You are using the Azure Machine Learning Python SDK to define a multi-step pipeline. You observe that during execution, some steps are skipped and cached output from a previous run is used. You need to ensure all steps run every time, regardless of whether parameters or the source directory contents have changed.

What are two distinct methods to accomplish this? Each correct answer presents a complete solution.