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.
Detailed technical explanation
How to think about this question
Azure Computer Vision's content moderation uses a multi-label classification model trained on thousands of images to assign confidence scores for adult, racy, and violent categories. The API returns an `isAdultContent`, `isRacyContent`, and `isViolentContent` boolean along with a confidence score (0–1), allowing developers to set custom thresholds for flagging. In practice, this enables real-time moderation pipelines where images are analyzed before storage or display, reducing human review workload.
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 media company stores terabytes of video archives that are accessed once a year for audit purposes. Moving these objects to a cold storage tier (Azure Archive, S3 Glacier, or Google Nearline) costs a fraction of hot storage. Questions like this test whether you understand storage tiers, access frequency tradeoffs, and retrieval latency requirements.
Related glossary terms
Concepts from this question explained
These glossary pages explain the core terms tested in this AI-900 question in full detail.
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: Image Analysis (with content moderation) — Option C is correct because 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.
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.
About these practice questions
Courseiva creates original exam-style practice questions with explanations and wrong-answer analysis. It does not publish real exam questions, exam dumps, or protected exam content. Learn why practice questions differ from exam dumps →
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 social media platform wants to automatically review user-uploaded images to flag any that contain explicit or suggestive adult content, as well as violent imagery. Which Azure Computer Vision feature should they use?
medium
A.Optical Character Recognition (OCR)
B.Image Analysis - Tags
✓ C.Image Analysis - Moderate content
D.Face Detection
Why C: Option C is correct because the 'Moderate content' feature of Azure Computer Vision is specifically designed to detect adult, suggestive, and violent content in images. It returns a binary flag and confidence scores for categories like adult, racy, and gory, making it the appropriate choice for automatically flagging explicit or violent user-uploaded images.
Last reviewed: Jun 11, 2026
Question Discussion
Share a tip, memory trick, or ask about the reasoning behind this question. Do not post real exam questions, leaked content, braindumps, or copyrighted exam material. Comments are moderated and may be removed without notice.
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.
Question Discussion
Share a tip, memory trick, or ask about the reasoning behind this question. Do not post real exam questions, leaked content, braindumps, or copyrighted exam material. Comments are moderated and may be removed without notice.
Sign in to join the discussion.