- A
Fairness
Why wrong: Fairness is about ensuring AI systems do not discriminate against groups based on attributes like race or gender, which is not the primary concern here.
- B
Inclusiveness
Why wrong: Inclusiveness focuses on designing AI systems that benefit all users, including those with disabilities, not specifically on data privacy.
- C
Privacy and Security
Privacy and Security requires that AI systems protect personal data and be resilient against attacks, directly matching the requirement to prevent PII exposure.
- D
Reliability and Safety
Why wrong: Reliability and Safety ensures AI systems perform correctly and safely, which is important but not directly about preventing the storage/transmission of PII.
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 hospital uses an AI system to analyze patient records for research. To protect patient identities, the system should not store or transmit any personally identifiable information (PII) outside the secure network. Which responsible AI principle is most directly addressed by this requirement?
Answer choices
Why each option matters
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 requirement to not store or transmit PII outside the secure network directly addresses the Privacy and Security principle. This principle ensures that individuals' data is protected from unauthorized access or exposure, which is critical in healthcare AI systems handling sensitive patient records. By restricting PII to the secure network, the system upholds data confidentiality and compliance with regulations like HIPAA.
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 is about ensuring AI systems do not discriminate against groups based on attributes like race or gender, which is not the primary concern here.
- ✗
Inclusiveness
Why it's wrong here
Inclusiveness focuses on designing AI systems that benefit all users, including those with disabilities, not specifically on data privacy.
- ✓
Privacy and Security
Why this is correct
Privacy and Security requires that AI systems protect personal data and be resilient against attacks, directly matching the requirement to prevent PII exposure.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Reliability and Safety
Why it's wrong here
Reliability and Safety ensures AI systems perform correctly and safely, which is important but not directly about preventing the storage/transmission of PII.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates may confuse Privacy and Security with Reliability and Safety, thinking that preventing data leaks is about system stability rather than data protection, but the core focus is on safeguarding sensitive information from unauthorized access or disclosure.
Detailed technical explanation
How to think about this question
Under the hood, Privacy and Security in AI systems often involve techniques like data anonymization (e.g., k-anonymity, differential privacy) and encryption (e.g., AES-256 for data at rest, TLS 1.3 for data in transit). In a real-world healthcare scenario, an AI model might be trained on de-identified data where PII fields (e.g., name, SSN) are stripped or tokenized before leaving the secure network, ensuring that even if intercepted, the data cannot be linked back to an individual.
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 company's IT admin needs to give a contractor read-only access to production logs without sharing account credentials. Using role-based access control (RBAC) and temporary scoped permissions — not a permanent shared password — is the correct pattern. Questions like this test whether you can apply least-privilege access across cloud identity services.
What to study next
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FAQ
Questions learners often ask
What does this AI-900 question test?
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 requirement to not store or transmit PII outside the secure network directly addresses the Privacy and Security principle. This principle ensures that individuals' data is protected from unauthorized access or exposure, which is critical in healthcare AI systems handling sensitive patient records. By restricting PII to the secure network, the system upholds data confidentiality and compliance with regulations like HIPAA.
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.
About these practice questions
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Last reviewed: Jun 11, 2026
This AI-900 practice question is part of Courseiva's free Microsoft certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the AI-900 exam.
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