Pre-Summer Sale Special Limited Time 65% Discount Offer - Ends in 0d 00h 00m 00s - Coupon code: ac4s65

A set of CSV files contains sales records.

Microsoft DP-100 Full Course Access
Microsoft DP-100 View All Questions

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?

A.

Create a tabular dataset that references the datastore and explicitly specifies each ' sales/mm-yyyy/sales.csv ' file every month. Register the dataset with the name sales_dataset each month, replacing theexisting dataset and specifying a tag named month indicating the month and year it was registered. Usethis dataset for all experiments.

B.

Create a tabular dataset that references the datastore and specifies the path ' sales/*/sales.csv ' , register the dataset with the name sales_dataset and a tag named month indicating the month and year it was registered, and use this dataset for all experiments.

C.

Create a new tabular dataset that references the datastore and explicitly specifies each ' sales/mm-yyyy/ sales.csv ' file every month. Register the dataset with the name sales_dataset_MM-YYYY each month with appropriate MM and YYYY values for the month and year. Use the appropriate month-specific dataset for experiments.

D.

Create a tabular dataset that references the datastore and explicitly specifies each ' sales/mm-yyyy/sales.csv ' file. Register the dataset with the name sales_dataset each month as a new version and with a tag named month indicating the month and year it was registered. Use this dataset for all experiments,identifying the version to be used based on the month tag as necessary.

DP-100 PDF/Engine
  • Printable Format
  • Value of Money
  • 100% Pass Assurance
  • Verified Answers
  • Researched by Industry Experts
  • Based on Real Exams Scenarios
  • 100% Real Questions
buy now DP-100 pdf
Get 65% Discount on All Products, Use Coupon: "ac4s65"
Next
You have an Azure Machine Learning workspace.
You train and publish a machine teaming model.
Previous