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You have an Azure Machine Learning workspace with a folder containing a CSV file. The folder is registered as a folder data asset.
You intend to use this folder data asset for data wrangling during interactive development.
You need to load the folder data asset into a Pandas DataFrame.
Which method should you use?
A
mltable.from_parquet_files()
B
mltable.from_delimited_files()
C
mltable.from_data_lake()
D
mltable.load()