Difference between upload and mount

Hey,

I'm confused by the methodes of the class PipelineData. Is there a tutorial that explains and shows when and how to use as_dataset, as_mount, as_upload, as_input? I can only find very basic examples.

Thanks

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* ID: 76780996-4443-4aff-18c0-65195afcab00
* Version Independent ID: 6032c190-bb76-7050-89fa-30476b36b43f
* Content: [azureml.pipeline.core.PipelineData class - Azure Machine Learning Python](https://docs.microsoft.com/en-us/python/api/azureml-pipeline-core/azureml.pipeline.core.pipelinedata?view=azure-ml-py)
* Content Source: [AzureML-Docset/stable/docs-ref-autogen/azureml-pipeline-core/azureml.pipeline.core.PipelineData.yml](https://github.com/MicrosoftDocs/MachineLearning-Python-pr/blob/live/AzureML-Docset/stable/docs-ref-autogen/azureml-pipeline-core/azureml.pipeline.core.PipelineData.yml)
* Service: **machine-learning**
* Sub-service: **core**
* GitHub Login: @DebFro
* Microsoft Alias: **debfro**

Lies die PipelineData API-Seite und den Quelltext unter AzureML-Docset/stable/docs-ref-autogen/azureml-pipeline-core/azureml.pipeline.core.PipelineData.yml. Kläre, wann und wie as_dataset, as_mount, as_upload und as_input verwendet werden sollen, insbesondere den Unterschied zwischen Upload und Mount. Als abgeschlossen gilt die Aufgabe, wenn die Dokumentation ein praxisnahes Tutorial oder Beispiele enthält, die diese Methoden abdecken.

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