AI0-001 AI Security Practice Question
A data scientist is training a customer churn prediction model using sensitive customer data. To comply with data privacy regulations, they want to minimize the risk of membership inference attacks. Which TWO techniques should they consider?
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
✓
Use techniques to reduce overfitting, such as regularization or simpler models
Differential privacy and reducing model complexity (e.g., limiting overfitting) are effective against membership inference. Data augmentation and cross-validation do not directly reduce inference risk. Using a black-box API is about deployment, not training.
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 k-fold cross-validation to improve model accuracy
Why it's wrong here
Cross-validation is a model evaluation technique and does not directly mitigate membership inference.
- ✗
Deploy the model as a black-box API with no confidence scores
Why it's wrong here
Hiding confidence scores can reduce information leakage but is not a training-time technique and may not be sufficient alone.
- ✓
Use techniques to reduce overfitting, such as regularization or simpler models
Why this is correct
Overfitted models are more susceptible to membership inference because they memorize training examples; reducing overfitting helps generalize and lowers inference risk.
- ✓
Apply differential privacy during training
Why this is correct
Differential privacy adds noise to the training process, limiting the information that can be learned about any individual record, thereby reducing membership inference risk.
- ✗
Increase training data size through data augmentation
Why it's wrong here
Data augmentation increases dataset size but does not specifically protect against membership inference attacks.
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JA
Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
This AI0-001 practice question is part of Courseiva's free CompTIA 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 AI0-001 exam.