DP-100 · Question #195
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The correct answer is B. No. Use two file paths. Use Dataset.Tabular_from_delimeted, instead of Dataset.File.from_files as the data isn't A FileDataset references single or multiple files in your datastores or public URLs. If your data is already cleansed, and ready to use in training experiments, you can do
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- AYes
- BNo
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(27 responses)- A30% (8)
- B70% (19)
Explanation
Use two file paths. Use Dataset.Tabular_from_delimeted, instead of Dataset.File.from_files as the data isn't A FileDataset references single or multiple files in your datastores or public URLs. If your data is already cleansed, and ready to use in training experiments, you can download or mount the files to your compute as a FileDataset object. A TabularDataset represents data in a tabular format by parsing the provided file or list of files. This provides you with the ability to materialize the data into a pandas or Spark DataFrame so you can work with familiar data preparation and training libraries without having to leave your notebook. You can create a TabularDataset object from .csv, .tsv, .parquet, .jsonl files, and from SQL query results. https://docs.microsoft.com/en-us/azure/machine-learning/how-to-create-register-datasets
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