Azure Data Factory for Beginners - Build Data Ingestion - Add Orchestration Pipeline - Part 2

The video tutorial guides viewers through the process of initializing a batch run and creating an orchestration pipeline with a lookup activity. It covers inserting a For Each activity to iterate through batch details, executing an ingestion pipeline, and setting batch status using a stored procedure. The tutorial concludes with testing and debugging the pipeline using Azure Data Studio.

What is the purpose of the 'for each' loop in the orchestration pipeline?

• To create a new orchestration pipeline

• To execute the ingestion pipeline

• To traverse through each batch detail entry

• To initialize the batch run

Where do the items for the 'for each' activity come from?

• The lookup activity

• The main canvas

• The stored procedure

• The ingestion pipeline

What is the main activity added within the 'for each' loop?

• Execution of the ingestion pipeline

• Creation of a new batch

• Setting the batch status

• Validation of the pipeline

What is the role of the stored procedure in the pipeline?

• To validate the pipeline

• To execute the ingestion pipeline

• To set a new batch status and initialize the next run

• To initialize the batch run

What should be done after publishing the pipeline?

• Test the pipeline

• Start a new batch run

• Validate the pipeline

• Add a new stored procedure

What is expected to be seen in Azure Data Studio during the batch run?

• The batch run should be completed

• The batch run should be in progress

• The ingestion pipeline should be validated

• The stored procedure should be executed

What indicates the successful completion of the batch run?

• The stored procedure is validated

• A new orchestration pipeline is created

• A new run ID and snapshot date are generated

• The ingestion pipeline is executed