A hospital uses an AI system to prioritize emergency room patients based on severity. The system was trained on historical data that may contain biases against certain demographic groups. The hospital wants to ensure the system does not disproportionately disadvantage any group. According to Microsoft's responsible AI principles, which practice should the hospital implement during the design phase?
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.
Distractor review
Remove all demographic features from the training data to achieve fairness through unawareness
Removing demographic features often fails to eliminate bias because proxy features can still encode the same disparities. Fairness requires more proactive analysis.
Best answer
Conduct an impact assessment and involve diverse stakeholders during design
Correct. Engaging diverse perspectives and performing an impact assessment helps identify potential biases early and align the system with the fairness principle.
Distractor review
Use a complex, uninterpretable model to avoid scrutiny of predictions
Lack of interpretability makes it harder to detect bias and violates the transparency and accountability principles.
Distractor review
Deploy the system and rely on post-deployment monitoring to catch unfair outcomes
While monitoring is important, it is not a substitute for proactive fairness measures during design. Prevention is more effective than detection after harm occurs.
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 2
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Question 3
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Question 4
A developer is using Azure OpenAI with GPT-4 to build a chatbot that answers legal questions based on a company's internal policy documents. The developer wants the model's responses to be maximally deterministic and factual, avoiding any creative or speculative language. Which parameter should the developer set to the lowest possible value in the API call?
Question 5
A developer is using Azure OpenAI to generate creative product descriptions. The outputs are often repetitive and lack variety. The developer wants to increase the diversity of the generated text while still keeping it coherent. Which parameter should the developer increase?
Question 6
A developer is using Azure OpenAI Service to generate product descriptions. They want the output to be highly focused and deterministic, with less randomness. Which parameter should they decrease?
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: Conduct an impact assessment and involve diverse stakeholders during design — Microsoft's fairness principle requires proactive measures to identify and mitigate bias. An impact assessment involving diverse stakeholders helps uncover potential harms and ensures the system is designed equitably. Other options are insufficient or counterproductive.
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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