Question 1mediummultiple choice
Full question →mediummultiple choiceObjective-mapped
A financial institution uses an AI model to approve loan applications. A customer is denied a loan and requests an explanation for the decision. The development team cannot explain how the model reached its conclusion because the model is a deep neural network with complex layers. Which Microsoft responsible AI principle is being violated in this scenario?
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
Accountability
Accountability requires that people can understand and explain AI decisions. The team cannot explain the decision, violating this principle.
B
Distractor review
Fairness
Fairness is about ensuring AI treat all groups equally; the denial may be discriminatory, but the main problem is the inability to explain the decision.
C
Distractor review
Reliability and Safety
Reliability and Safety focus on the system performing correctly without harm; the denial may be incorrect, but the immediate issue is lack of explanation.
D
Distractor review
Privacy and Security
Privacy and Security involve protecting personal data; the scenario does not mention a data breach or 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: Accountability — The scenario highlights a lack of transparency in how the AI system makes decisions. The Microsoft responsible AI principle of Accountability emphasizes that organizations should be able to explain how AI systems work and who is responsible for their outcomes. By not being able to provide an explanation, the institution is failing its accountability. Other principles include Fairness (treating all groups equitably), Reliability & Safety (performing as intended), and Privacy & Security (protecting data). In this case, the core issue is the inability to account for the decision, not a fairness or data breach issue.
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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