Question 1easymultiple choice
Full question →easymultiple choiceObjective-mapped
A healthcare company deploys an AI system to assist doctors in diagnosing skin conditions from images. The system is a deep neural network that does not provide explanations for its predictions. The company implements a process where every AI recommendation is logged, and a medical team reviews any adverse outcomes to determine if the system or a human made an error. The company also clearly assigns responsibility for the system's outputs to a specific clinical oversight committee. Which Microsoft responsible AI principle is most directly being implemented by these actions?
Answer choices
Why each option matters
Good practice is not just finding the correct option. The wrong answers often show the exact trap the exam wants you to fall into.
A
Best answer
Accountability
Accountability means that the organization takes ownership of the AI system's outcomes, establishes clear oversight, and has processes to audit and learn from mistakes. This matches the described logging, review, and committee assignment.
B
Distractor review
Fairness
Fairness is about avoiding bias and ensuring equitable outcomes for all groups. The scenario does not mention any bias analysis or equitable treatment; it focuses on responsibility for outcomes.
C
Distractor review
Reliability and safety
Reliability and safety require consistent performance under expected conditions. While logging and review can help improve reliability, the primary focus of the described actions is on assigning responsibility, not on testing or ensuring the system's safe operation.
D
Distractor review
Transparency
Transparency means users can understand how and why the system made a decision. Since the system is a black box with no explanations, transparency is not achieved. The accountability measures do not make the system's inner workings transparent.
Common exam trap
Common exam trap: NAT rules depend on direction and matching traffic
NAT is not only about the public address. The inside/outside interface roles and the ACL or rule that matches traffic are just as important.
Technical deep dive
How to think about this question
NAT questions usually test address translation, overload/PAT behaviour, static mappings and whether the right traffic is being translated. Read the interface direction and address terms carefully.
KKey Concepts to Remember
- Static NAT maps one inside address to one outside address.
- PAT allows many inside hosts to share one public address using ports.
- Inside local and inside global describe the private and translated addresses.
- NAT ACLs identify traffic for translation, not always security filtering.
TExam Day Tips
- Identify inside and outside interfaces first.
- Check whether the scenario needs static NAT, dynamic NAT or PAT.
- Do not confuse NAT matching ACLs with normal packet-filtering intent.
Related practice questions
Related AI-900 practice-question pages
Use these pages to review the topic behind this question. This is how one missed question becomes focused revision.
More questions from this exam
Keep practising from the same exam bank, or move into a focused topic page if this question exposed a weak area.
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Question 5
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Question 6
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FAQ
Questions learners often ask
What does this AI-900 question test?
Static NAT maps one inside address to one outside address.
What is the correct answer to this question?
The correct answer is: Accountability — Accountability means that those who create and deploy AI systems should be clearly responsible for how they operate. By logging decisions, reviewing adverse outcomes, and assigning a specific oversight committee, the company ensures that there is human accountability for the system's actions, even if the model itself is a black box. Fairness is about ensuring the system does not discriminate. Reliability & safety requires the system to perform reliably under expected conditions. Transparency is about making the system's behavior understandable to users, which is not fully achieved here since the model provides no explanations, but the accountability measures still fulfill the principle of accountability.
What should I do if I get this AI-900 question wrong?
Then try more questions from the same exam bank and focus on understanding why the wrong options are tempting.
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