In the context of handling missing data during aws video

Full Certification Question

In the context of handling missing data during model preparation, a machine learning team wants to minimize bias and maximize data utility. They apply techniques such as median replacement, mean substitution, and K-nearest neighbors imputation. Which feature engineering process are they performing?