PROFESSIONAL-DATA-ENGINEER · Question #110
Scaling a Cloud Dataproc cluster typically involves ____.
Dataproc cluster scaling is accomplished by adjusting the number of worker nodes, which controls processing parallelism without touching the master node.
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Options
- Aincreasing or decreasing the number of worker nodes
- Bincreasing or decreasing the number of master nodes
Why each option
Dataproc cluster scaling is accomplished by adjusting the number of worker nodes, which controls processing parallelism without touching the master node.
Master nodes serve as the cluster controller (HDFS NameNode, YARN ResourceManager) and are not scaled to adjust processing capacity; modifying master node count is not a supported scaling pattern and would disrupt cluster coordination.
Concept tested: Cloud Dataproc cluster scaling mechanics
Source: https://cloud.google.com/dataproc/docs/concepts/configuring-clusters/scaling-cluster
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