Azure Data Processing and Pipelines Flashcards

In Azure Data Factory, what is a pipeline?

Answer: A logical grouping of activities that perform a unit of work

An ADF pipeline is a logical grouping of activities—such as copy, transformation, or control flow—that together perform a data integration task.

Which Azure Data Factory integration runtime is used to execute activities within a private virtual network without exposing data to the public internet?

Answer: Managed Virtual Network Integration Runtime

The Managed Virtual Network Integration Runtime runs within a managed VNet, providing secure connectivity to private data sources without public exposure.

What is the purpose of a linked service in Azure Data Factory?

Answer: To store connection information for a data store or compute resource

A linked service in ADF defines the connection string and credentials needed to connect to an external data store or compute target.

In Azure Data Factory, which trigger type executes a pipeline based on a defined schedule (e.g., daily at midnight)?

Answer: Schedule trigger

A schedule trigger fires a pipeline at a fixed wall-clock time or on a recurring schedule such as daily, weekly, or hourly.

Which Azure Data Factory activity is used to copy data from a source dataset to a sink dataset?

Answer: Copy activity

The Copy activity is ADF's primary data ingestion mechanism, transferring data from a supported source to a supported sink.

What does a tumbling window trigger in Azure Data Factory guarantee that a schedule trigger does not?

Answer: Non-overlapping, contiguous time windows with retry on failure

Tumbling window triggers process non-overlapping fixed-size time windows and automatically handle late arrivals and retries for each window.