- A
Implement a data retention policy that deletes customer data after 30 days
Why wrong: While data retention policies are good practice, GDPR does not specify a fixed 30-day period; it requires that data be kept no longer than necessary.
- B
Ensure that only data necessary for the prediction is used (data minimisation)
Data minimisation is a key principle in GDPR; only relevant data should be processed.
- C
Provide customers with the right to explanation for automated decisions that significantly affect them
GDPR includes a right to explanation for automated individual decision-making, including profiling.
- D
Audit AI models for bias on a quarterly basis
Why wrong: Bias auditing is recommended but not explicitly required by GDPR; it is more of an ethical practice.
- E
Obtain explicit consent from customers for using their data in AI models
Consent is a lawful basis for processing personal data under GDPR, and must be obtained for AI use.
AI Associate Ethical AI and Data Privacy Practice Question
This AI Associate practice question tests your understanding of ethical ai and data privacy. 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 company must comply with GDPR when using Einstein Features to process customer data for AI predictions. Which THREE actions are required under GDPR that relate directly to AI-driven decisions?
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
Ensure that only data necessary for the prediction is used (data minimisation)
GDPR requires a lawful basis for processing (e.g., consent), the right to explanation for automated decisions, and data minimization. Data retention policy is important but not exclusive to AI decisions; and bias auditing is a best practice but not a GDPR requirement.
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.
- ✗
Implement a data retention policy that deletes customer data after 30 days
Why it's wrong here
While data retention policies are good practice, GDPR does not specify a fixed 30-day period; it requires that data be kept no longer than necessary.
- ✓
Ensure that only data necessary for the prediction is used (data minimisation)
Why this is correct
Data minimisation is a key principle in GDPR; only relevant data should be processed.
Related concept
Read the scenario before looking for a memorised answer.
- ✓
Provide customers with the right to explanation for automated decisions that significantly affect them
Why this is correct
GDPR includes a right to explanation for automated individual decision-making, including profiling.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Audit AI models for bias on a quarterly basis
Why it's wrong here
Bias auditing is recommended but not explicitly required by GDPR; it is more of an ethical practice.
- ✓
Obtain explicit consent from customers for using their data in AI models
Why this is correct
Consent is a lawful basis for processing personal data under GDPR, and must be obtained for AI use.
Related concept
Read the scenario before looking for a memorised answer.
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 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 AI Associate 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.
- →
Ethical AI and Data Privacy — study guide chapter
Learn the concepts, then practise the questions
- →
Ethical AI and Data Privacy practice questions
Targeted practice on this topic area only
- →
All AI Associate questions
1,000 questions across all exam domains
- →
Salesforce AI Associate AI Associate study guide
Full concept coverage aligned to exam objectives
- →
AI Associate practice test guide
How to use practice tests most effectively before exam day
Related practice questions
Related AI Associate practice-question pages
Use these pages to review the topic behind this question. This is how one missed question becomes focused revision.
Ethical AI and Data Privacy practice questions
Practise AI Associate questions linked to Ethical AI and Data Privacy.
Salesforce Einstein AI Features practice questions
Practise AI Associate questions linked to Salesforce Einstein AI Features.
AI Fundamentals practice questions
Practise AI Associate questions linked to AI Fundamentals.
AI Capabilities in CRM practice questions
Practise AI Associate questions linked to AI Capabilities in CRM.
Ethical Considerations of AI practice questions
Practise AI Associate questions linked to Ethical Considerations of AI.
Data for AI practice questions
Practise AI Associate questions linked to Data for AI.
AI Associate fundamentals practice questions
Practise AI Associate questions linked to AI Associate fundamentals.
AI Associate scenario practice questions
Practise AI Associate questions linked to AI Associate scenario.
AI Associate troubleshooting practice questions
Practise AI Associate questions linked to AI Associate troubleshooting.
Practice this exam
Start a free AI Associate practice session
Short sessions build daily habit. Longer sessions build exam-day stamina. Try a timed session to simulate real conditions.
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: Ensure that only data necessary for the prediction is used (data minimisation) — GDPR requires a lawful basis for processing (e.g., consent), the right to explanation for automated decisions, and data minimization. Data retention policy is important but not exclusive to AI decisions; and bias auditing is a best practice but not a GDPR requirement.
What should I do if I get this AI Associate question wrong?
Identify which AI Associate 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 →
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.
Question Discussion
Share a tip, memory trick, or ask about the reasoning behind this question. Do not post real exam questions, leaked content, braindumps, or copyrighted exam material. Comments are moderated and may be removed without notice.
Sign in to join the discussion.