Explanation:
The question requires ingesting data from a CSV file hosted on a public website with the least administrative effort, and no dataset exists for this file. Option C (Import Data) is optimal because it directly reads data from web URLs without requiring dataset registration, minimizing administrative steps. The community consensus strongly supports C (100% in answers_community, multiple upvoted comments), noting that Import Data supports HTTP URLs and avoids the overhead of dataset creation. Option D (Dataset) is less suitable because it requires registering the dataset first, which adds administrative effort. Option A (Convert to TXT) is irrelevant for ingestion, and Option B (Copy Data) is typically for copying between storage locations, not direct web ingestion.
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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 public website. A dataset for this file does not already exist in the workspace.
Which module should you add to the pipeline to ingest the data with the least administrative effort?
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.