Question 1mediummultiple choice
Full question →mediummultiple choiceObjective-mapped
A security company wants to monitor a restricted area using camera feeds. The system must detect if a person is present in each video frame and draw a rectangle around each detected person. Which Azure Cognitive Services 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
Image Analysis (Describe image)
Image Analysis generates a human-readable description of the image content and returns tags, but it does not provide bounding box coordinates for detected objects.
B
Best answer
Object Detection
Object Detection is designed to locate and classify multiple objects in an image, returning bounding box coordinates for each detected object. It can detect people among other object classes.
C
Distractor review
Optical Character Recognition (OCR)
OCR extracts printed or handwritten text from images. It cannot detect people or draw bounding boxes around non-text objects.
D
Distractor review
Face Detection
Face Detection identifies human faces and returns bounding boxes around each face, not the full body. For detecting a person (whole body), object detection is more suitable.
Common exam trap
Common exam trap: OSPF can fail even when IP connectivity looks correct
OSPF neighbour formation depends on matching areas, timers, network type, authentication and passive-interface behaviour. Do not choose an answer only because the devices can ping.
Technical deep dive
How to think about this question
OSPF questions usually test the details that control adjacency and route selection. Read the neighbour state, area, router ID and interface configuration before deciding what is wrong.
KKey Concepts to Remember
- OSPF neighbours must agree on key parameters.
- Router ID selection can affect neighbour relationships and LSDB output.
- OSPF cost influences the preferred path.
- A route can appear in OSPF information but not become the installed route.
TExam Day Tips
- Check area mismatch first when OSPF adjacency fails.
- Review passive interfaces when a network is advertised but no neighbour forms.
- Use show ip ospf neighbor and show ip route clues carefully.
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 4
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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?
OSPF neighbours must agree on key parameters.
What is the correct answer to this question?
The correct answer is: Object Detection — Object Detection in Azure Computer Vision can locate and identify multiple objects in an image by drawing bounding boxes around them. For detecting people specifically, the object detection model can be used with a 'person' class. Face Detection (D) only detects human faces, not the whole body. Image Analysis (A) describes the content but does not provide bounding box coordinates. OCR (C) extracts text from images.
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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