You plan to run a Python script as an Azure Machine Learning experiment. The script must read files from a hierarchy of folders. The files will be passed to the script as a dataset argument. You…

Question

Options

• Ato_pandas_dataframe()
• Bas_download()
• Cas_upload()
• Das_mount()

• A
  8% (2)
• B
  83% (20)
• C
  4% (1)
• D
  4% (1)

Explanation

For a FileDataset containing a hierarchy of folders, both as_download() and as_mount() are valid input modes. as_download() copies all files to the compute node's local disk before the script runs, giving fast local I/O. as_mount() exposes the dataset as a virtual filesystem so files are accessed on-demand from the datastore without a full copy. Both modes preserve the folder hierarchy. to_pandas_dataframe() is only valid for TabularDatasets, not FileDatasets containing image or binary files. as_upload() is not a valid input mode-it does not make data available for reading.

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