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You have constructed a Vertex AI pipeline consisting of two key stages. The initial step involves the preprocessing of a substantial 10 TB dataset, completing this task within approximately 1 hour, and then saving the resulting data in a Cloud Storage bucket. The subsequent step utilizes this preprocessed data to train a model. Your current objective is to make adjustments to the model's code, facilitating the testing of different algorithms. Throughout this process, you aim to reduce both the pipeline's execution time and cost while keeping any alterations to the pipeline itself to a minimum. What actions should you take to meet these goals?