AWS Certified Solutions Architect - Professional

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How can multiple compute resources be used on the same pipeline in AWS Data Pipeline?

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Explanation:

Explanation for Answer A: In AWS Data Pipeline, you can utilize multiple compute resources within the same pipeline by defining multiple cluster objects in your pipeline definition file. Each cluster object represents a different compute resource or environment. To use these resources, you must specify which cluster should be used for each activity within the pipeline. This is done by setting the 'runsOn' field for each activity to the desired cluster object. This approach allows for the efficient distribution of tasks across various compute resources, optimizing performance and resource utilization.
The other options are incorrect for the following reasons:

Option B suggests defining multiple cluster definition files, which is not necessary as all cluster objects can be defined within a single pipeline definition file.
Option C implies defining multiple clusters for an activity, which is not how AWS Data Pipeline operates; instead, you define multiple cluster objects and specify which cluster to use for each activity.
Option D is incorrect because AWS Data Pipeline does indeed support the use of multiple compute resources within the same pipeline, as explained in option A.