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Microsoft AI-900 Exam Questions
Microsoft Azure AI Fundamentals (Page 3 )

Updated On: 21-Feb-2026
Page 3 of 62
PDF with 303 Questions

You are designing an AI system that empowers everyone, including people who have hearing, visual, and other impairments.

This is an example of which Microsoft guiding principle for responsible AI?

  1. fairness
  2. inclusiveness
  3. reliability and safety
  4. accountability

Answer(s): B

Explanation:

Inclusiveness: At Microsoft, we firmly believe everyone should benefit from intelligent technology, meaning it must incorporate and address a broad range of human needs and experiences. For the 1 billion people with disabilities around the world, AI technologies can be a game-changer.


Reference:

https://docs.microsoft.com/en-us/learn/modules/responsible-ai-principles/4-guiding-principles



You are building an AI system.

Which task should you include to help the service meet the Microsoft transparency principle for responsible AI?

  1. Ensure that all visuals have an associated text that can be read by a screen reader.
  2. Enable autoscaling to ensure that a service scales based on demand.
  3. Provide documentation to help developers debug code.
  4. Ensure that a training dataset is representative of the population.

Answer(s): C


Reference:

https://docs.microsoft.com/en-us/learn/modules/responsible-ai-principles/4-guiding-principles



DRAG DROP (Drag and Drop is not supported)

Match the types of AI workloads to the appropriate scenarios.

To answer, drag the appropriate workload type from the column on the left to its scenario on the right. Each workload type may be used once, more than once, or not at all.

Note: Each correct selection is worth one point.

Select and Place:

  1. See Explanation section for answer.

Answer(s): A

Explanation:


Reference:

https://docs.microsoft.com/en-us/learn/paths/get-started-with-artificial-intelligence-on-azure/



What are three Microsoft guiding principles for responsible AI? Each correct answer presents a complete solution.

Note: Each correct selection is worth one point.

  1. knowledgeability
  2. decisiveness
  3. inclusiveness
  4. fairness
  5. opinionatedness
  6. reliability and safety

Answer(s): C,D,F


Reference:

https://docs.microsoft.com/en-us/learn/modules/responsible-ai-principles/4-guiding-principles



When you design an AI system to assess whether loans should be approved, the factors used to make the decision should be explainable.

This is an example of which Microsoft guiding principle for responsible AI?

  1. transparency
  2. inclusiveness
  3. fairness
  4. privacy and security

Answer(s): A

Explanation:

Achieving transparency helps the team to understand the data and algorithms used to train the model, what transformation logic was applied to the data, the final model generated, and its associated assets. This information offers insights about how the model was created, which allows it to be reproduced in a transparent way.
Incorrect Answers:
B: Inclusiveness mandates that AI should consider all human races and experiences, and inclusive design practices can help developers to understand and address potential barriers that could unintentionally exclude people.
Where possible, speech-to-text, text-to-speech, and visual recognition technology should be used to empower people with hearing, visual, and other impairments.
C: Fairness is a core ethical principle that all humans aim to understand and apply. This principle is even more important when AI systems are being developed. Key checks and balances need to make sure that the system's decisions don't discriminate or run a gender, race, sexual orientation, or religion bias toward a group or individual.
D: A data holder is obligated to protect the data in an AI system, and privacy and security are an integral part of this system. Personal needs to be secured, and it should be accessed in a way that doesn't compromise an individual's privacy.


Reference:

https://docs.microsoft.com/en-us/azure/cloud-adoption-framework/innovate/best-practices/trusted-ai https://docs.microsoft.com/en-us/azure/cloud-adoption-framework/strategy/responsible-ai






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