- A
Read API
Why wrong: OCR, not content moderation.
- B
Analyze API with visualFeatures set to 'Adult'
Detects adult/racy content.
- C
Detect API
Why wrong: Object detection.
- D
Describe API
Why wrong: Generates image captions.
Question 440 of 993
AI-102 Implement computer vision solutions Practice Question
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.
A company uses Azure Computer Vision to moderate user-generated content. The solution must detect adult content and flag it. Which API should you call?
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 API with visualFeatures set to 'Adult'
The Analyze API with the visualFeatures parameter set to 'Adult' is the correct choice because Azure Computer Vision's Analyze Image operation includes an 'Adult' category that specifically detects adult, racy, and gory content in images. This API returns a confidence score (0 to 1) for each category, allowing the solution to flag content based on a threshold. The other APIs do not provide adult content moderation capabilities.
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.
- ✗
Read API
Why it's wrong here
OCR, not content moderation.
- ✓
Analyze API with visualFeatures set to 'Adult'
Why this is correct
Detects adult/racy content.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Detect API
Why it's wrong here
Object detection.
- ✗
Describe API
Why it's wrong here
Generates image captions.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates may confuse the Analyze API's 'Adult' feature with the 'Description' or 'Tags' features, assuming that general image analysis can detect adult content, but only the explicit 'Adult' visualFeature parameter provides the specialized moderation scores.
Detailed technical explanation
How to think about this question
The Analyze API's 'Adult' visual feature leverages a multi-label classification model trained on thousands of labeled images to distinguish between adult, racy, and gory categories. The API returns separate confidence scores for each category, and you can set a custom threshold (e.g., 0.5) to flag content. In a real-world scenario, you might combine this with the 'Categories' feature to also detect offensive or suggestive content in user-generated images for social media platforms.
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
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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 API with visualFeatures set to 'Adult' — The Analyze API with the visualFeatures parameter set to 'Adult' is the correct choice because Azure Computer Vision's Analyze Image operation includes an 'Adult' category that specifically detects adult, racy, and gory content in images. This API returns a confidence score (0 to 1) for each category, allowing the solution to flag content based on a threshold. The other APIs do not provide adult content moderation capabilities.
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.
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Last reviewed: Jul 4, 2026
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