Question 1hardmultiple choice
Full question →hardmultiple choiceObjective-mapped
A medical research team wants to analyze MRI scans to identify and measure the precise boundaries of tumors. They need to assign each pixel in the image to a class (e.g., tumor, healthy tissue, background). 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
Object Detection
Object detection identifies objects and their bounding boxes (rectangular regions), but does not assign a class to every pixel, which is required for precise boundary measurement.
B
Distractor review
Image Classification
Image classification assigns a label to the entire image, not to individual pixels. It cannot provide pixel-level boundaries for tumors.
C
Best answer
Semantic Segmentation
Semantic segmentation classifies every pixel, producing a detailed map of regions (e.g., tumor boundaries), which is exactly what the research team needs.
D
Distractor review
Optical Character Recognition
OCR extracts text from images, not relevant for analyzing tumor boundaries in MRI scans.
Common exam trap
Common exam trap: usable hosts are not the same as total addresses
Subnetting questions often tempt you into counting all addresses. In normal IPv4 subnets, the network and broadcast addresses are not usable host addresses.
Technical deep dive
How to think about this question
Subnetting questions test whether you can identify the network, broadcast address, usable range, mask and correct subnet. Slow down enough to calculate the block size correctly.
KKey Concepts to Remember
- CIDR notation defines the prefix length.
- Block size helps identify subnet boundaries.
- Network and broadcast addresses are not usable hosts in normal IPv4 subnets.
- The required host count determines the smallest suitable subnet.
TExam Day Tips
- Write the block size before choosing the subnet.
- Check whether the question asks for hosts, subnets or a specific address range.
- Do not confuse /24, /25, /26 and /27 host counts.
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?
CIDR notation defines the prefix length.
What is the correct answer to this question?
The correct answer is: Semantic Segmentation — Semantic segmentation is a computer vision technique that classifies each pixel in an image into a category, producing a dense, pixel-level mask. This is ideal for applications like medical imaging where precise boundaries are required. Azure offers this capability through services like Custom Vision and Azure Cognitive Services for Computer Vision (Image Analysis with segmentation).
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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