Microsoft Certified Azure Data Scientist Associate - DP-100
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You have multiple CSV files with the same schema named sales.csv, each stored in a folder named for the month and year (e.g., 2020/01/sales.csv, 2020/02/sales.csv), within a parent folder named sales in an Azure blob container. A new folder is added each month. You need to register a dataset for training a model with these requirements:
- The dataset must load all sales data into a structure easily convertible to a pandas DataFrame.
- You must be able to create experiments that use only data from before a specific previous month, excluding later data.
- You must register the minimum number of datasets.
What should you do?
You have multiple CSV files with the same schema named sales.csv, each stored in a folder named for the month and year (e.g., 2020/01/sales.csv, 2020/02/sales.csv), within a parent folder named sales in an Azure blob container. A new folder is added each month. You need to register a dataset for training a model with these requirements:
- The dataset must load all sales data into a structure easily convertible to a pandas DataFrame.
- You must be able to create experiments that use only data from before a specific previous month, excluding later data.
- You must register the minimum number of datasets.
What should you do?
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