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AI-900 Practice Question: Describe Artificial Intelligence workloads and considerations

What is 'image recognition for accessibility' and how does Microsoft's Seeing AI app use it?

⚠ Common exam trap

A common mix-up: 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.

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

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.

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 development features let data scientists and business users create machine-learning models through visual interfaces, without writing custom code. These tools reduce the programming barrier to building AI, but they are not assistive devices for end users. Seeing AI is not a development environment; it is a deployed Azure AI Vision solution that uses prebuilt APIs to recognize objects and read text for persons with visual impairment.

  • An app using Azure AI Vision to describe scenes, read text, and identify objects aloud for blind users

    Why this is correct

    Seeing AI is an iOS/Android app that uses Azure AI Vision’s Computer Vision and Read OCR APIs to audibly describe scenes, recognize people and objects, and read printed or handwritten text. The camera feed is analyzed in near real time, and results are converted to speech, giving blind users situational awareness. This turns cloud-based computer vision into a daily assistive aid directly tailored to visual impairment.

  • Accessibility compliance checking software that validates AI applications meet WCAG standards

    Why it's wrong here

    WCAG compliance validation tools are automated programs that inspect websites and applications against Web Content Accessibility Guidelines, checking contrast, semantics, and keyboard navigation. They do not perform real-time visual understanding or generate audio descriptions of the physical world. Seeing AI instead uses Azure AI Vision APIs to convert camera input into spoken information, making it an assistive application rather than a compliance auditor.

  • Screen reader software that makes Azure portal accessible to keyboard-only users

    Why it's wrong here

    Screen readers are system-level tools built into operating systems or browsers that read aloud UI elements so keyboard-only users can navigate applications. Making the Azure portal keyboard-accessible depends on platform accessibility standards and HTML semantics, not on computer vision. Seeing AI, by contrast, is a standalone mobile app that processes real-world images through Azure AI Vision and says what it sees, functioning as an accessibility aid for blind users, not a portal navigation tool.

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Written by Johnson Ajibi, MSc IT Security

Senior Network & Security Engineer · founder of Courseiva

This AI-900 practice question is part of Courseiva's free Microsoft certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the AI-900 exam.