Azure Data Factory for Beginners - Build Data Ingestion - Reading from Source to Target - Part 2

The video tutorial guides viewers through setting up a data pipeline using Azure. It begins with uploading datasets and setting up a UA lookup activity. The tutorial then focuses on implementing a 'for each' activity to ensure iterative data ingestion. It covers configuring copy data and metadata activities, followed by testing the pipeline and validating the data ingestion process. The tutorial concludes with a successful data ingestion demonstration.

What was the initial issue with the lookup activity in the video tutorial?

• It was set up with incorrect parameters.

• It was missing from the pipeline.

• It was incorrectly flowing into the copy data activity.

• It was not connected to any activity.

What is the purpose of adding a for-each activity in the pipeline?

• To validate the data before ingestion.

• To execute the ingestion process in a parallel manner.

• To ensure the ingestion process is executed iteratively.

• To simplify the pipeline structure.

What is the first step in setting up the for-each activity?

• Delete unnecessary relationships.

• Add dynamic content.

• Select the correct data set.

• Navigate to iteration and conditionals.

What should be done after copying activities into the for-each activity?

• Delete the original activities.

• Rearrange and reattach the activities.

• Change the data source.

• Add new parameters.

What should be done to ensure the names of activities make sense?

• Use random names.

• Use default names.

• Leave them unchanged.

• Modify the names to be descriptive.

Which function is used to combine the directory path and snapshot date?

• Append

• Join

• Merge

• Concat

What is the purpose of the format date time function?

• To change the time zone.

• To ensure the date format is consistent.

• To convert date to string.

• To add time to the date.

What is the role of the execute pipeline activity?

• To start the pipeline.

• To log pipeline metadata.

• To stop the pipeline.

• To delete old data.

What is the final step in testing the pipeline?

• Re-running the entire process.

• Deleting unnecessary items.

• Debugging the pipeline.

• Validating the data ingestion.

What is the final outcome of the tutorial?

• Data is successfully ingested and validated.

• Data is deleted.

• Pipeline fails to execute.

• Data is partially ingested.