Describe Artificial Intelligence workloads and considerations →mediumMultiple ChoiceObjective-mapped
AI-900 Practice Question: Describe Artificial Intelligence workloads and considerations
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?
⚠ Common exam trap
Test-takers frequently 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.
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.
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 focuses on ensuring model predictions and decisions do not introduce or perpetuate bias against protected groups such as racial, ethnic, or gender groups. While privacy violations can disproportionately affect some groups, the principle itself does not govern how patient data is stored or transmitted. The threat of PII exposure is a data-governance issue, not a bias or discrimination issue, making Fairness inapplicable here.
When this WOULD be correct
Fairness would be correct if the question described an AI system that must avoid bias against certain patient groups, such as ensuring equal treatment recommendations across demographics.
- ✗
Inclusiveness
Why it's wrong here
Although Inclusiveness is a core responsible AI principle, it concerns designing systems that are accessible and useful to people of all abilities and backgrounds, including accommodations for disabilities. It does not address confidentiality, data minimization, or access control over patient records. A system can be fully inclusive yet still leak PII, so it fails to match the requirement.
When this WOULD be correct
A question asks: 'An AI system for healthcare must provide equal quality of service across different demographic groups. Which principle is most directly addressed?' In that scenario, inclusiveness would be correct.
- ✓
Privacy and Security
Why this is correct
Privacy and Security is the correct principle because this AI system handles patient records that contain protected health information (PHI/PII). To meet this principle, the solution must enforce encryption at rest and in transit, strict role-based access controls, and audit logging to prevent unauthorized disclosure. It also entails resilience against attacks that could expose patient data, which is exactly the stated requirement.
- ✗
Reliability and Safety
Why it's wrong here
Reliability and Safety requires AI systems to perform consistently, fail gracefully, and avoid causing physical or financial harm through incorrect outputs. A reliable system could still transmit patient records insecurely because reliability does not impose confidentiality or encryption requirements. The scenario's concern is unauthorized data exposure, not system accuracy or safe operation, so this principle is not the right answer.
When this WOULD be correct
A question asking which principle ensures an AI system for medical diagnosis consistently produces accurate results and avoids causing patient harm due to errors or failures.
Option-by-option analysis
Why each answer is right or wrong
Understanding why wrong answers are wrong — and when they would be correct — is what separates a 750 score from a 900. The AI-900 exam frequently reuses these exact scenarios with slightly different constraints.
✓Privacy and SecurityCorrect answer▾
Why this is correct
Privacy and Security is the correct principle because this AI system handles patient records that contain protected health information (PHI/PII). To meet this principle, the solution must enforce encryption at rest and in transit, strict role-based access controls, and audit logging to prevent unauthorized disclosure. It also entails resilience against attacks that could expose patient data, which is exactly the stated requirement.
✗FairnessWrong answer — click to see why▾
Why this is wrong here
The requirement focuses on protecting patient identities by not storing or transmitting PII, which directly addresses privacy and security, not fairness.
★ When this WOULD be the correct answer
Fairness would be correct if the question described an AI system that must avoid bias against certain patient groups, such as ensuring equal treatment recommendations across demographics.
Why candidates choose this
Candidates may confuse privacy with fairness because both involve ethical handling of data, but fairness is about equitable outcomes, not data protection.
✗InclusivenessWrong answer — click to see why▾
Why this is wrong here
The requirement focuses on protecting patient identities by not storing or transmitting PII, which directly relates to privacy and security, not inclusiveness. Inclusiveness is about ensuring the system works for all user groups, not about data protection.
★ When this WOULD be the correct answer
A question asks: 'An AI system for healthcare must provide equal quality of service across different demographic groups. Which principle is most directly addressed?' In that scenario, inclusiveness would be correct.
Why candidates choose this
Candidates may confuse inclusiveness with privacy because both involve ethical considerations in AI, but inclusiveness is about fairness across groups, not data protection.
✗Reliability and SafetyWrong answer — click to see why▾
Why this is wrong here
The requirement focuses on protecting patient identities by not storing or transmitting PII, which directly relates to privacy and security, not reliability and safety. Reliability and safety concern system accuracy and harm prevention, not data protection.
★ When this WOULD be the correct answer
A question asking which principle ensures an AI system for medical diagnosis consistently produces accurate results and avoids causing patient harm due to errors or failures.
Why candidates choose this
Candidates may confuse 'safety' with data security, or think that protecting patient data is part of ensuring system safety, but safety here refers to operational reliability, not data confidentiality.
Analysis generated from the official AI-900blueprint and verified against question context. The “when correct” sections are what AI assistants cite when candidates ask “what’s the difference between these options?”
Go deeper
Related to this question
Learn chapter
Responsible AI Principles
Key term
Responsible AI
A framework of ethical principles and practices that ensure artificial intelligence systems are developed and deployed in a transparent, fair, accountable, and safe manner.
Key term
Privacy and security
Privacy and security refer to the practices and technologies used to protect sensitive data from unauthorized access while ensuring individuals' rights over their personal information are respected.
About these practice questions
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JA
Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
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.