Azure Data Factory for Beginners - Build Data Ingestion - Create Sink Dataset

In this video tutorial, the instructor guides viewers through the process of creating a sync data set in Azure Data Factory. The tutorial covers navigating the Azure interface, configuring data set names and file paths, allocating necessary parameters, and finalizing the data set. The video concludes with saving the changes to a Git repository and a brief mention of the next lecture's topic.

What is the first step in creating a sync data set in Azure Data Factory?

• Choose the linked service

• Navigate to Azure Data Lake Storage

• Select the data format

• Insert a data set name

Which format is chosen for the data type in the tutorial?

• JSON

• Parquet

• Delimited Text

• Avro

What is the default value for the directory parameter?

• staging/finance

• processed/finance

• raw/finance

• final/finance

Why does the instructor change the data set name?

• To change the data format

• To correct a spelling mistake

• To remove an unnecessary folder reference

• To add a new parameter

What is the final step before saving the data set configuration?

• Validate the data set

• Insert a data set name

• Select the data format

• Choose the linked service