DP-100 Question #134: Real Exam Question with Answer & Explanation

Question

A set of CSV files contains sales records. All the CSV files have the same data schema. Each CSV file contains the sales record for a particular month and has the filename sales.csv. Each file in stored in a folder that indicates the month and year when the data was recorded. The folders are in an Azure blob container for which a datastore has been defined in an Azure Machine Learning workspace. The folders are organized in a parent folder named sales to create the following hierarchical structure: At the end of each month, a new folder with that month's sales file is added to the sales folder. You plan to use the sales data to train a machine learning model based on the following requirements: - You must define a dataset that loads all of the sales data to date into a structure that can be easily converted to a dataframe. - You must be able to create experiments that use only data that was created before a specific previous month, ignoring any data that was added after that month. - You must register the minimum number of datasets possible. You need to register the sales data as a dataset in Azure Machine Learning service workspace. What should you do?

Options

• ACreate a tabular dataset that references the datastore and explicitly specifies each 'sales/mm-
• BCreate a tabular dataset that references the datastore and specifies the path 'sales/*/sales.csv',
• CCreate a new tabular dataset that references the datastore and explicitly specifies each
• DCreate a tabular dataset that references the datastore and explicitly specifies each 'sales/mm-