Question 1mediummultiple choice
Full question →mediummultiple choiceObjective-mapped
A logistics company processes packages on an automated conveyor belt. They need to read shipping labels that are often rotated or skewed, and also detect whether a 'FRAGILE' sticker is present on the package. Which combination of Azure Computer Vision capabilities 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
OCR (Read API) and Object Detection
Correct. OCR extracts text from images, even when rotated or skewed. Object Detection identifies and locates specific objects (like a 'FRAGILE' sticker) within the image.
B
Distractor review
Image Classification and OCR (Read API)
Incorrect. Image Classification can classify the entire image but does not provide location information for the sticker. The scenario requires detecting the sticker's presence, which Object Detection does better.
C
Distractor review
Object Detection and Face Detection
Incorrect. While Object Detection can locate the sticker, Face Detection is designed for human faces and is not useful for reading labels or detecting stickers. OCR is needed for text.
D
Distractor review
Image Classification and Face Detection
Incorrect. Neither capability addresses the need to read rotated text (OCR is needed) nor does Face Detection help with sticker detection.
Common exam trap
Common exam trap: NAT rules depend on direction and matching traffic
NAT is not only about the public address. The inside/outside interface roles and the ACL or rule that matches traffic are just as important.
Technical deep dive
How to think about this question
NAT questions usually test address translation, overload/PAT behaviour, static mappings and whether the right traffic is being translated. Read the interface direction and address terms carefully.
KKey Concepts to Remember
- Static NAT maps one inside address to one outside address.
- PAT allows many inside hosts to share one public address using ports.
- Inside local and inside global describe the private and translated addresses.
- NAT ACLs identify traffic for translation, not always security filtering.
TExam Day Tips
- Identify inside and outside interfaces first.
- Check whether the scenario needs static NAT, dynamic NAT or PAT.
- Do not confuse NAT matching ACLs with normal packet-filtering intent.
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 6
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FAQ
Questions learners often ask
What does this AI-900 question test?
Static NAT maps one inside address to one outside address.
What is the correct answer to this question?
The correct answer is: OCR (Read API) and Object Detection — Reading rotated or skewed text from shipping labels is best handled by the Optical Character Recognition (OCR) capabilities of Azure Computer Vision, specifically the Read API, which can extract printed text from images regardless of orientation. Detecting the presence and exact location of a specific sticker (object detection) is best done using the Object Detection capability. Image Classification would only determine if a sticker is present in the image but not where it is, and it is less precise for detecting a specific small object. Face detection is irrelevant. Therefore, the correct combination is OCR (Read API) for text and Object Detection for the sticker.
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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