Question 1mediummultiple choice
Full question →mediummultiple choiceObjective-mapped
A multinational corporation deploys an AI-powered language translation system that performs well for English, Spanish, and French, but has significantly lower accuracy for Swahili and Navajo. The company wants to ensure the system serves all users equitably. Which Microsoft responsible AI principle is most directly relevant to 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
Inclusiveness
Inclusiveness requires AI systems to be designed to empower everyone, including speakers of less common languages, by ensuring fair performance across diverse groups.
B
Distractor review
Fairness
Fairness is concerned with avoiding bias that leads to unjust outcomes, but this scenario is specifically about including underrepresented languages, which falls under inclusiveness.
C
Distractor review
Reliability and safety
Reliability and safety ensure the system operates correctly and safely, but do not directly address performance differences across languages.
D
Distractor review
Transparency
Transparency involves disclosing limitations, but the scenario focuses on the proactive goal of serving all users equitably, which is inclusiveness.
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: Inclusiveness — The Inclusiveness principle requires that AI systems empower everyone and engage diverse perspectives. It mandates that systems perform well across a wide range of user groups and languages, avoiding exclusion. Fairness (Option B) focuses on treating similar groups equitably, but here the issue is about including underrepresented languages. Reliability and safety (Option C) ensures the system works correctly under expected conditions, but does not directly address performance disparities across languages. Transparency (Option D) is about communicating limitations, but the primary principle for proactive inclusion is Inclusiveness.
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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