- A
Describe Image API
Why wrong: Describe Image generates natural language descriptions.
- B
OCR API
Why wrong: OCR extracts printed text.
- C
Analyze Image API with the 'adult' parameter
This parameter enables adult content detection.
- D
Tag Image API
Why wrong: Tag Image returns a list of tags.
Question 754 of 993
Moderate Adult Content Using Azure AI Computer Vision
This AI-102 practice question tests your understanding of implement computer vision solutions. 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.
You need to detect if a photo contains adult or racy content. Which Azure AI Computer Vision feature should you use?
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
✓
Analyze Image API with the 'adult' parameter
The Analyze Image API with the 'adult' parameter is the correct feature because it specifically detects adult, racy, and gory content in images. When you call the Analyze Image API and include the 'adult' visual feature, Azure AI Computer Vision returns a boolean flag and a confidence score for adult and racy content classification, enabling content moderation.
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.
- ✗
Describe Image API
Why it's wrong here
Describe Image generates natural language descriptions.
- ✗
OCR API
Why it's wrong here
OCR extracts printed text.
- ✓
Analyze Image API with the 'adult' parameter
Why this is correct
This parameter enables adult content detection.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Tag Image API
Why it's wrong here
Tag Image returns a list of tags.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often confuse the Tag Image API's generic object tagging with the specialized adult content detection feature, assuming tags like 'swimsuit' or 'underwear' would suffice, but only the Analyze Image API with the 'adult' parameter provides the explicit moderation scores required by the question.
Detailed technical explanation
How to think about this question
Under the hood, the Analyze Image API with the 'adult' parameter uses a classification model trained on a large dataset of explicit and non-explicit images to output 'isAdultContent' (boolean) and 'adultScore' (0-1), as well as 'isRacyContent' and 'racyScore'. In a real-world scenario, you might integrate this into a social media platform to automatically flag user-uploaded photos before they are published, using a threshold (e.g., score > 0.8) to trigger manual review.
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
An e-commerce site experiences heavy traffic on Black Friday and near-zero traffic during off-peak weeks. Rather than provisioning permanent large VMs, the team uses auto-scaling groups that add capacity automatically under load and reduce it overnight. Questions like this test whether you understand elasticity, availability zones, and cloud compute scaling patterns.
What to study next
Got this wrong? Here's your next step.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
- →
Implement computer vision solutions — study guide chapter
Learn the concepts, then practise the questions
- →
Implement computer vision solutions practice questions
Targeted practice on this topic area only
- →
All AI-102 questions
993 questions across all exam domains
- →
Microsoft Azure AI Engineer Associate AI-102 study guide
Full concept coverage aligned to exam objectives
- →
AI-102 practice test guide
How to use practice tests most effectively before exam day
Related practice questions
Related AI-102 practice-question pages
Use these pages to review the topic behind this question. This is how one missed question becomes focused revision.
Implement an agentic solution practice questions
Practise AI-102 questions linked to Implement an agentic solution.
Implement computer vision solutions practice questions
Practise AI-102 questions linked to Implement computer vision solutions.
Implement knowledge mining and information extraction solutions practice questions
Practise AI-102 questions linked to Implement knowledge mining and information extraction solutions.
Implement image and video processing solutions practice questions
Practise AI-102 questions linked to Implement image and video processing solutions.
Implement natural language processing solutions practice questions
Practise AI-102 questions linked to Implement natural language processing solutions.
Implement generative AI solutions practice questions
Practise AI-102 questions linked to Implement generative AI solutions.
Implement agentic AI solutions practice questions
Practise AI-102 questions linked to Implement agentic AI solutions.
Implement knowledge mining and document intelligence solutions practice questions
Practise AI-102 questions linked to Implement knowledge mining and document intelligence solutions.
Plan and manage an Azure AI solution practice questions
Practise AI-102 questions linked to Plan and manage an Azure AI solution.
Implement content moderation solutions practice questions
Practise AI-102 questions linked to Implement content moderation solutions.
AI-102 fundamentals practice questions
Practise AI-102 questions linked to AI-102 fundamentals.
AI-102 scenario practice questions
Practise AI-102 questions linked to AI-102 scenario.
Practice this exam
Start a free AI-102 practice session
Short sessions build daily habit. Longer sessions build exam-day stamina. Try a timed session to simulate real conditions.
FAQ
Questions learners often ask
What does this AI-102 question test?
Implement computer vision solutions — This question tests Implement computer vision solutions — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Analyze Image API with the 'adult' parameter — The Analyze Image API with the 'adult' parameter is the correct feature because it specifically detects adult, racy, and gory content in images. When you call the Analyze Image API and include the 'adult' visual feature, Azure AI Computer Vision returns a boolean flag and a confidence score for adult and racy content classification, enabling content moderation.
What should I do if I get this AI-102 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 →
Same concept, more angles
1 more ways this is tested on AI-102
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 company wants to moderate user-generated images for adult content. Which Azure AI Vision feature should they use?
easy- A.Custom Vision with a custom adult classifier
- B.Face API
- ✓ C.Analyze Image API with moderation categories
- D.OCR
Why C: The Analyze Image API in Azure AI Vision includes built-in moderation categories for detecting adult, racy, and gory content in images. This feature is specifically designed for content moderation without requiring custom training, making it the correct choice for moderating user-generated images for adult content.
Keep practising
More AI-102 practice questions
- Drag and drop the steps to set up Azure AI Content Safety for content moderation into the correct order.
- Drag and drop the steps to configure an Azure AI Search index with a custom skill into the correct order.
- You have an Azure AI Search index defined as shown in the exhibit. Users want to filter search results by author and by…
- Refer to the exhibit. You are configuring an Azure AI Video Indexer job. The exhibit shows a JSON snippet of the job con…
- Refer to the exhibit. You are configuring the Azure AI Vision Analyze Image API. You need to ensure that the response in…
- A company is deploying a generative AI solution using Azure OpenAI Service to generate product descriptions. The solutio…
Last reviewed: Jul 4, 2026
This AI-102 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-102 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.