Azure Data Factory for Beginners - Build Data Ingestion - Create Event-Based Trigger

The video tutorial guides viewers through creating an event-based trigger in Azure Data Factory. It begins with an introduction to triggers, followed by a detailed explanation of different trigger types, including schedule, tumbling window, and storage events. The tutorial focuses on configuring a storage events trigger, providing steps to input subscription and container details. It then demonstrates how to attach the trigger to a Data Factory pipeline and concludes with finalizing the setup and saving changes, preparing for code merging.

What is the first step in creating an event-based trigger in Data Factory?

• Open the author section

• Create a new dataset

• Navigate to the manage section

• Select the pipeline

Which trigger type allows you to monitor a specific container for BLOB created events?

• Custom events

• Storage events

• Tumbling window

• Schedule

What information is needed to configure a storage events trigger?

• Pipeline name and schedule

• Subscription information and storage account name

• Trigger parameters and conditions

• Dataset and linked service

What is the next step after configuring the trigger in Data Factory?

• Create a new dataset

• Attach the trigger to a pipeline

• Delete the trigger

• Start the trigger immediately

Why is it important to merge code into the main branch?

• To update the storage account

• To delete unnecessary files

• To create a new trigger

• To ensure the trigger fires