A healthcare company is developing a machine learning model to predict patient readmission rates. The dataset contains tabular data with ordered features such as admission dates and billing amounts, alongside sensitive patient information like social security numbers and contact details. The ML engineer must ensure that sensitive data is masked before sharing the dataset with the data science team for model development, while preserving the meaningful structure and order of the data. Which solution will best meet these requirements? (Select two)