The correct answer is privacy and security because the scenario describes a re-identification attack on aggregated statistics, where combining multiple published tables allows an attacker to infer individual patient identities. This directly violates the responsible AI principle that mandates protecting personal data from unauthorized disclosure, as the organization failed to apply techniques like differential privacy to prevent such linkage. On the Microsoft Azure AI Fundamentals AI-900 exam, this question tests your understanding of how privacy and security risks manifest in real-world AI systems, often appearing as a trap where learners mistakenly choose fairness or transparency instead. A common memory tip is to remember that aggregated statistics are not automatically anonymous—think “aggregation without protection is just a puzzle waiting to be solved.”
AI-900 Practice Question: Describe Artificial Intelligence workloads and considerations
This AI-900 practice question tests your understanding of describe artificial intelligence workloads and considerations. Read the scenario carefully and evaluate each option against the stated constraints before committing to an answer. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.
A medical research organization uses an AI system to analyze patient health records to identify patterns in disease progression. They publish a research paper that includes tables of aggregated statistics derived from the data. Later, a researcher discovers that by combining multiple statistics, it is possible to identify individual patients. Which Microsoft responsible AI principle has been most directly compromised?
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Privacy and security
The correct answer is B because the scenario describes a re-identification attack, where aggregated statistics (tables) can be combined to infer individual patient identities. This directly violates the privacy and security principle, which requires that AI systems protect personal data and prevent unauthorized identification. Microsoft's responsible AI principle of privacy and security emphasizes safeguarding data through techniques like differential privacy, which was not applied here.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
✗
Fairness
Why it's wrong here
Fairness relates to avoiding bias against groups, not preventing re-identification.
✓
Privacy and security
Why this is correct
This principle mandates protecting personal data and preventing unauthorized identification, which was compromised in this scenario.
Related concept
Read the scenario before looking for a memorised answer.
✗
Transparency
Why it's wrong here
Transparency focuses on explainability and openness about system capabilities, not directly on data re-identification.
✗
Accountability
Why it's wrong here
Accountability is about who is responsible for the system's outcomes, not the specific data protection issue described.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often confuse aggregated statistics with anonymized data, assuming that tables of averages or counts cannot reveal individuals, but re-identification attacks (e.g., via differencing or linking multiple tables) directly compromise privacy and security.
Detailed technical explanation
How to think about this question
This scenario illustrates a re-identification attack, which exploits the fact that even anonymized or aggregated data can be combined with auxiliary information to single out individuals. Under the hood, differential privacy adds calibrated noise to query results (e.g., Laplace mechanism) to prevent such inference, but the researchers published raw aggregated statistics without noise, enabling linkage attacks. In real-world deployments, this is why Microsoft Azure's Confidential Computing and data masking tools are used alongside differential privacy to enforce privacy and security at the data layer.
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.
TExam Day Tips
→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.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
How this comes up in practice
A cloud solutions architect for a retail company is evaluating services for a new workload. The correct answer here reflects best practice for the specific scenario described — not a general cloud recommendation. Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option. Cloud exam questions reward reading the constraint carefully: the same technology can be right or wrong depending on the use case.
Related glossary terms
Concepts from this question explained
These glossary pages explain the core terms tested in this AI-900 question in full detail.
Describe Artificial Intelligence workloads and considerations — This question tests Describe Artificial Intelligence workloads and considerations — 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 correct answer is B because the scenario describes a re-identification attack, where aggregated statistics (tables) can be combined to infer individual patient identities. This directly violates the privacy and security principle, which requires that AI systems protect personal data and prevent unauthorized identification. Microsoft's responsible AI principle of privacy and security emphasizes safeguarding data through techniques like differential privacy, which was not applied here.
What should I do if I get this AI-900 question wrong?
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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Question Discussion
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