Azure Data Factory for Beginners - Build Data Ingestion - Add the For Each CSV File Activity and Test Ingestion

The video tutorial guides viewers through the process of creating a dataset, setting up a pipeline, and configuring activities for data ingestion. It covers the addition of a 'for each' activity, setting source and target parameters, and constructing directory paths using dynamic content. The tutorial concludes with validation and execution of the pipeline, ensuring data is processed and stored correctly.

What is the initial task mentioned for handling data from the finance container?

• Deleting unnecessary files

• Archiving old data

• Analyzing financial trends

• Creating a dataset to read files

What activity is added to the pipeline to handle each file individually?

• For each activity

• Filter activity

• Debug activity

• Copy activity

Which array is used to supply items for the 'for each' activity?

• Source array

• Target array

• Value array

• Child items array

What is the purpose of the copy activity in the pipeline?

• To delete files

• To move files to a new location

• To copy files into the data link

• To rename files

What function is used to extract the directory name from a file name?

• Split function

• Index function

• Join function

• Substring function

Which function is used to get the current date and time in the desired format?

• Format date time function

• Get current time function

• Date convert function

• Time zone function

What is the final step after validating the pipeline?

• Deleting the pipeline

• Running the entire pipeline

• Debugging the pipeline

• Archiving the pipeline