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You have a Fabric workspace that contains 10 data pipelines named Pipeline1 through Pipeline10.

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You have a Fabric workspace that contains 10 data pipelines named Pipeline1 through Pipeline10. The data pipelines load, transform, and publish data to a lakehouse named Lakehouse1.

Each data pipeline takes 30 minutes to run. The data pipelines must run in numerical sequence based on their names. The end-to-end process must start every eight hours.

You need to configure orchestration to ensure that all the data pipelines run in the correct order. The solution must minimize the number of schedules and administrative effort.

What should you do?

A.

Schedule Pipeline1 to run every eight hours and configure trigger dependencies so that each subsequent data pipeline starts when the previous data pipeline completes successfully.

B.

Create a master data pipeline that runs every eight hours and uses an Invoke pipeline activity to call the other data pipelines sequentially.

C.

Add an event-based trigger to each data pipeline so that the data pipeline starts when a new dataset is written to Lakehouse1.

D.

Configure a time-based schedule to run each data pipeline independently every eight hours.

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