An e-commerce company’s ML engineer is tasked with building a machine learning model to predict customer purchase behavior. To ensure consistency and reusability of features, the engineer decides to use Amazon SageMaker Feature Store to create, manage, and store features for training and inference. Given this context, consider the following steps: Prepare training dataset by accessing the feature data from the store Load the feature data into the store. Set up a feature group to organize and store features. What should be the correct order of steps to create and use the features in Amazon SageMaker Feature Store?