Designing and Implementing a Data Science Solution on Azure — Question 139

You manage an Azure Machine Learning workspace. You have a folder that contains a CSV file. The folder is registered as a folder data asset.

You plan to use the folder data asset for data wrangling during interactive development.

You need to access and load the folder data asset into a Pandas data frame.

Which method should you use to achieve this goal?

Answer options

• A. mltable.from_parquet_files()
• B. mltable.from_delimited_files()
• C. mltable.from_data_lake()
• D. mltable.load()

Correct answer: B

Explanation

The correct method to load a folder data asset containing CSV files into a Pandas data frame is mltable.from_delimited_files(), as it is specifically designed for handling delimited file formats like CSV. The other options either target different file types or are not intended for loading data into a Pandas data frame.