Question 1easymultiple choice
Full question →easymultiple choiceObjective-mapped
A bank is developing an AI system to automatically approve or reject small business loan applications. The bank wants to ensure that the system does not unfairly discriminate against applicants based on their age, gender, or ethnicity. Which Microsoft responsible AI principle should most directly guide the design and evaluation of this system?
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
Best answer
Fairness
Fairness ensures the AI system does not discriminate based on demographic characteristics, which is the core concern in loan approval scenarios.
B
Distractor review
Reliability and safety
Reliability and safety focus on the system functioning correctly and consistently, not on avoiding discrimination.
C
Distractor review
Privacy and security
Privacy and security protect user data from unauthorized access or misuse, but do not directly address fairness in decisions.
D
Distractor review
Inclusiveness
Inclusiveness aims to design AI that is accessible and beneficial to everyone, including marginalized groups, but the primary guardrail against discriminatory outcomes is Fairness.
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: Fairness — The Fairness principle requires that AI systems treat all people fairly and avoid creating or reinforcing discriminatory outcomes. This is directly applicable to a loan approval system that must not disadvantage certain demographic groups. Reliability and safety (B) is about ensuring the system operates reliably and handles errors safely. Privacy and security (C) focuses on protecting personal data. Inclusiveness (D) is about designing systems that empower and engage everyone, including people with disabilities. While all principles are important, Fairness is the most directly relevant to preventing discrimination based on sensitive attributes.
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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