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.

Submitted by lucia.co· Mar 30, 2026Building and operationalizing data processing systems

Question

Scaling a Cloud Dataproc cluster typically involves ____.

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.

Aincreasing or decreasing the number of worker nodes

Bincreasing or decreasing the number of master nodes

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

Topics

#Dataproc cluster scaling#worker nodes#cluster management

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