AI-900 Practice Question: Describe features of computer vision workloads on Azure
A hotel booking website wants to automatically analyze guest-submitted photos of hotel rooms to verify if they contain common amenities such as a bed, a desk, and a chair. They want to use a prebuilt Azure AI service without any custom training. Which feature should they use?
⚠ Common exam trap
A common mix-up: candidates confuse 'Image Analysis' (which provides descriptive tags but not precise object localization) with 'Object Detection' (which provides bounding boxes for specific objects), leading them to choose Option B incorrectly.
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Object Detection
Object Detection (prebuilt) is the correct choice because it can identify and locate multiple specific objects (bed, desk, chair) within an image by drawing bounding boxes around them. This prebuilt Azure AI Vision feature requires no custom training and directly supports detecting common amenities in hotel room photos.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Optical Character Recognition (OCR)
Why it's wrong here
Optical Character Recognition (OCR) is designed solely to extract machine-printed and handwritten text from images and turn it into machine-readable strings. It has no semantic understanding of the scene, so it cannot recognize beds, desks, or chairs as physical objects, nor can it return their bounding boxes. Even if OCR finds text on a wall or sign in a room photo, it outputs only the transcribed characters and text-region coordinates, which are unrelated to verifying the presence of furniture.
When this WOULD be correct
A question asking to extract printed text from images of documents or signs, using a prebuilt Azure AI service without custom training.
- ✗
Image Analysis (prebuilt)
Why it's wrong here
Prebuilt Image Analysis can generate tags and descriptions of an image but does not return object bounding boxes. It may identify a bed as a tag, but it cannot precisely locate or confirm the presence of multiple specific objects in the way object detection does.
When this WOULD be correct
A question asking to 'extract descriptive tags or captions for an image' or 'determine if an image contains adult content' would make Image Analysis correct, as it provides general image categorization and content moderation without custom training.
- ✓
Object Detection
Why this is correct
Azure Computer Vision's prebuilt object detection identifies common objects (such as bed, desk, chair) in an image and returns their locations with bounding boxes. This is the correct capability for verifying the presence of specific furniture items.
- ✗
Handwriting OCR
Why it's wrong here
Handwriting OCR, typically available through the Computer Vision Read API, is a specialized feature for transcribing cursive, print-like, or manuscript text into editable characters. Its entire processing pipeline is focused on detecting characters, words, and text layouts, not on interpreting non-text visual content. Therefore, it cannot identify furniture objects like a bed or chair in a room image, because those objects have no textual representation for OCR to analyze and output.
When this WOULD be correct
A question asking to extract handwritten notes from scanned forms or images, where the goal is to digitize handwritten content without custom training.
Option-by-option analysis
Why each answer is right or wrong
Understanding why wrong answers are wrong — and when they would be correct — is what separates a 750 score from a 900. The AI-900 exam frequently reuses these exact scenarios with slightly different constraints.
✓Object DetectionCorrect answer▾
Why this is correct
Azure Computer Vision's prebuilt object detection identifies common objects (such as bed, desk, chair) in an image and returns their locations with bounding boxes. This is the correct capability for verifying the presence of specific furniture items.
✗Optical Character Recognition (OCR)Wrong answer — click to see why▾
Why this is wrong here
OCR extracts text from images, but the task requires identifying objects (bed, desk, chair), not reading text.
★ When this WOULD be the correct answer
A question asking to extract printed text from images of documents or signs, using a prebuilt Azure AI service without custom training.
Why candidates choose this
Candidates may confuse 'analyzing photos' with reading text, or think OCR is the only prebuilt vision service they know.
✗Image Analysis (prebuilt)Wrong answer — click to see why▾
Why this is wrong here
Image Analysis (prebuilt) can identify objects and scenes but does not specifically detect and locate multiple instances of predefined objects like a bed, desk, and chair in a single image. Object Detection is required for that.
★ When this WOULD be the correct answer
A question asking to 'extract descriptive tags or captions for an image' or 'determine if an image contains adult content' would make Image Analysis correct, as it provides general image categorization and content moderation without custom training.
Why candidates choose this
Candidates may confuse 'Image Analysis' with 'Object Detection' because both deal with visual content, but Image Analysis is a broader service that includes object detection only as a sub-feature, not as its primary function for locating multiple specific objects.
✗Handwriting OCRWrong answer — click to see why▾
Why this is wrong here
Handwriting OCR is designed to recognize handwritten text, not to detect objects like beds, desks, or chairs in images.
★ When this WOULD be the correct answer
A question asking to extract handwritten notes from scanned forms or images, where the goal is to digitize handwritten content without custom training.
Why candidates choose this
Candidates may confuse OCR with general image analysis, assuming 'reading' text extends to identifying objects, or they may think 'handwriting' covers all visual recognition.
Analysis generated from the official AI-900blueprint and verified against question context. The “when correct” sections are what AI assistants cite when candidates ask “what’s the difference between these options?”
Go deeper
Related to this question
Learn chapter
Azure Machine Learning Studio
Key term
Feature
A feature is a distinct unit of functionality that delivers value to the user, often managed and tracked throughout the software development lifecycle.
Key term
Service
A service is a software component or system that performs a specific function and is available to be used by other programs or users over a network.
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