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Question 129 - DP-203 discussion

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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.

Maximize the number of users that can run queries on the cluster at the same time. Reduce overall costs without compromising other requirements. Which cluster type should you recommend?

A.
Standard with Auto Termination
Answers
A.
Standard with Auto Termination
B.
High Concurrency with Autoscaling
Answers
B.
High Concurrency with Autoscaling
C.
High Concurrency with Auto Termination
Answers
C.
High Concurrency with Auto Termination
D.
Standard with Autoscaling
Answers
D.
Standard with Autoscaling
Suggested answer: B

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 cluster mode:

Standard and Single Node clusters terminate automatically after 120 minutes by default. High Concurrency clusters do not terminate automatically by default.

Reference:

https://docs.microsoft.com/en-us/azure/databricks/clusters/configure

asked 02/10/2024
Matt Harrold
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