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DATABRICKS-CERTIFIED-DATA-ENGINEER-ASSOCIATE · Question #70

A data engineer has a Job with multiple tasks that runs nightly. Each of the tasks runs slowly because the clusters take a long time to start. Which of the following actions can the data engineer…

The correct answer is D. They can use clusters that are from a cluster pool. Cluster pools (instance pools) maintain a set of idle, pre-warmed VM instances. When a cluster is created from a pool, it draws from these pre-allocated instances instead of provisioning new VMs from scratch, dramatically reducing startup time. All-purpose clusters (option B is…

Submitted by anna_se· Apr 18, 2026Deployment and Operations

Question

A data engineer has a Job with multiple tasks that runs nightly. Each of the tasks runs slowly because the clusters take a long time to start. Which of the following actions can the data engineer perform to improve the start up time for the clusters used for the Job?

Options

  • AThey can use endpoints available in Databricks SQL
  • BThey can use jobs clusters instead of all-purpose clusters
  • CThey can configure the clusters to be single-node
  • DThey can use clusters that are from a cluster pool
  • EThey can configure the clusters to autoscale for larger data sizes

How the community answered

(33 responses)
  • A
    9% (3)
  • B
    15% (5)
  • C
    3% (1)
  • D
    70% (23)
  • E
    3% (1)

Explanation

Cluster pools (instance pools) maintain a set of idle, pre-warmed VM instances. When a cluster is created from a pool, it draws from these pre-allocated instances instead of provisioning new VMs from scratch, dramatically reducing startup time. All-purpose clusters (option B is backwards - jobs clusters are already the leaner option, but they still start from scratch without a pool). Single-node (option C) or autoscaling (option E) configurations affect size, not startup speed. SQL endpoints (option A) are not applicable to Job task clusters.

Topics

#Cluster Pools#Job Optimization#Compute Management#Performance Tuning

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