You are designing an Azure Databricks cluster that runs user-defined local processes. You need to recommend a cluster configuration that meets the following requirements: Minimize query latency…

Question

Options

• AStandard with Auto Termination
• BHigh Concurrency with Autoscaling
• CHigh Concurrency with Auto Termination
• DStandard with Autoscaling

• A
  4% (2)
• B
  78% (39)
• C
  12% (6)
• D
  6% (3)

Explanation

A High Concurrency cluster is a managed cloud resource. The key benefits of High Concurrency clusters are that they provide fine-grained sharing for maximum resource utilization and minimum query latencies. Databricks chooses the appropriate number of workers required to run your job. This is referred to as autoscaling. Autoscaling makes it easier to achieve high cluster utilization, because you don’t need to provision the cluster to match a workload. Incorrect Answers: C: The cluster configuration includes an auto terminate setting whose default value depends on Standard and Single Node clusters terminate automatically after 120 minutes by default. High Concurrency clusters do not terminate automatically by default. https://docs.microsoft.com/en-us/azure/databricks/clusters/configure

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