Question 1mediummultiple choice
Full question →mediummultiple choiceObjective-mapped
A company builds an AI system to filter job applications and rank candidates. The system is trained on historical hiring data. To reduce potential bias, the company removes protected attributes such as gender and ethnicity from the training data. However, after deployment, the system still shows a statistically significant bias against female candidates. Which Microsoft responsible AI principle most directly requires the company to investigate and address this remaining bias, even when protected attributes are removed?
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 requires AI systems to treat all groups equitably and address any sources of bias, including proxy variables that correlate with protected attributes.
B
Distractor review
Inclusiveness
Inclusiveness is about designing systems that are accessible and usable by people of all abilities, not specifically about addressing bias in hiring.
C
Distractor review
Reliability and safety
Reliability and safety focus on ensuring the system works correctly and does not cause harm; it does not directly address bias or fairness.
D
Distractor review
Transparency
Transparency involves making the system's behavior understandable to users, but it does not specifically require addressing biased outcomes.
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 discrimination based on sensitive characteristics. Removing protected attributes is not always sufficient because other features (proxies) can still lead to biased outcomes. The company must use techniques like bias detection and mitigation to ensure fairness. Inclusiveness focuses on empowering everyone, reliability and safety on system performance, and transparency on understanding how decisions are made.
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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