Exam Professional Machine Learning Engineer topic 1 question 315 discussion

You are building an ML pipeline to process and analyze both steaming and batch datasets. You need the pipeline to handle data validation, preprocessing, model training, and model deployment in a consistent and automated way. You want to design an efficient and scalable solution that captures model training metadata and is easily reproducible. You want to be able to reuse custom components for different parts of your pipeline. What should you do?