Topic 2 Question 57
Scaling a Cloud Dataproc cluster typically involves ____.
increasing or decreasing the number of worker nodes
increasing or decreasing the number of master nodes
moving memory to run more applications on a single node
deleting applications from unused nodes periodically
解説
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:
- increase the number of workers to make a job run faster
- decrease the number of workers to save money
- increase the number of nodes to expand available Hadoop Distributed Filesystem (HDFS) storage Reference: https://cloud.google.com/dataproc/docs/concepts/scaling-clusters
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コメント(3)
Answer A
👍 7[Removed]2020/03/21Answer: A Description: Worker nodes are scaled to increase or decrease performances
👍 7[Removed]2020/03/28- 正解だと思う選択肢: A
vote A
👍 1Pime132022/08/02
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