Practice Test 4 | Google Cloud Certified Professional Data Engineer | Dumps | Mock Test
Your company has few spark jobs that are migrated to Cloud DataProc. The spark jobs need more nodes for processing the data so you are exploring the option of Preemptible workers to increase the performance of the jobs. Which of the below statement(s) regarding Preemptible workers is true?
A. In order to save cost, users can run the spark job using only Preemptible workers for non-critical batch jobs.
B. Preemptible workers cannot use the persistent disks.
C. Preemptible workers cannot store data.
D. If a preemptible worker is reclaimed, then a replacement worker must be added manually.
Correct Answer – C
Option A is incorrect. To ensure Cluster does not lose all workers, Cloud Dataproc cannot create preemptible-only clusters. If the user does not specify the number of standard workers while creating a cluster, Cloud Dataproc will automatically add two non-preemptible workers to the cluster,
Option B is incorrect. Preemptible nodes can have persistent disks.
Option C is correct. Since preemptible can be reclaimed at any time, preemptible workers do not store data. Preemptible added to a Cloud Dataproc cluster only function as processing nodes.
Option D is incorrect. Cloud Dataproc handles the addition and removal of preemptible nodes.
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