Describe Artificial Intelligence workloads and considerations →mediumMultiple ChoiceObjective-mapped
AI-900 Practice Question: Describe Artificial Intelligence workloads and considerations
A hospital deploys an AI system to assist doctors in interpreting MRI scans. The system highlights the regions of interest and provides a numeric confidence score for its findings, along with a list of the image features that contributed to the diagnosis. Which responsible AI principle is being applied?
⚠ Common exam trap
Many exam-takers confuse Transparency with Accountability, thinking that providing a confidence score implies responsibility, but Transparency is specifically about making the model's reasoning visible and interpretable to users.
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
✓
Transparency
The system provides a numeric confidence score and a list of image features that contributed to the diagnosis, which directly supports the principle of Transparency. Transparency in responsible AI requires that AI systems are understandable and that their decisions can be explained to users, enabling clinicians to interpret and trust the output.
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 incorrect because it focuses on ensuring that an AI system does not exhibit bias or discriminate against individuals or groups based on protected attributes such as race, gender, or age. The scenario describes an AI system helping doctors by explaining its decisions, which is about interpretability, not about auditing for disparate impact or ensuring equitable treatment. While fairness is a vital responsible AI principle, the immediate behavior shown is the system making its reasoning visible, which is transparency. Thus fairness is not the principle demonstrated.
When this WOULD be correct
A hospital deploys an AI system to prioritize patients for organ transplants based on medical history and socioeconomic data. The system is found to allocate fewer organs to patients from certain racial backgrounds. Which principle is being violated?
- ✓
Transparency
Why this is correct
Transparency is the correct principle because it refers to the degree to which an AI system’s decision-making process can be understood by humans. In this clinical scenario, the AI system assists doctors by providing interpretable outputs—for example, highlighting which patient features like vital signs or lab results influenced a diagnosis. This aligns with Microsoft’s responsible AI principle of transparency, which enables clinicians to validate AI suggestions and build trust in the technology. Without such explanations, doctors could not meaningfully assess the reliability of the AI's recommendations.
- ✗
Privacy
Why it's wrong here
Privacy is incorrect because it pertains to the protection of personal or sensitive data, such as patient records, through measures like encryption, access control, and anonymization. The behavior described—showing which input features influenced an AI result—relates to explainability, not data protection. While a hospital must always safeguard patient privacy, the specific feature being demonstrated here is transparency, because the focus is on understanding the reasoning, not on securing data. Therefore, privacy does not match the scenario.
When this WOULD be correct
A hospital deploys an AI system that analyzes patient MRI scans and stores the images and diagnoses in a cloud database without anonymizing patient identifiers. Which responsible AI principle is being violated?
- ✗
Accountability
Why it's wrong here
Accountability is incorrect because it refers to identifying and establishing who is responsible for an AI system’s design, deployment, and outcomes, including mechanisms for human oversight and remediation. The scenario highlights that the AI system explains what features influenced its output, which is a hallmark of transparency. While transparency supports accountability by enabling responsible parties to audit decisions, the principle directly exercised in the scenario is the provision of clear explanations, not the assignment of responsibility. Therefore, accountability, while related, is not the immediate principle being demonstrated.
When this WOULD be correct
A healthcare AI system makes a diagnostic error, and the hospital needs to determine who is responsible—the developer, the hospital, or the clinician. The principle of accountability would be applied to ensure clear ownership and remediation processes.
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.
✓TransparencyCorrect answer▾
Why this is correct
Transparency is the correct principle because it refers to the degree to which an AI system’s decision-making process can be understood by humans. In this clinical scenario, the AI system assists doctors by providing interpretable outputs—for example, highlighting which patient features like vital signs or lab results influenced a diagnosis. This aligns with Microsoft’s responsible AI principle of transparency, which enables clinicians to validate AI suggestions and build trust in the technology. Without such explanations, doctors could not meaningfully assess the reliability of the AI's recommendations.
✗FairnessWrong answer — click to see why▾
Why this is wrong here
The system's focus on highlighting regions, providing confidence scores, and listing contributing features directly addresses transparency (explainability), not fairness. Fairness would involve ensuring the model performs equitably across demographic groups, which is not described.
★ When this WOULD be the correct answer
A hospital deploys an AI system to prioritize patients for organ transplants based on medical history and socioeconomic data. The system is found to allocate fewer organs to patients from certain racial backgrounds. Which principle is being violated?
Why candidates choose this
Candidates may confuse the general ethical importance of fairness with the specific scenario, or assume that any responsible AI principle must include fairness, overlooking that the question explicitly describes explainability features.
✗PrivacyWrong answer — click to see why▾
Why this is wrong here
The system highlights regions of interest, provides confidence scores, and explains image features, which directly addresses transparency (explainability), not privacy. Privacy concerns data protection and consent, which are not mentioned in the scenario.
★ When this WOULD be the correct answer
A hospital deploys an AI system that analyzes patient MRI scans and stores the images and diagnoses in a cloud database without anonymizing patient identifiers. Which responsible AI principle is being violated?
Why candidates choose this
Candidates may confuse the handling of sensitive medical data with the principle of privacy, assuming any AI system in healthcare must prioritize privacy, even when the scenario focuses on explainability.
✗AccountabilityWrong answer — click to see why▾
Why this is wrong here
Accountability refers to assigning responsibility for AI outcomes, but the question describes the system explaining its reasoning (features and confidence), which is about transparency, not accountability.
★ When this WOULD be the correct answer
A healthcare AI system makes a diagnostic error, and the hospital needs to determine who is responsible—the developer, the hospital, or the clinician. The principle of accountability would be applied to ensure clear ownership and remediation processes.
Why candidates choose this
Candidates may confuse accountability with transparency because both involve oversight, but accountability focuses on responsibility for outcomes, not on explaining how decisions are made.
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
Transparency
Transparency in AI means that the inner workings, decision-making processes, and data used by an AI system are open, understandable, and auditable by humans.
About these practice questions
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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.