- A
Fairness
Why wrong: Fairness is about ensuring AI does not discriminate, not about documenting overrides.
- B
Reliability and safety
Why wrong: Reliability and safety ensure the system works correctly, but documentation of overrides is more about accountability.
- C
Transparency
Why wrong: Transparency involves explaining how the system works, but the specific action of documenting overrides falls under accountability.
- D
Accountability
Accountability requires that humans are responsible for AI system outcomes and maintain records of decisions and overrides.
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 deploys an AI system to assist with diagnosing diseases from medical images. A doctor disagrees with the system's diagnosis and overrules it. The hospital wants to document this interaction for legal and audit purposes. Which Microsoft responsible AI principle is most directly relevant?
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
Accountability
The scenario involves documenting a human override of an AI system's diagnosis for legal and audit purposes, which directly relates to accountability. Accountability in responsible AI ensures that organizations can answer for their AI systems' decisions by maintaining clear records of interactions, including when humans overrule AI outputs. This principle requires traceability and governance mechanisms, such as audit trails, to assign responsibility for outcomes.
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 does not discriminate, not about documenting overrides.
- ✗
Reliability and safety
Why it's wrong here
Reliability and safety ensure the system works correctly, but documentation of overrides is more about accountability.
- ✗
Transparency
Why it's wrong here
Transparency involves explaining how the system works, but the specific action of documenting overrides falls under accountability.
- ✓
Accountability
Why this is correct
Accountability requires that humans are responsible for AI system outcomes and maintain records of decisions and overrides.
Related concept
Read the scenario before looking for a memorised answer.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Microsoft often tests the distinction between transparency (explaining how the AI works) and accountability (documenting who is responsible for decisions), leading candidates to incorrectly choose transparency when the question emphasizes legal documentation and audit trails.
Detailed technical explanation
How to think about this question
Under the hood, accountability in AI systems often requires implementing audit logs that capture every inference request, the model's output, confidence scores, and any human override actions with timestamps and user IDs. In a real-world scenario, a hospital using a deep learning model for radiology would need to log the DICOM image identifier, the model's prediction (e.g., 'pneumonia detected with 92% confidence'), the doctor's override decision, and the final diagnosis in a tamper-evident database to satisfy regulatory requirements like HIPAA or GDPR.
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.
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: Accountability — The scenario involves documenting a human override of an AI system's diagnosis for legal and audit purposes, which directly relates to accountability. Accountability in responsible AI ensures that organizations can answer for their AI systems' decisions by maintaining clear records of interactions, including when humans overrule AI outputs. This principle requires traceability and governance mechanisms, such as audit trails, to assign responsibility for outcomes.
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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Last reviewed: Jun 30, 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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