Question 1easymultiple choice
Full question →easymultiple choiceObjective-mapped
A company uses an AI system to automatically generate personalized email subject lines for marketing campaigns. The system has been trained on historical data that includes biased language patterns. The company wants to ensure the generated subject lines do not reinforce stereotypes based on gender, age, or ethnicity. Which Microsoft responsible AI principle should guide the selection and filtering of training data?
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
Correct. Inclusiveness focuses on designing AI systems that are fair and avoid bias against groups, which directly applies to removing stereotypes from training data.
B
Distractor review
Reliability and safety
Incorrect. This principle ensures AI systems perform reliably and safely, but it does not specifically address bias in training data.
C
Distractor review
Privacy and security
Incorrect. This principle involves protecting data from unauthorized access and ensuring user privacy, not directly related to bias in generated content.
D
Distractor review
Transparency
Incorrect. Transparency means AI systems should be understandable and explainable, but it does not directly guide the selection of training data to avoid bias.
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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Question 6
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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 Microsoft responsible AI principle of Inclusiveness requires that AI systems are designed for all people and do not unfairly exclude or disadvantage groups. By carefully selecting and filtering training data to remove biased patterns, the company helps ensure the generated subject lines do not perpetuate stereotypes, aligning with the Inclusiveness principle.
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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