Question 1easymultiple choice
Full question →easymultiple choiceObjective-mapped
A healthcare organization is developing an AI system to recommend treatment plans for patients based on their medical history. According to Microsoft's responsible AI principles, which principle is most directly concerned with ensuring that the system protects patients' health data from unauthorized access or misuse?
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
Privacy and security
This principle requires AI systems to respect privacy, store data securely, and protect it from unauthorized access or misuse, which aligns directly with protecting patient data.
B
Distractor review
Transparency
Transparency focuses on making AI systems understandable and providing clear information about their capabilities and limitations, not on data protection.
C
Distractor review
Fairness
Fairness is about ensuring AI systems do not discriminate against groups or individuals; it does not directly address data security or privacy.
D
Distractor review
Reliability and safety
Reliability and safety ensure that AI systems operate consistently and safely, but they do not specifically cover the protection of data from unauthorized access.
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: Privacy and security — The privacy and security principle of responsible AI emphasizes that AI systems should be built with strong safeguards to protect personal and sensitive data. For healthcare applications, patient data is highly confidential, and this principle directly addresses the need for security measures to prevent breaches or unauthorized use. Transparency is about explainability, not data protection. Fairness is about avoiding bias, and reliability is about consistent performance. Therefore, privacy and security is the correct answer.
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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