BenchMark Quizzes by MDFT Pro

Azure Data Factory Pipeline Activities

MDFT Pro, a well-known training agency, has recently migrated their student data processing workflows to Azure. The academy uses Azure Data Factory to orchestrate various data integration tasks across their learning management system.

Mark, the lead data engineer at MDFT Pro, is explaining to Claire, a new team member, how Azure Data Factory pipelines work. Claire wants to understand whether a single pipeline can contain multiple activities or if each activity requires its own separate pipeline.

Can a single Azure Data Factory pipeline contain multiple activities?

Choose the correct answer from the options below.

Explanations for each answer:

Yes, a single pipeline can contain multiple activities that work together is correct. This is correct. Azure Data Factory pipelines are designed to orchestrate multiple activities within a single pipeline, allowing for complex data processing workflows with dependencies, parallel execution, and sequential processing.
No, each activity must be in its own separate pipeline is incorrect. This is incorrect. Azure Data Factory pipelines are designed to contain multiple activities that work together to accomplish complex data processing tasks.
Only certain types of activities can be combined in one pipeline is incorrect. This is incorrect. All types of activities in Azure Data Factory can be combined within a single pipeline, including data movement, data transformation, and control flow activities.
Pipelines can only contain activities of the same category is incorrect. This is incorrect. Azure Data Factory pipelines can contain activities from different categories, such as mixing data movement activities with transformation activities and control flow activities.

Learn More About Azure Data Factory Pipelines And Activities:

Azure Data Factory Pipelines

Exam Preparation Quiz

Azure Data Factory Pipeline Activities