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You are tasked with developing an MLOps pipeline to retrain tree-based models in production. The pipeline must handle data ingestion, processing, model training, evaluation, and deployment. Given that your organization primarily utilizes PySpark for data preprocessing, you aim to minimize infrastructure management efforts. How should you configure the pipeline?