Question 1easymultiple choice
Full question →easymultiple choiceObjective-mapped
A company is developing an AI system to recommend movies to users. The team wants to ensure that the recommendations do not discriminate based on gender or ethnicity. Which Microsoft responsible AI principle is most directly related to this goal?
Answer choices
Why each option matters
Good practice is not just finding the correct option. The wrong answers often show the exact trap the exam wants you to fall into.
A
Distractor review
B) Inclusiveness
Inclusiveness is about designing AI that benefits everyone, but it does not specifically focus on eliminating discrimination in outcomes.
B
Best answer
A) Fairness
Correct. Fairness is the principle that directly addresses the requirement to avoid discrimination based on protected attributes like gender or ethnicity.
C
Distractor review
C) Reliability and Safety
Reliability and Safety ensure that AI systems operate dependably and safely, which is less about avoiding discrimination and more about consistent and safe operation.
D
Distractor review
D) Transparency
Transparency relates to understanding and communicating how decisions are made, but it does not directly address the bias or discrimination aspect.
Common exam trap
Common exam trap: NAT rules depend on direction and matching traffic
NAT is not only about the public address. The inside/outside interface roles and the ACL or rule that matches traffic are just as important.
Technical deep dive
How to think about this question
NAT questions usually test address translation, overload/PAT behaviour, static mappings and whether the right traffic is being translated. Read the interface direction and address terms carefully.
KKey Concepts to Remember
- Static NAT maps one inside address to one outside address.
- PAT allows many inside hosts to share one public address using ports.
- Inside local and inside global describe the private and translated addresses.
- NAT ACLs identify traffic for translation, not always security filtering.
TExam Day Tips
- Identify inside and outside interfaces first.
- Check whether the scenario needs static NAT, dynamic NAT or PAT.
- Do not confuse NAT matching ACLs with normal packet-filtering intent.
Related practice questions
Related AI-900 practice-question pages
Use these pages to review the topic behind this question. This is how one missed question becomes focused revision.
More questions from this exam
Keep practising from the same exam bank, or move into a focused topic page if this question exposed a weak area.
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FAQ
Questions learners often ask
What does this AI-900 question test?
Static NAT maps one inside address to one outside address.
What is the correct answer to this question?
The correct answer is: A) Fairness — The responsible AI principle of Fairness ensures that AI systems treat all people fairly and avoid biases that could lead to discrimination. Inclusiveness focuses on empowering everyone, but fairness specifically targets discrimination. Reliability & Safety ensures systems perform reliably, and Transparency ensures users understand how decisions are made. For this scenario of avoiding discrimination, Fairness is the most relevant principle.
What should I do if I get this AI-900 question wrong?
Then try more questions from the same exam bank and focus on understanding why the wrong options are tempting.
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