Question 1mediummultiple choice
Full question →mediummultiple choiceObjective-mapped
A museum wants to create an application that automatically generates descriptive captions for uploaded photos of artworks. The captions should describe the main subject, scene, and artistic style. Which Azure Computer Vision capability should they use?
Answer choices
Why each option matters
Good practice is not just finding the correct option. The wrong answers often show the exact trap the exam wants you to fall into.
A
Distractor review
Optical Character Recognition (OCR)
OCR extracts printed or handwritten text from images, but it does not generate descriptive captions about the image content.
B
Best answer
Image Analysis (with description feature)
Image Analysis includes a description feature that generates human-readable captions summarizing the image content, which fits the requirement for artwork captions.
C
Distractor review
Face API
The Face API detects and analyzes human faces, such as age, emotion, and identity, but it does not describe general image content.
D
Distractor review
Custom Vision (object detection)
Custom Vision allows training custom object detection models, but it requires labeled data and is intended for recognizing specific objects, not generating descriptive captions.
Common exam trap
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.
Technical deep dive
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.
Related practice questions
Related AI-900 practice-question pages
Use these pages to review the topic behind this question. This is how one missed question becomes focused revision.
More questions from this exam
Keep practising from the same exam bank, or move into a focused topic page if this question exposed a weak area.
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FAQ
Questions learners often ask
What does this AI-900 question test?
Read the scenario before looking for a memorised answer.
What is the correct answer to this question?
The correct answer is: Image Analysis (with description feature) — The Image Analysis service in Azure Computer Vision uses pre-trained models to analyze images and generate human-readable captions that describe the content. It can identify objects, scenes, and even abstract concepts like artistic style. OCR extracts text, Face API handles face detection, and Custom Vision is for training custom models on specific objects.
What should I do if I get this AI-900 question wrong?
Then try more questions from the same exam bank and focus on understanding why the wrong options are tempting.
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