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A social media company uses an AI system to automatically filter hate speech. After deployment, they discover the system flags posts from a specific ethnic group at a much higher rate than posts from other groups, even when the content is similar. Which Microsoft responsible AI principle is most directly relevant?

Question 1easymultiple choice
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A social media company uses an AI system to automatically filter hate speech. After deployment, they discover the system flags posts from a specific ethnic group at a much higher rate than posts from other groups, even when the content is similar. Which Microsoft responsible AI principle is most directly relevant?

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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

Reliability and safety

Reliability and safety focus on the system working correctly and without harm, but the issue here is unequal treatment across groups, not general safety.

B

Best answer

Fairness

Fairness ensures AI systems do not discriminate based on attributes like ethnicity. The observed disparity is a fairness concern.

C

Distractor review

Privacy and security

Privacy and security relate to data protection and access, not to biased outcomes.

D

Distractor review

Inclusiveness

Inclusiveness aims to empower everyone, but fairness directly addresses the bias and unequal treatment.

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.

AI-900 fundamentals practice questions

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AI-900 scenario practice questions

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AI-900 troubleshooting practice questions

Practise AI-900 questions linked to AI-900 troubleshooting.

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

A developer is using Azure OpenAI Service to generate product descriptions from technical specifications. The generated descriptions sometimes include plausible-sounding but incorrect details (hallucinations). The developer wants to ensure the model's responses are strictly based on the provided product data and does not add any external or invented information. Which approach should the developer use?

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: Fairness — The Fairness principle requires that AI systems treat all people and groups equitably, avoiding biases that lead to discrimination. The disparate flagging rates indicate a potential bias, making fairness the most relevant 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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