Scenario: Sam Wilson has recently joined Waconda Airlines, which is expanding its services globally. As part of this initiative, the airline seeks to analyze customer feedback using sentiment labels such as "negative," "neutral," and "positive." Sam is building a machine learning model using Azure AutoML. To ensure the model performs optimally, he must remove features that resemble record IDs, which do not contribute to predictive accuracy. Which preprocessing transformation should Sam apply to accomplish this?