- A
Obtain explicit consent from candidates
Why wrong: Obtaining explicit consent addresses the lawful basis for processing data under GDPR, but it does not fulfill the right to explanation for automated decisions.
- B
Implement a system to output the key factors influencing each decision
Correct. Outputting the key factors that influenced each decision provides the transparency required by GDPR's right to explanation (Article 22).
- C
Anonymize all candidate data before processing
Why wrong: Anonymizing data protects privacy but does not explain the logic or factors behind specific AI decisions.
- D
Always have a human review the AI's recommendations
Why wrong: Having a human review AI recommendations adds oversight but does not constitute an explanation of how the AI reached its conclusion.
GDPR Right to Explanation for AI Recruitment Tools
This AI0-001 practice question tests your understanding of ai security, ethics and governance. Match the stated requirement to the specific cloud service, access model, or configuration option — many options are valid in isolation but not for this scenario. 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 multinational corporation deploys an AI recruitment tool that must comply with GDPR's right to explanation. Which practice best ensures the tool meets this requirement?
Quick Answer
The correct practice is to implement a system that outputs the key factors influencing each decision. This directly satisfies the GDPR right to explanation for AI decisions by providing meaningful information about the decision logic, as required under GDPR Article 22, which mandates that automated individual decision-making must be explainable to the data subject. On the CompTIA AI+ AI0-001 exam, this question tests your understanding of how transparency obligations apply to AI recruitment tools, often appearing as a trap where candidates confuse privacy measures like anonymization or consent with the distinct requirement for explanation. A common mistake is selecting a human-in-the-loop safeguard, but that is a procedural check, not a direct explanation of the AI’s reasoning. Remember the mnemonic “Key Outputs, Not Consent” to recall that the core of the right to explanation is revealing the decisive factors, not just obtaining permission or anonymizing data.
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
Implement a system to output the key factors influencing each decision
Option B is correct because GDPR's right to explanation (Article 22) requires that data subjects receive meaningful information about the logic involved in automated decisions. Implementing a system that outputs the key factors influencing each decision directly satisfies this requirement. Option A is wrong because explicit consent pertains to data processing permissions, not to post-decision explanations. Option C is wrong because anonymization addresses data privacy, not the transparency of decision logic. Option D is wrong while human review adds a layer of oversight, it does not inherently provide an explanation of the decision factors.
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.
- ✗
Obtain explicit consent from candidates
Why it's wrong here
Obtaining explicit consent addresses the lawful basis for processing data under GDPR, but it does not fulfill the right to explanation for automated decisions.
- ✓
Implement a system to output the key factors influencing each decision
Why this is correct
Correct. Outputting the key factors that influenced each decision provides the transparency required by GDPR's right to explanation (Article 22).
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Anonymize all candidate data before processing
Why it's wrong here
Anonymizing data protects privacy but does not explain the logic or factors behind specific AI decisions.
- ✗
Always have a human review the AI's recommendations
Why it's wrong here
Having a human review AI recommendations adds oversight but does not constitute an explanation of how the AI reached its conclusion.
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.
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AI Security, Ethics and Governance — study guide chapter
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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: Implement a system to output the key factors influencing each decision — Option B is correct because GDPR's right to explanation (Article 22) requires that data subjects receive meaningful information about the logic involved in automated decisions. Implementing a system that outputs the key factors influencing each decision directly satisfies this requirement. Option A is wrong because explicit consent pertains to data processing permissions, not to post-decision explanations. Option C is wrong because anonymization addresses data privacy, not the transparency of decision logic. Option D is wrong while human review adds a layer of oversight, it does not inherently provide an explanation of the decision factors.
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.
About these practice questions
Courseiva creates original exam-style practice questions with explanations and wrong-answer analysis. It does not publish real exam questions, exam dumps, or protected exam content. Learn why practice questions differ from exam dumps →
Same concept, more angles
1 more ways this is tested on AI0-001
These questions test the same concept from different angles. Work through them to make sure you can recognise it however the exam phrases it.
Variation 1. An organization wants to ensure its AI systems comply with new regulations requiring explanations for automated decisions. Which governance practice is most directly relevant?
easy- A.Implementing differential privacy
- ✓ B.Deploying explainability tools
- C.Conducting bias audits
- D.Establishing an AI ethics board
Why B: 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.
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Last reviewed: Jun 23, 2026
This AI0-001 practice question is part of Courseiva's free CompTIA 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 AI0-001 exam.
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