Answer-first summary for fast verification
Answer: When you want to scale out single-job clusters.
A. Incorrect. Since HDFS utilization is not a signal for autoscaling, this would not be a good use case. B. Correct. Single job clusters are well suited for autoscaling because there won't be any overlap with scaling of other jobs. C. Incorrect. On Dataproc, it is recommended that you delete idle clusters instead of scaling down to minimum size because it is quick and cost-efficient. D. Incorrect. Running different size workloads on the same cluster can cause interference. Long-running jobs might interfere with and delay the downscaling of smaller jobs.
Author: LeetQuiz Editorial Team
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A colleague at Cymbal Retail asks you about the configuration of Dataproc autoscaling for a project.
A
When you want to scale on-cluster Hadoop Distributed File System (HDFS).
B
When you want to scale out single-job clusters.
C
When you want to down-scale idle clusters to minimum size.
D
When there are different size workloads on the cluster.
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