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Answer: You can use multiple compute resources on the same pipeline by defining multiple cluster objects in your definition file and associating the cluster to use for each activity via its runs On field.
You can use multiple compute resources on the same pipeline by defining multiple cluster objects in your definition file and associating the cluster to use for each activity via its `runsOn` field. This approach allows for fine-grained control over the computation tasks in your AWS Data Pipeline. By specifying different compute resources (clusters) and assigning them to various activities within the `runsOn` field, you can optimize performance, manage resource allocation efficiently, and balance the load according to the specific requirements of each activity within your pipeline. This flexibility enhances the overall effectiveness and capability of your data processing workflows.
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How may several computing resources in AWS Data Pipeline be utilized in the same pipeline?
A
You can use multiple compute resources on the same pipeline by defining multiple cluster objects in your definition file and associating the cluster to use for each activity via its runs On field.
B
You can use multiple compute resources on the same pipeline by defining multiple cluster definition files
C
You can use multiple compute resources on the same pipeline by defining multiple clusters for your activity.
D
You cannot use multiple compute resources on the same pipeline.
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