Question 1hardmultiple choice
Full question →hardmultiple choiceObjective-mapped
A healthcare start-up proposes a fully automated AI system to diagnose patients from medical scans without any human doctor review. They claim the system is 99% accurate. According to Microsoft's responsible AI principles, which principle is most directly violated by removing human oversight from this critical decision-making process?
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
Fairness
Fairness is about ensuring the system doesn't discriminate; while important, the core issue here is lack of human oversight.
B
Distractor review
Reliability and safety
Reliability is about performing correctly; the system may still be reliable, but the principle of accountability emphasizes human oversight for high-stakes decisions.
C
Distractor review
Transparency
Transparency requires explainability, but the primary concern is the absence of humans in the loop.
D
Best answer
Accountability
Accountability demands that AI systems are designed with appropriate human oversight to ensure responsible use and to handle edge cases. Fully automating diagnosis removes human accountability.
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: Accountability — Microsoft's responsible AI principle of Accountability stresses that humans should be responsible for AI systems and that human oversight is necessary, especially in high-risk domains like healthcare. Removing doctors from the loop violates this principle. Fairness, reliability, and transparency are also important but not as directly impacted as accountability in this scenario.
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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