The answer is Bob, the individual who deployed the model without the required ethics approval. In AI governance, the deployment step is the final gate where compliance checks must be confirmed, making the deployer directly accountable for releasing an unapproved model into production. This scenario tests your understanding of the AI lifecycle accountability chain on the CompTIA AI+ AI0-001 exam, where a common trap is to blame the data scientist (Alice) for training or the system for flagging the anomaly, rather than the person who executed the deployment action. The audit log clearly shows no approval step before Bob’s deployment, isolating his responsibility for the compliance failure. Memory tip: remember "Deployer Decides" — the person who pushes the button owns the compliance outcome, not the builder or the monitor.
AI0-001 AI Security, Ethics and Governance Practice Question
This AI0-001 practice question tests your understanding of ai security, ethics and governance. The scenario asks you to isolate a root cause — eliminate options that address a different problem before choosing. 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.
Exhibit
Model Audit Log - 2024-09-01
Timestamp | Event | User | Details
2024-09-01 08:15 | Model training started | alice | dataset:v3, hyperparams:...
2024-09-01 09:30 | Model training completed| alice | accuracy:0.94
2024-09-01 10:00 | Model deployed | bob | endpoint:prod
2024-09-01 10:05 | Prediction request | system | 1500 requests/min
2024-09-01 10:10 | Anomaly detected | system | accuracy drop to 0.72
2024-09-01 10:15 | Model rollback | carol | version: v2.1
Refer to the exhibit. An AI governance review finds that a model was deployed without required ethics approval. Based on the audit log, who is most responsible for the compliance failure?
Model Audit Log - 2024-09-01
Timestamp | Event | User | Details
2024-09-01 08:15 | Model training started | alice | dataset:v3, hyperparams:...
2024-09-01 09:30 | Model training completed| alice | accuracy:0.94
2024-09-01 10:00 | Model deployed | bob | endpoint:prod
2024-09-01 10:05 | Prediction request | system | 1500 requests/min
2024-09-01 10:10 | Anomaly detected | system | accuracy drop to 0.72
2024-09-01 10:15 | Model rollback | carol | version: v2.1
A
Bob
Bob deployed the model without ethics approval.
B
Alice
Why wrong: Alice trained the model but did not deploy.
C
Carol
Why wrong: Carol rolled back after the issue was detected.
D
System
Why wrong: System detected anomaly, not responsible for deployment.
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Bob
Option B (Bob) is correct because he deployed the model without ethics approval. The log shows no approval step before deployment. Option A (Alice) trained the model but did not deploy. Option C (Carol) performed the rollback after the issue. Option D (System) detected the anomaly but is not responsible.
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.
✓
Bob
Why this is correct
Bob deployed the model without ethics approval.
Related concept
Read the scenario before looking for a memorised answer.
✗
Alice
Why it's wrong here
Alice trained the model but did not deploy.
✗
Carol
Why it's wrong here
Carol rolled back after the issue was detected.
✗
System
Why it's wrong here
System detected anomaly, not responsible for deployment.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Many certification questions include familiar terms but test a specific constraint. Read the exact wording before choosing an answer that is generally true but wrong for this case.
Detailed technical explanation
How to think about this question
This question should be treated as a scenario, not a definition check. Identify the problem, the constraint and the best action. Then compare each option against those facts.
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.
Use explanations to understand the rule behind the answer.
TExam Day Tips
→Underline the problem statement mentally.
→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 practitioner preparing for the AI0-001 exam encounters this exact type of scenario on the job. The correct answer here is not the most general option — it is the best answer for the specific constraint described. Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option. Real exam questions reward reading the full scenario before eliminating options, because the constraint defines which answer fits.
What to study next
Got this wrong? Here's your next step.
Identify which AI0-001 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
AI Security, Ethics and Governance — This question tests AI Security, Ethics and Governance — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Bob — Option B (Bob) is correct because he deployed the model without ethics approval. The log shows no approval step before deployment. Option A (Alice) trained the model but did not deploy. Option C (Carol) performed the rollback after the issue. Option D (System) detected the anomaly but is not responsible.
What should I do if I get this AI0-001 question wrong?
Identify which AI0-001 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
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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