You use the Azure Machine Learning Python SDK to define a pipeline that consists of multiple steps.
When you run the pipeline, you observe that some steps do not run. The cached output from a previous run is used instead.
You need to ensure that every step in the pipeline is run, even if the parameters and contents of the source directory have not changed since the previous run.
What are two possible ways to achieve this goal? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.
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Highly Voted 1 year, 9 months agomichaelmorar
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