Free Microsoft AI-900 Azure AI Fundamentals Actual Exam Questions - Question 7 Discussion

Question No. 7Drag & Drop

DRAG DROP Match the Microsoft guiding principles for responsible AI to the appropriate descriptions. To answer, drag the appropriate principle from the column on the left to its description on the right. Each principle may be used once, more than once, or not at all. NOTE: Each correct selection is worth one point. AI-900 practice exam questions

Options
AAccountability
BFairness
CInclusiveness
DPrivacy and security
EReliability and safety
Drag an item to a target. Click × to remove.
Answer Area
Ensure that Al systems operate as they were originally designed, respond to unanticipated conditions, and resist harmful manipulation.
Drop item here
Implementing processes to ensure that decisions made by Al systems can be overridden by humans.
Drop item here
Provide consumers with information and controls over the collection, use, and storage of their data.
Drop item here
US
SO
Sam O.
2026-02-20

I’d match fairness with promoting equality, since it’s about bias and inclusion.

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SO
Sam O.
2026-02-09

I’d pair privacy with protecting user data since it’s all about confidentiality. Then, reliability and safety seem to go together with making sure the AI system works consistently and avoids harm. For accountability, I agree it’s about audit trails and fixing problems. Transparency should be about explaining how decisions are made clearly. Fairness fits naturally with avoiding any kind of bias or discrimination. Just matching the principle’s main focus helps eliminate confusion quickly.

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SO
Sam O.
2026-01-30

Another way to look at it is that privacy should link directly to protecting user data and ensuring confidentiality. Reliability and safety seem like they’d pair with making sure AI systems work as expected without causing harm. Inclusiveness would then focus on designing AI that’s accessible and usable for everyone, which matches with broad usability descriptions. This method of elimination helps confirm the matches without mixing similar concepts.

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MM
Michael M.
2026-01-24

Accountability matches ensuring AI systems can be audited and fixed.

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SQ
Sarah Q.
2026-01-19

Transparency fits best with clear explanations of AI decisions.

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Sarah Q.
2026-01-19

Picked fairness first since it’s about avoiding bias in decisions.

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