Exam Professional-Data-Engineer Topic 1 Question 134 Discussion
Actual exam question for Google's Professional-Data-Engineer exam
Question #: 134
Topic #: 1
Question #: 134
Topic #: 1
Scaling a Cloud Dataproc cluster typically involves ____.
Suggested Answer: A Vote an answer
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:
1) increase the number of workers to make a job run faster
2) decrease the number of workers to save money
3) increase the number of nodes to expand available Hadoop Distributed Filesystem (HDFS) storage Reference:
https://cloud.google.com/dataproc/docs/concepts/scaling-clusters
Cloud Dataproc clusters are typically scaled to:
1) increase the number of workers to make a job run faster
2) decrease the number of workers to save money
3) increase the number of nodes to expand available Hadoop Distributed Filesystem (HDFS) storage Reference:
https://cloud.google.com/dataproc/docs/concepts/scaling-clusters
by Odelia at Sep 27, 2026, 06:18 PM
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