Question 1hardmultiple choice
Full question →hardmultiple choiceObjective-mapped
A healthcare clinic uses an AI system to triage patients by urgency. The system consistently assigns lower priority to patients presenting with rare symptoms compared to those with common symptoms, even when the rare symptoms indicate a serious condition. The clinic wants to ensure the system treats all patients equitably. According to Microsoft's Responsible AI principles, which principle is most directly relevant to addressing this disparity?
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
Inclusiveness
Inclusiveness aims to empower everyone by building for diverse needs, but the scenario specifically highlights an unfair bias in decision-making, which Fairness addresses more directly.
B
Best answer
Fairness
Fairness is the principle that AI systems should treat all people fairly and avoid bias. The system's systematic disadvantage to patients with rare symptoms is a fairness issue.
C
Distractor review
Transparency
Transparency is about making the system's workings understandable, but it does not automatically correct the bias; it only helps reveal it.
D
Distractor review
Accountability
Accountability means the organization takes ownership of the system's outcomes, but the principle that directly addresses the biased treatment 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 is concerned with ensuring that AI systems do not discriminate against individuals or groups. In this case, the system is giving lower priority to patients with rare symptoms, which could be a form of bias. Inclusiveness focuses on designing systems for diverse user needs, but the core issue here is unfair treatment based on symptom frequency. Transparency involves explaining how the system works, but does not directly address the bias. Accountability means taking responsibility for the system's impact, but the immediate need is to correct the unfairness.
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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