Courseiva
← AI-900
Full test
easymultiple choiceObjective-mapped

A hospital uses an AI system to prioritize patient appointments based on urgency. The system is trained on historical data. The team wants to ensure that the system does not discriminate against patients based on age or disability. Which Microsoft responsible AI principle should most directly guide the design of this system?

Question 1easymultiple choice
Full question →

A hospital uses an AI system to prioritize patient appointments based on urgency. The system is trained on historical data. The team wants to ensure that the system does not discriminate against patients based on age or disability. Which Microsoft responsible AI principle should most directly guide the design of this system?

Full question →

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 avoid bias and ensure fair treatment for all groups, including age and disability.

B

Distractor review

Privacy and security

Privacy and security focuses on protecting personal data, not on preventing discrimination in decision-making.

C

Distractor review

Reliability and safety

Reliability and safety concern how well the system performs and avoids harm, but not specifically the fairness of its decisions.

D

Distractor review

Transparency

Transparency is about making AI systems understandable and explainable, but the primary concern here is preventing discrimination.

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

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

AI-900 scenario practice questions

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

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.

Question 1

A developer wants to build a virtual assistant that can understand user intents such as 'Book a flight' or 'Check weather' and extract relevant entities like destination and date. The developer has a small set of labeled example utterances. Which Azure AI Language feature should the developer use?

Question 2

A developer is building a customer support chatbot using Azure OpenAI. The chatbot should never reveal its system instructions or internal configuration. The developer wants to add a rule at the beginning of the conversation to prevent prompt injection attacks. Which technique should they use?

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: Inclusiveness — The Inclusiveness principle requires that AI systems empower everyone and avoid unfair discrimination. In this scenario, ensuring that the appointment prioritization system does not discriminate based on age or disability is a core aspect of inclusiveness. Privacy and security focuses on data protection, transparency on explainability, and reliability and safety on performance under various conditions.

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.

Discussion

Loading comments…

Sign in to join the discussion.