Question 1mediummultiple choice
Full question →mediummultiple choiceObjective-mapped
A large company deploys an AI system to screen job applications and recommend candidates for interviews. After six months, an audit reveals that the system recommends candidates from certain ethnic groups at a much lower rate than others, even when those candidates have similar qualifications. Which Microsoft responsible AI principle is most directly violated?
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
Distractor review
Inclusiveness
Inclusiveness is about ensuring AI systems are designed for and accessible to all people, including those with disabilities. While related, the specific issue here is unequal treatment based on ethnicity, which is a fairness concern.
B
Best answer
Fairness
Fairness requires that AI systems do not discriminate against individuals or groups. The system's biased recommendations based on ethnicity directly violate this principle.
C
Distractor review
Reliability and safety
Reliability and safety focus on whether the AI system functions correctly and without causing harm. The bias is not about correctness in a technical sense but about ethical discrimination.
D
Distractor review
Privacy and security
Privacy and security involve protecting personal data and ensuring the system is not vulnerable to attacks. The issue here is discrimination, not data protection.
Common exam trap
Common exam trap: answer the scenario, not the keyword
Many certification questions include familiar terms but test a specific constraint. Read the exact wording before choosing an answer that is generally true but wrong for this case.
Technical deep dive
How to think about this question
This question should be treated as a scenario, not a definition check. Identify the problem, the constraint and the best action. Then compare each option against those facts.
KKey Concepts to Remember
- Read the scenario before looking for a memorised answer.
- Find the constraint that changes the correct option.
- Eliminate answers that are true in general but not in this case.
- Use explanations to understand the rule behind the answer.
TExam Day Tips
- Underline the problem statement mentally.
- Watch for words such as best, first, most likely and least administrative effort.
- Review why wrong options are wrong, not only why the correct option is correct.
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?
Read the scenario before looking for a memorised answer.
What is the correct answer to this question?
The correct answer is: Fairness — The fairness principle in responsible AI requires that AI systems treat all people fairly and avoid reinforcing existing biases. The system is creating an unfair disadvantage based on ethnicity, which is a direct violation of fairness. Inclusiveness is related but broader, focusing on designing for all people. Reliability and safety concern the system's correctness and robustness. Privacy and security deal with data protection.
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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