Consider a scenario where you are working with a Spark ML model and a dataset with multiple features. You want to optimize the model's hyperparameters using Hyperopt, but you are unsure about the impact of feature selection on the model's performance. How would you approach this situation to effectively incorporate feature selection into the hyperparameter tuning process? | Databricks Certified Machine Learning - Associate Quiz