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 company uses an AI system to help screen job applications. The system ranks candidates based on their resumes. The company wants to ensure that if a candidate asks why they were not selected, the company can provide a clear explanation of the factors that influenced the AI's decision. Which Microsoft responsible AI principle is most directly relevant?
Correct. Transparency requires that AI systems be interpretable and that decisions can be explained to affected individuals.
B
Accountability
Why wrong: Incorrect. Accountability means the organization takes responsibility for the AI's outcomes, but does not specifically require providing explanations to individuals.
C
Privacy and security
Why wrong: Incorrect. Privacy and security are about protecting data, not about explaining decisions.
D
Reliability and safety
Why wrong: Incorrect. Reliability and safety ensure the system works as intended and does not cause harm, but do not inherently include explainability.
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Transparency
Transparency is the responsible AI principle that requires AI systems to be understandable and interpretable. In this scenario, the company needs to provide a clear explanation of why a candidate was not selected, which directly aligns with transparency's goal of making AI decisions explainable to users.
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.
✓
Transparency
Why this is correct
Correct. Transparency requires that AI systems be interpretable and that decisions can be explained to affected individuals.
Related concept
Read the scenario before looking for a memorised answer.
✗
Accountability
Why it's wrong here
Incorrect. Accountability means the organization takes responsibility for the AI's outcomes, but does not specifically require providing explanations to individuals.
✗
Privacy and security
Why it's wrong here
Incorrect. Privacy and security are about protecting data, not about explaining decisions.
✗
Reliability and safety
Why it's wrong here
Incorrect. Reliability and safety ensure the system works as intended and does not cause harm, but do not inherently include explainability.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Microsoft often tests transparency by confusing it with accountability, but the key distinction is that transparency is about explainability of decisions, while accountability is about ownership and governance of the system.
Detailed technical explanation
How to think about this question
Transparency in AI often involves techniques like interpretable machine learning models (e.g., decision trees, linear models) or post-hoc explanation methods (e.g., SHAP, LIME) that generate feature importance scores. In resume screening, a transparent system might output which resume sections (e.g., years of experience, education level) most influenced the ranking, enabling the company to justify the decision to the candidate.
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.
Related glossary terms
Concepts from this question explained
These glossary pages explain the core terms tested in this AI-900 question in full detail.
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: Transparency — Transparency is the responsible AI principle that requires AI systems to be understandable and interpretable. In this scenario, the company needs to provide a clear explanation of why a candidate was not selected, which directly aligns with transparency's goal of making AI decisions explainable to users.
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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Question Discussion
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