A retail company deploys an AI system that analyzes customer purchase history to personalize product recommendations. Without informing customers, the system also uses their names, addresses, and phone numbers to create detailed profiles. A customer advocacy group raises concerns about this practice. 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.
Distractor review
Fairness
Fairness focuses on ensuring AI systems do not discriminate against groups. While collecting personal data could lead to unfairness, the core violation here is the lack of consent and privacy.
Distractor review
Reliability and safety
Reliability and safety relate to the system functioning correctly and safely under all conditions. Personal data usage without consent is primarily a privacy issue, not a reliability concern.
Best answer
Privacy and security
This principle requires that individuals have control over their personal data and that data is collected and used with consent. Using customer names, addresses, and phone numbers without informing them violates this principle.
Distractor review
Transparency
Transparency is about making AI systems understandable and explainable. While being open about data usage is part of transparency, the primary violation is the lack of permission, which is a privacy issue.
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.
Question 1
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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?
Read the scenario before looking for a memorised answer.
What is the correct answer to this question?
The correct answer is: Privacy and security — The responsible AI principle of privacy and security requires that data collected for AI systems be handled in a way that respects individuals' privacy rights and follows data protection laws. Using personal data without consent for a purpose not disclosed to customers violates this principle. Fairness concerns bias, reliability concerns safety, and transparency concerns explainability.
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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