Answer: Use `fs.feature_lookup()` with specified features.

In the Feature Store, selecting specific features for model training involves using a function that retrieves the desired features from a feature table. The most suitable option is to use `fs.feature_lookup()` with specified features. This function is typically provided by the Feature Store API and allows you to specify the features you want to retrieve from a particular feature table, acting like a lookup mechanism based on feature names or identifiers. Other options either do not pertain to feature selection (`fs.create_model()`, `fs.create_feature_table()`) or are not as commonly used (`fs.select_features()`). Not specifying features when using `fs.create_training_set()` might result in the entire feature table being used, which is often not desirable. Therefore, `fs.feature_lookup()` is the targeted method for retrieving the specific features needed for training from the Feature Store.

Author: LeetQuiz Editorial Team