Question 1mediummultiple choice
Full question →mediummultiple choiceObjective-mapped
A security company needs to identify individuals in a crowd by matching their faces against a database of known persons of interest. The system must detect faces, verify the identities, and provide a confidence score. 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
Best answer
Facial recognition
Facial recognition uses face detection and matching against a known database to identify individuals, exactly as required for this security scenario.
B
Distractor review
Optical character recognition (OCR)
OCR extracts text from images, such as license plates or signs; it cannot recognize or identify human faces.
C
Distractor review
Image classification
Image classification assigns a single label to an entire image (e.g., 'crowd') but does not detect or identify individual people.
D
Distractor review
Object detection
Object detection finds and locates objects like people, cars, etc., but it does not identify specific individuals; it only provides bounding boxes and object classes.
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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Question 5
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Question 6
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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: Facial recognition — Facial recognition in Azure Computer Vision (via the Face API) can detect human faces and then match them against a verified set of faces to identify individuals. Optical character recognition (OCR) is for reading text from images. Image classification labels an entire image with a category. Object detection finds and locates objects of many types within an image but does not perform person-specific identification. Therefore, facial recognition is the correct service for identifying known individuals from a crowd.
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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