Azure Data Factory Component

B

The correct answer to the question is B. a trigger.

Azure Data Factory is a cloud-based data integration service that allows you to create, schedule, and orchestrate data workflows at scale. A data pipeline in Azure Data Factory is a logical grouping of activities that together perform a specific task, such as ingesting data from a source system, transforming it, and storing it in a target system.

To initiate the execution of a pipeline, you need to define a trigger. A trigger is a component of Azure Data Factory that defines when and how often a pipeline should be executed. You can create a trigger using different methods, such as the Azure portal, Azure PowerShell, Azure CLI, or the Azure SDKs.

There are different types of triggers you can use in Azure Data Factory, including:

• Schedule trigger: Runs a pipeline on a specified schedule, such as every hour, every day, or on specific days of the week.
• Tumbling window trigger: Runs a pipeline at a specified interval, such as every hour, but only for a defined period, such as 24 hours.
• Event-based trigger: Runs a pipeline when a specified event occurs, such as a file being added to a folder or a message being posted to a queue.

When a trigger fires, it initiates the execution of a pipeline. The pipeline then executes the defined activities in the order specified in the pipeline. An activity is a unit of work in a pipeline that performs a specific task, such as copying data from a source to a destination or transforming data using a mapping. The pipeline can contain one or more activities, which can be executed in parallel or sequentially, depending on the configuration.

In summary, a trigger is the component of Azure Data Factory that initiates the execution of a pipeline by defining when and how often the pipeline should be executed. The pipeline then executes the defined activities in the order specified in the pipeline.