DP-100 · Question #196
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might…
The correct answer is A. Yes. This is the correct solution among the three variants. It properly uses Dataset.Tabular.from_delimited_files() with a glob path pattern (e.g., (datastore, 'data/*/.csv')) that captures all five quarterly CSV files across the 2018 and 2019 subfolders. It correctly registers the…
Question
Options
- AYes
- BNo
How the community answered
(65 responses)- A83% (54)
- B17% (11)
Explanation
This is the correct solution among the three variants. It properly uses Dataset.Tabular.from_delimited_files() with a glob path pattern (e.g., (datastore, 'data/**/*.csv')) that captures all five quarterly CSV files across the 2018 and 2019 subfolders. It correctly registers the resulting TabularDataset in the workspace under the required name using .register(workspace=ws, name='training_...'). This approach respects the file format (comma-delimited with a header row) and produces a dataset that can be consumed by training scripts. All requirements are met, so the answer is Yes.
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