Câu 20: Databricks Certified Machine Learning Associate

A data scientist is using Spark ML to engineer features for an exploratory machine learning project. They decide they want to standardize their features using the following code block: Upon code review, a colleague expressed concern with the features being standardized prior to splitting the data into a training set and a test set. Which of the following changes can the data scientist make to address the concern?

1. A. Utilize the MinMaxScaler object to standardize the training data according to global minimum and maximum values
2. B. Utilize the MinMaxScaler object to standardize the test data according to global minimum and maximum values
3. C. Utilize a cross-validation process rather than a train-test split process to remove the need for standardizing data
4. D. Utilize the Pipeline API to standardize the training data according to the test data's summary statistics
5. E. Utilize the Pipeline API to standardize the test data according to the training data's summary statistics — đáp án hiện tại