- A
Store all recommendation logs for at least 10 years
Why wrong: Storage duration is a data retention practice, not directly an explanation right.
- B
Provide a list of the most influential factors for each recommendation
Score factors give customers insight into why a recommendation was made.
- C
Allow customers to opt out of all AI recommendations
Why wrong: Opt-out is a right but not specifically 'right to explanation'.
- D
Use only anonymized data for recommendations
Why wrong: Anonymization reduces privacy risk but does not fulfill the right to explanation.
- E
Offer a human review process if a customer requests an explanation
Human review satisfies the right to obtain human intervention and explanation.
Question 604 of 1,000
AI Associate Ethical AI and Data Privacy Practice Question
This AI Associate practice question tests your understanding of ethical ai and data privacy. 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 is deploying an AI system to recommend products to customers. To comply with GDPR's right to explanation, which TWO practices should they implement? (Choose 2)
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
✓
Provide a list of the most influential factors for each recommendation
Option B is correct because GDPR's right to explanation requires that individuals can understand the logic behind automated decisions. Providing a list of the most influential factors for each recommendation directly addresses this by offering transparency into the model's decision-making process, such as feature importance scores from a tree-based or linear model.
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.
- ✗
Store all recommendation logs for at least 10 years
Why it's wrong here
Storage duration is a data retention practice, not directly an explanation right.
- ✓
Provide a list of the most influential factors for each recommendation
Why this is correct
Score factors give customers insight into why a recommendation was made.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Allow customers to opt out of all AI recommendations
Why it's wrong here
Opt-out is a right but not specifically 'right to explanation'.
- ✗
Use only anonymized data for recommendations
Why it's wrong here
Anonymization reduces privacy risk but does not fulfill the right to explanation.
- ✓
Offer a human review process if a customer requests an explanation
Why this is correct
Human review satisfies the right to obtain human intervention and explanation.
Related concept
Read the scenario before looking for a memorised answer.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates confuse the right to explanation with the right to object or data minimization, leading them to select opt-out or anonymization options instead of the transparency and human review practices.
Detailed technical explanation
How to think about this question
Under the hood, the right to explanation often involves techniques like SHAP (SHapley Additive exPlanations) or LIME (Local Interpretable Model-agnostic Explanations) to compute per-instance feature contributions. In a real-world scenario, a customer receiving a loan denial must be told which factors (e.g., income, credit score) most influenced the decision, not just that the model rejected them.
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 AI Associate 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 exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
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Ethical AI and Data Privacy — study guide chapter
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FAQ
Questions learners often ask
What does this AI Associate question test?
Ethical AI and Data Privacy — This question tests Ethical AI and Data Privacy — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Provide a list of the most influential factors for each recommendation — Option B is correct because GDPR's right to explanation requires that individuals can understand the logic behind automated decisions. Providing a list of the most influential factors for each recommendation directly addresses this by offering transparency into the model's decision-making process, such as feature importance scores from a tree-based or linear model.
What should I do if I get this AI Associate 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.
About these practice questions
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Last reviewed: Jul 4, 2026
This AI Associate practice question is part of Courseiva's free Salesforce 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 AI Associate exam.
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