- A
Object detection
Why wrong: Both can detect objects; Custom Vision requires training.
- B
Image classification
Why wrong: Both services can classify; Custom Vision requires training.
- C
Face detection
Why wrong: Not a core Computer Vision feature; separate Face API.
- D
Optical character recognition (OCR)
Pre-built OCR only in Computer Vision.
- E
Image captioning
Pre-built captioning only in Computer Vision.
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.
Which TWO features are available in Azure Computer Vision but not in Azure Custom Vision?
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
Optical character recognition (OCR)
A and E are correct. Azure Computer Vision provides pre-built optical character recognition (OCR) and image captioning. Custom Vision is for custom models and does not include these pre-built capabilities. B and C are wrong because Custom Vision can do image classification and object detection with custom training. D is wrong because face detection is available in Face API, not directly in Computer Vision.
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.
- ✗
Object detection
Why it's wrong here
Both can detect objects; Custom Vision requires training.
- ✗
Image classification
Why it's wrong here
Both services can classify; Custom Vision requires training.
- ✗
Face detection
Why it's wrong here
Not a core Computer Vision feature; separate Face API.
- ✓
Optical character recognition (OCR)
Why this is correct
Pre-built OCR only in Computer Vision.
Related concept
Read the scenario before looking for a memorised answer.
- ✓
Image captioning
Why this is correct
Pre-built captioning only in Computer Vision.
Related concept
Read the scenario before looking for a memorised answer.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Many certification questions include familiar terms but test a specific constraint. Read the exact wording before choosing an answer that is generally true but wrong for this case.
Detailed technical explanation
How to think about this question
This question should be treated as a scenario, not a definition check. Identify the problem, the constraint and the best action. Then compare each option against those facts.
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.
- Use explanations to understand the rule behind the answer.
TExam Day Tips
- Underline the problem statement mentally.
- 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.
What to study next
Got this wrong? Here's your next step.
Identify which AI-102 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
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Implement computer vision solutions — study guide chapter
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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: Optical character recognition (OCR) — A and E are correct. Azure Computer Vision provides pre-built optical character recognition (OCR) and image captioning. Custom Vision is for custom models and does not include these pre-built capabilities. B and C are wrong because Custom Vision can do image classification and object detection with custom training. D is wrong because face detection is available in Face API, not directly in Computer Vision.
What should I do if I get this AI-102 question wrong?
Identify which AI-102 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
About these practice questions
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Last reviewed: Jun 20, 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.
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