Answer: Collect a stratified sample of production traffic to build the training dataset, Conduct fairness tests across sensitive categories and demographics on the trained model

The question requires selecting two actions to prevent unfair bias in a model for targeted advertising. Option D (Collect a stratified sample of production traffic) is optimal because stratified sampling ensures proportional representation of demographic groups in the training data, reducing bias from underrepresentation. Option E (Conduct fairness tests across sensitive categories) is essential for post-training evaluation to detect and address disparities in model performance across demographics. These two actions address bias prevention both during dataset creation (D) and after model training (E). Option A is unsuitable as including all demographic features may not guarantee fairness and could introduce noise. Option B risks reinforcing bias by focusing only on high-interaction groups. Option C (random sampling) is less effective than stratified sampling for ensuring demographic balance, as it may not capture minority groups adequately.

Author: LeetQuiz Editorial Team