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A novice data scientist has recently joined an ongoing machine learning project that operates as a daily retraining scheduled job, housed in a Databricks Repository. Their task is to enhance the feature engineering of the pipeline's preprocessing phase without disrupting the daily operations. What is the best strategy for the data scientist to adopt?