Discover the diverse data sources—Local Files and Datastore—available in Azure ML Designer’s Import Data module. Streamline data import processes effortlessly for enhanced analytics.
Table of Contents
Question
What are the two data sources for the Import Data module in the Azure ML Designer?
A. Split data
B. Datastore
C. Local files
D. URL via HTTP
E. Open Datasets
F. Azure SQL Database
Answer
B. Datastore
D. URL via HTTP
Explanation
There are only two ways to bring data into the Import module in the Azure ML designer: by Datastore and by URL via HTTP.
Datastore allows us to import data from several sources that you need to select as a type during Datastore registration, including Azure SQL Database.
Option A is incorrect because Split Data is a Data Transformation module of Azure ML Designer and is not the source for the Import data module.
Option C is incorrect because Local files are the source for Datasets creation. After you created a dataset, for example, by importing data from the local files, you can select this dataset in the Designer as a data source instead of the Import data module.
Option E is incorrect because Open datasets are the source for Datasets creation. After you created a new dataset, for example, by importing data from the Open datasets, you can select this dataset in the Designer as a data source instead of the Import data module.
Option F is incorrect because Azure SQL Database is not the option for Import Data Source selection. However, you can register and select a new Datastore that has Azure SQL Database as a Type, and then use this Datastore as an Import Data source.
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