AI-900 Practice Question: Describe Artificial Intelligence workloads and considerations
A company deploys an AI system to screen job applications. The system is a complex neural network that learns patterns from historical hiring data. A rejected candidate asks for an explanation, but the development team cannot describe how the decision was reached. Which Microsoft responsible AI principle is most directly violated?
⚠ Common exam trap
Many candidates confuse 'transparency' with 'fairness' because both relate to ethical AI, but transparency specifically requires explainability of decisions, not just absence of bias.
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's inability to explain how it reached a decision violates the transparency principle, which requires AI systems to be understandable and interpretable. Complex neural networks often act as black boxes, making it impossible to provide meaningful explanations to users, directly contradicting Microsoft's responsible AI guideline that decisions should be explainable.
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 in AI is specifically concerned with detecting and mitigating bias and ensuring equitable treatment across demographic groups. While an unexplainable screening model could potentially conceal bias, the scenario does not indicate any disparate impact or discriminatory outcome. The core violation is the absence of a rationale for the decision, not a fairness failure. Therefore, fairness does not apply here.
- ✓
Transparency
Why this is correct
Transparency is the principle that AI systems should be explainable and that those affected should be informed about how decisions are made. In job screening, a candidate who receives an automated rejection is entitled to understand the basis for that outcome. Because the AI system cannot explain its decisions, it directly violates transparency, making this the correct answer.
- ✗
Privacy and security
Why it's wrong here
Privacy and security govern how data is collected, stored, accessed, and protected from unauthorized use or breaches. The scenario does not mention any data leakage, consent violation, or insecure handling of applicant information. Even if all personal data were fully protected, the missing element is still the explanation for an automated decision, which is unrelated to privacy or security. Thus, this option is incorrect.
- ✗
Reliability and safety
Why it's wrong here
Reliability and safety ensure that an AI system works correctly, consistently, and without causing physical or operational harm. A screening model could be statistically accurate and free of errors yet still lack the ability to justify its decisions. The problem described is not about whether the system performs correctly, but about the inability to communicate why a decision was made. Therefore, reliability and safety are not the violated principles.
Go deeper
Related to this question
Learn chapter
Responsible AI Principles
Key term
Neural network
A neural network is a computing system modeled loosely on the human brain that learns to recognize patterns from data without being explicitly programmed for every rule.
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.
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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.