Question 1easymultiple choice
Full question →easymultiple choiceObjective-mapped
A hospital is deploying an AI system that recommends treatment plans based on patient data. The chief medical officer insists that doctors must be able to understand why the AI recommended a specific treatment. Which Microsoft responsible AI principle is most directly relevant to this requirement?
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
Reliability and safety
This principle ensures the AI system performs reliably, but it does not directly address the need to understand why a decision was made.
B
Distractor review
Fairness
Fairness is about avoiding bias and treating all groups equitably, not about explaining individual decisions.
C
Best answer
Transparency
Transparency requires that AI systems be explainable and that their workings be open to inspection, which directly aligns with the doctor's need to understand the recommendation.
D
Distractor review
Accountability
Accountability means that humans are responsible for AI outcomes, but it does not inherently require that the decision-making process be understandable.
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: Transparency — The transparency principle requires that AI systems be understandable and that their decision-making processes be open to scrutiny. In healthcare, it is critical for clinicians to understand the basis for AI recommendations to maintain trust and ensure patient safety. Reliability and safety focuses on consistent performance under expected conditions. Fairness addresses bias and discrimination. Accountability ensures that humans are ultimately responsible for AI outcomes. While all principles are important, transparency is the core principle that addresses explainability.
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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