- A
A feature that makes AI models accessible to users without programming expertise
Why wrong: No-code AI access is a developer democratisation feature — Seeing AI is a specific accessibility app for blind/low-vision users.
- B
An app using Azure AI Vision to describe scenes, read text, and identify objects aloud for blind users
Seeing AI applies computer vision APIs — scene description, OCR, face recognition — as accessibility tools for visual impairment.
- C
Accessibility compliance checking software that validates AI applications meet WCAG standards
Why wrong: WCAG compliance tools check web accessibility standards — Seeing AI uses AI for direct assistive functionality.
- D
Screen reader software that makes Azure portal accessible to keyboard-only users
Why wrong: Screen readers are OS/browser accessibility tools — Seeing AI is a specific mobile AI application for visual assistance.
AI-900 Practice Question: Describe Artificial Intelligence workloads and considerations
This AI-900 practice question tests your understanding of describe artificial intelligence workloads and considerations. Match the stated requirement to the specific cloud service, access model, or configuration option — many options are valid in isolation but not for this scenario. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.
What is 'image recognition for accessibility' and how does Microsoft's Seeing AI app use it?
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
An app using Azure AI Vision to describe scenes, read text, and identify objects aloud for blind users
Option B is correct because Microsoft's Seeing AI app leverages Azure AI Vision (specifically the Computer Vision API) to perform real-time image recognition for accessibility. It describes scenes, reads text via optical character recognition (OCR), and identifies objects aloud, enabling blind or low-vision users to understand their surroundings through audio feedback.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
A feature that makes AI models accessible to users without programming expertise
Why it's wrong here
No-code AI access is a developer democratisation feature — Seeing AI is a specific accessibility app for blind/low-vision users.
- ✓
An app using Azure AI Vision to describe scenes, read text, and identify objects aloud for blind users
Why this is correct
Seeing AI applies computer vision APIs — scene description, OCR, face recognition — as accessibility tools for visual impairment.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Accessibility compliance checking software that validates AI applications meet WCAG standards
Why it's wrong here
WCAG compliance tools check web accessibility standards — Seeing AI uses AI for direct assistive functionality.
- ✗
Screen reader software that makes Azure portal accessible to keyboard-only users
Why it's wrong here
Screen readers are OS/browser accessibility tools — Seeing AI is a specific mobile AI application for visual assistance.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates confuse 'accessibility' in the context of AI (making AI usable for people with disabilities) with 'accessibility' of AI tools themselves (e.g., no-code platforms), leading them to pick Option A.
Detailed technical explanation
How to think about this question
Under the hood, Seeing AI uses Azure Cognitive Services' Computer Vision API to perform tasks like object detection (via pre-trained deep learning models), optical character recognition (OCR) for text extraction, and scene description using image captioning models. A subtle behavior is that the app can also recognize currency denominations and barcodes, which requires fine-tuned classifiers beyond generic object detection. In a real-world scenario, a user points their phone at a restaurant menu; Seeing AI reads the text aloud, but if the menu has stylized fonts or glare, the OCR may struggle, highlighting the importance of preprocessing like contrast adjustment.
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.
TExam Day Tips
- 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.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
How this comes up in practice
A media company stores terabytes of video archives that are accessed once a year for audit purposes. Moving these objects to a cold storage tier (Azure Archive, S3 Glacier, or Google Nearline) costs a fraction of hot storage. Questions like this test whether you understand storage tiers, access frequency tradeoffs, and retrieval latency requirements.
What to study next
Got this wrong? Here's your next step.
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FAQ
Questions learners often ask
What does this AI-900 question test?
Describe Artificial Intelligence workloads and considerations — This question tests Describe Artificial Intelligence workloads and considerations — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: An app using Azure AI Vision to describe scenes, read text, and identify objects aloud for blind users — Option B is correct because Microsoft's Seeing AI app leverages Azure AI Vision (specifically the Computer Vision API) to perform real-time image recognition for accessibility. It describes scenes, reads text via optical character recognition (OCR), and identifies objects aloud, enabling blind or low-vision users to understand their surroundings through audio feedback.
What should I do if I get this AI-900 question wrong?
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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Last reviewed: Jun 11, 2026
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