AI Associate Data for AI Practice Question
A company wants to use customer purchase history to train a recommendation model. Which action is essential to comply with data privacy regulations?
⚠ Common exam trap
Watch out — candidates often assume internal data is exempt from privacy regulations or that anonymization after training retroactively fixes compliance, but regulations require a lawful basis before any processing begins.
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
✓
Obtain explicit consent from customers.
Data privacy regulations such as GDPR and CCPA require a lawful basis for processing personal data, and explicit consent is a primary lawful basis when using customer purchase history for training a recommendation model. Without obtaining explicit consent, the company would be processing personal data without a valid legal ground, violating regulations that mandate transparency and user control over their data.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Use only publicly available data.
Why it's wrong here
Public data may still have privacy restrictions and may not meet business needs.
- ✗
Ignore regulations because data is internal.
Why it's wrong here
Internal data is still subject to privacy laws; ignoring regulations is not acceptable.
- ✓
Obtain explicit consent from customers.
Why this is correct
Explicit consent is legally required for processing personal data for AI training.
- ✗
Anonymize the data after training.
Why it's wrong here
Anonymization is important, but consent must be obtained before using data.
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JA
Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
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.