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Answer: You should add the Import Data object to the pipeline.
The question requires ingesting data from a CSV file hosted on a website with the least administrative effort, and no dataset exists. Option C (Import Data) is optimal because it directly reads from web URLs without requiring dataset registration, minimizing effort. Option D (Dataset) is incorrect as it requires creating and registering a dataset first, which adds administrative steps. Option A (Convert to TXT) is unsuitable as it doesn't address data ingestion. Option B (Copy Data) is less efficient for web URLs compared to Import Data. Community consensus strongly supports C, with high upvotes for comments citing its direct URL support and alignment with the 'least effort' requirement.
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You need to create an Azure Machine Learning designer pipeline that trains a model using data from a CSV file hosted on a website. A dataset for this file does not already exist. The data must be ingested into the pipeline with the least administrative effort.
Which module should you use?
A
You should make use of the Convert to TXT module.
B
You should add the Copy Data object to the pipeline.
C
You should add the Import Data object to the pipeline.
D
You should add the Dataset object to the pipeline.