Explanation:
After creating a Cloud Dataproc cluster, you can scale the cluster by increasing or decreasing the number of worker nodes in the cluster at any time, even when jobs are running on the cluster. Cloud Dataproc clusters are typically scaled to:
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NO.34 Scaling a Cloud Dataproc cluster typically involves _____.
A
increasing or decreasing the number of worker nodes
B
increasing or decreasing the number of master nodes
C
moving memory to run more applications on a single node
D
deleting applications from unused nodes periodically