AI Associate Data for AI Practice Question
A company is using customer support tickets to train a model for auto-classifying issues. The dataset includes fields like 'Case Title', 'Description', 'Product', and 'Customer Name'. Which privacy concern is most critical to address before training?
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
✓
Anonymize personal identifiable information (PII) in Description and Title
Anonymizing PII in the text fields is critical to avoid exposing customer information in model artifacts or predictions. Session tokens are irrelevant, and case numbers are not PII. Opt-in is a legal requirement but not directly about data preparation for AI.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Anonymize personal identifiable information (PII) in Description and Title
Why this is correct
PII in text must be removed to comply with privacy regulations and prevent bias.
- ✗
Encrypt session tokens used in the support system
Why it's wrong here
Session tokens are not typically included in case data.
- ✗
Remove all case numbers to prevent data leakage
Why it's wrong here
Case numbers are not PII and are needed for tracking.
- ✗
Ensure all customers have opted in before using their data
Why it's wrong here
Opt-in is important but is a consent step, not a data preparation step for AI.
Go deeper
Related to this question
About these practice questions
One of 753 original AI Associate practice questions on Courseiva, each with a full explanation and wrong-answer analysis — not exam dumps or protected exam content. Learn why practice questions differ from exam dumps →
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.