The data science team at an analytics company is working on a credit score model using SageMaker Linear Learner algorithm. The training data consists of these fields : name, age, annual salary, gender, employment status and credit score. The model needs to predict the credit score label. Which of the following data preparation steps need to be completed before working on the model?