In a Foundry pipeline, what is the role of orchestration?

• A. Orchestration handles deriving new datasets.
• B. Orchestration is responsible for data visualization.
• C. Orchestration (scheduling and execution) manages when and how pipeline steps run.
• D. Orchestration stores data persistently.

Answer: (C)

Orchestration in a Foundry pipeline is about when and how the pipeline’s steps run. It coordinates the execution flow: scheduling runs, ordering steps based on dependencies, triggering each step at the right time, and handling execution details like retries, parallel execution, and error handling. This layer ensures the pipeline progresses smoothly from start to finish according to a defined plan, rather than performing the data transformations themselves or managing how data is stored.

So the best description is that orchestration manages scheduling and execution of pipeline steps, determining when each step runs and how the overall pipeline proceeds. The other activities—deriving new datasets, visualizing results, or storing data persistently—are handled by other parts of the Foundry workflow (data processing, visualization tools, and storage mechanisms), not by orchestration.