Answer-first summary for fast verification
Answer: Use the Databricks cluster pools feature to reduce the startup time
Cluster pools allow us to reserve VMs ahead of time. When a new job cluster is created, VMs are grabbed from the pool, significantly reducing startup time. Note: While the VMs are waiting to be used by the cluster, the only cost incurred is for the Azure VMs. Databricks runtime cost is only billed once a VM is allocated to a cluster. For a demonstration on how to set up cluster pools and follow best practices, check out this [Databricks Academy video](https://www.youtube.com/watch?v=FVtITxOabxg&ab_channel=DatabricksAcademy).
Author: LeetQuiz Editorial Team
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You've scheduled a notebook to generate a summary dataset for reporting using a job cluster, but noticed it takes an average of 8 minutes for the cluster to start. Which feature can help reduce this startup time?
A
Pin the cluster in the cluster UI page so it is always available to the jobs
B
Use Databricks Premium edition instead of Databricks standard edition
C
Setup an additional job to run ahead of the actual job so the cluster is running when the second job starts
D
Use the Databricks cluster pools feature to reduce the startup time
E
Disable auto termination so the cluster is always running
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