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A solutions architect needs to optimize a large data analytics job that runs on an...

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A solutions architect needs to optimize a large data analytics job that runs on an Amazon EMR cluster. The job takes 13 hours to finish. The cluster has multiple core nodes and worker nodes deployed on large, compute-optimized instances.

After reviewing EMR logs, the solutions architect discovers that several nodes are idle for more than 5 hours while the job is running. The solutions architect needs to optimize cluster performance.

Which solution will meet this requirement MOST cost-effectively?

A.

Increase the number of core nodes to ensure there is enough processing power to handle the analytics job without any idle time.

B.

Use the EMR managed scaling feature to automatically resize the cluster based on workload.

C.

Migrate the analytics job to a set of AWS Lambda functions. Configure reserved concurrency for the functions.

D.

Migrate the analytics job core nodes to a memory-optimized instance type to reduce the total job runtime.

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