Concept: In Azure Machine Learning, pipelines with multiple long-running steps can be time-intensive. To optimize execution time, Azure ML includes caching and reuse mechanisms. By default, a pipeline step's output from a previous run is reused instead of being rerun, provided that its script, source directory, and parameters remain unchanged. Question: Which three of the following statements are true regarding Step Reuse in Azure Machine Learning? (Select three.)