AI Associate Data for AI Practice Question
A company wants to train an AI model to predict customer churn using historical data that contains many missing values. What is the best practice for handling missing data?
⚠ Common exam trap
Salesforce often tests the misconception that removing missing data is safe, but the trap here is that candidates overlook how data removal can shrink the dataset and introduce bias, while imputation is a more balanced and widely accepted practice in AI workflows.
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
✓
Impute missing values using mean or median.
Imputing missing values using mean or median is a standard practice that preserves the dataset size and statistical properties, allowing the AI model to learn from all available features without introducing bias from data removal. This approach is particularly effective for numerical features in customer churn prediction, where missing values are often random and imputation maintains the distribution for algorithms like logistic regression or gradient boosting.
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 features without missing values.
Why it's wrong here
Discarding features may lose important information.
- ✗
Ignore missing values as they do not affect AI training.
Why it's wrong here
Ignoring missing values can lead to errors.
- ✓
Impute missing values using mean or median.
Why this is correct
Imputation preserves data and reduces bias.
- ✗
Remove all records with missing values.
Why it's wrong here
Removing records reduces dataset size and may introduce bias.
Go deeper
Related to this question
About these practice questions
Courseiva writes every AI Associate question from scratch — 753 in total, each with an explanation and a wrong-answer breakdown. None are copied from real exams or dumps. 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.