- A
Implementing differential privacy
Why wrong: Differential privacy protects privacy, not provides explanations.
- B
Deploying explainability tools
Explainability tools generate explanations for individual decisions, meeting regulatory requirements.
- C
Conducting bias audits
Why wrong: Bias audits detect unfairness but do not provide per-decision explanations.
- D
Establishing an AI ethics board
Why wrong: An ethics board provides oversight but does not directly produce explanations.
Question 739 of 1,000
AI0-001 AI Security, Ethics and Governance Practice Question
This AI0-001 practice question tests your understanding of ai security, ethics and governance. 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.
An organization wants to ensure its AI systems comply with new regulations requiring explanations for automated decisions. Which governance practice is most directly relevant?
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
✓
Deploying explainability tools
Deploying explainability tools (B) is the most directly relevant governance practice because the regulation specifically requires explanations for automated decisions. Explainability tools, such as LIME or SHAP, generate human-interpretable justifications for model outputs, enabling compliance with transparency mandates. This directly addresses the need to understand and communicate why a particular decision was made, unlike other practices that focus on privacy, fairness, or oversight.
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.
- ✗
Implementing differential privacy
Why it's wrong here
Differential privacy protects privacy, not provides explanations.
- ✓
Deploying explainability tools
Why this is correct
Explainability tools generate explanations for individual decisions, meeting regulatory requirements.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Conducting bias audits
Why it's wrong here
Bias audits detect unfairness but do not provide per-decision explanations.
- ✗
Establishing an AI ethics board
Why it's wrong here
An ethics board provides oversight but does not directly produce explanations.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Cisco often tests the distinction between governance practices that are about oversight (ethics board) or data protection (differential privacy) versus those that directly implement a specific technical requirement (explainability), leading candidates to choose a broader or unrelated option.
Detailed technical explanation
How to think about this question
Explainability tools like SHAP (SHapley Additive exPlanations) use cooperative game theory to assign each feature an importance value for a specific prediction, providing a local explanation. In contrast, LIME (Local Interpretable Model-agnostic Explanations) approximates the model locally with an interpretable surrogate model. These tools are critical for regulated industries such as finance or healthcare, where decisions like loan denials or diagnosis recommendations must be auditable and justifiable to regulators and affected individuals.
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 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.
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FAQ
Questions learners often ask
What does this AI0-001 question test?
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: Deploying explainability tools — Deploying explainability tools (B) is the most directly relevant governance practice because the regulation specifically requires explanations for automated decisions. Explainability tools, such as LIME or SHAP, generate human-interpretable justifications for model outputs, enabling compliance with transparency mandates. This directly addresses the need to understand and communicate why a particular decision was made, unlike other practices that focus on privacy, fairness, or oversight.
What should I do if I get this AI0-001 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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Last reviewed: Jul 4, 2026
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