Question 194 of 985
AI-900 Practice Question: Describe Artificial Intelligence workloads and considerations
A city deploys an AI system that automatically issues parking fines based on camera images. A citizen disputes a fine, claiming the system misidentified their car. The city cannot provide an explanation of how the system reached its decision because the model is too complex to interpret. Which Microsoft responsible AI principle is most directly violated?
⚠ Common exam trap
Many candidates confuse 'transparency' with 'reliability and safety', assuming that if the system works accurately, no principle is violated, but the core issue is the inability to explain the decision, not the system's correctness.
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 city cannot explain how the AI system reached its decision, which directly violates the transparency principle. Transparency requires that AI systems be understandable and that organizations provide meaningful explanations of their behavior, especially when decisions have legal or financial consequences. The inability to interpret the model's reasoning prevents the citizen from understanding or challenging the fine, undermining trust and accountability.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Transparency
Why this is correct
Transparency is violated because the AI system issues a parking ticket without providing a clear, understandable rationale for the decision. A driver should be able to discover what evidence (e.g., camera image, time, zone rule) triggered the fine and how that evidence maps to the violation. Microsoft's responsible AI principle of transparency requires meaningful explanations, appropriate documentation, and clear communication about how the system works, not just the output.
- ✗
Privacy and security
Why it's wrong here
Privacy and security concern how data is collected, stored, and protected from unauthorized access, including encryption, access controls, and compliance with data protection laws. Although issuing parking tickets involves license plate data, nothing in the scenario suggests a data breach, unauthorized disclosure, or insecure processing. The core issue is the system's unexplained decision, which has nothing to do with safeguarding personal data.
When this WOULD be correct
A healthcare AI system uses patient medical records without explicit consent, and a patient's private data is leaked due to insufficient security measures. The question asks which principle is violated, making Privacy and security the correct answer.
- ✗
Inclusiveness
Why it's wrong here
Inclusiveness addresses whether the AI system fairly serves people of all backgrounds, abilities, and circumstances, such as ensuring accessibility and avoiding disparate treatment. The scenario contains no information about bias against any group or about certain drivers being disproportionately affected. The problem is the absence of an explanation for a ticketing decision, which is not a matter of inclusive design.
When this WOULD be correct
A question where an AI hiring tool screens out candidates based on gender or ethnicity, failing to consider diverse backgrounds, would make Inclusiveness the correct answer.
- ✗
Reliability and safety
Why it's wrong here
Reliability and safety mean the AI should perform its function accurately and without harmful errors, such as falsely ticketing a vehicle that should not be ticketed, and should remain safe under real-world conditions. While an inability to explain a decision could coexist with a reliable system, the described problem is specifically that the decision is opaque or unjustifiable. Transparency is the principle that directly addresses this lack of meaningful human understanding of the AI's reasoning.
When this WOULD be correct
If the question described that the AI system frequently misidentifies vehicles in certain lighting conditions, leading to incorrect fines, and the city cannot guarantee consistent performance, then reliability and safety would be the most directly violated principle.
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 violated because the AI system issues a parking ticket without providing a clear, understandable rationale for the decision. A driver should be able to discover what evidence (e.g., camera image, time, zone rule) triggered the fine and how that evidence maps to the violation. Microsoft's responsible AI principle of transparency requires meaningful explanations, appropriate documentation, and clear communication about how the system works, not just the output.
✗Privacy and securityWrong answer — click to see why▾
Why this is wrong here
The question focuses on the inability to explain the model's decision, which directly relates to transparency. Privacy and security are not at issue because the citizen's data is not being mishandled or exposed.
★ When this WOULD be the correct answer
A healthcare AI system uses patient medical records without explicit consent, and a patient's private data is leaked due to insufficient security measures. The question asks which principle is violated, making Privacy and security the correct answer.
Why candidates choose this
Candidates may confuse the lack of explanation with a data privacy issue, thinking that if the system cannot explain its decision, it must be hiding something or misusing data, thus linking it to privacy concerns.
✗InclusivenessWrong answer — click to see why▾
Why this is wrong here
Inclusiveness focuses on ensuring AI systems serve all users fairly, including those with disabilities or diverse backgrounds. The issue here is lack of explainability, not exclusion of any group.
★ When this WOULD be the correct answer
A question where an AI hiring tool screens out candidates based on gender or ethnicity, failing to consider diverse backgrounds, would make Inclusiveness the correct answer.
Why candidates choose this
Candidates may confuse 'lack of explanation' with 'unfair treatment,' mistakenly thinking the citizen's inability to understand the decision is an inclusiveness issue.
✗Reliability and safetyWrong answer — click to see why▾
Why this is wrong here
The question focuses on the inability to explain the model's decision, which directly violates the transparency principle. Reliability and safety concerns would involve system failures or incorrect predictions, not the lack of explanation.
★ When this WOULD be the correct answer
If the question described that the AI system frequently misidentifies vehicles in certain lighting conditions, leading to incorrect fines, and the city cannot guarantee consistent performance, then reliability and safety would be the most directly violated principle.
Why candidates choose this
Candidates may confuse the lack of explanation with unreliability, thinking that if the system cannot explain its decisions, it must be unreliable or unsafe.
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?”
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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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