Practice Questions

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Question 1

What is the primary goal of inclusiveness in an AI solution?

Answer: To ensure AI systems are usable and beneficial for people with diverse abilities, backgrounds, and needs.

Explanation: Inclusiveness focuses on empowering all users and avoiding designs that unintentionally exclude certain groups.

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Question 2

Which scenario best represents an inclusiveness concern?

Answer: A speech recognition system that performs poorly for users with strong accents.

Explanation: Failing to support diverse accents and speech patterns limits accessibility and inclusiveness.

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Question 3

An AI application does not support screen readers or accessibility tools. Which Responsible AI principle is most impacted?

Answer: Inclusiveness

Explanation: Lack of accessibility features can exclude users with disabilities, which is a core inclusiveness issue.

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Question 4

Which AI workload is most likely to require inclusiveness considerations?

Answer: All AI workloads intended for use by people

Explanation: Inclusiveness applies to any AI system that interacts with or affects users, regardless of workload type.

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Question 5

Why is it important to test AI systems with diverse user groups?

Answer: To identify usability issues that may affect different abilities, languages, or contexts.

Explanation: Testing with diverse users helps ensure the AI solution works well for a broader population.

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Question 6

A computer vision system fails to recognize assistive devices such as wheelchairs. What is the main concern?

Answer: The system is not inclusive of users with disabilities.

Explanation: Inclusive AI should consider assistive technologies and diverse physical environments.

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Question 7

Which practice best supports inclusiveness in AI solutions?

Answer: Designing AI systems that support accessibility standards and tools.

Explanation: Accessibility support helps ensure AI systems can be used by people with varying abilities.

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Question 8

Why is inclusiveness important for AI systems used by a global audience?

Answer: Because users may have different languages, cultures, abilities, and access needs.

Explanation: Inclusive design helps ensure AI solutions are usable and relevant across diverse populations.

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Question 9

Which Microsoft framework includes inclusiveness as a core principle?

Answer: Responsible AI

Explanation: Inclusiveness is one of Microsoft’s six Responsible AI principles.

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Question 10

An organization wants its AI system to avoid assumptions about users’ abilities or environments. Which principle should guide this effort?

Answer: Inclusiveness

Explanation: Inclusiveness encourages designing AI systems that adapt to diverse user needs rather than assuming a single type of user.

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Exam tip

For AI-900 questions, inclusiveness is usually indicated by scenarios involving accessibility, disabilities, language support, accents, or diverse user needs. When the question is about who can or cannot use the AI system, inclusiveness is often the correct principle.

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