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Answer: All-purpose clusters are designed for interactive analysis by multiple users, whereas job clusters are optimized for running specific jobs and are terminated after the job is complete.
The key difference between all-purpose clusters and job clusters is their intended use and lifecycle. All-purpose clusters are tailored for interactive tasks, such as data exploration in notebooks, and support multiple users at the same time. Conversely, job clusters are specifically created for executing particular jobs or batch processes, and they automatically terminate once the job is finished, which helps in optimizing resource utilization and reducing costs.
Author: LeetQuiz Editorial Team
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What distinguishes all-purpose clusters from job clusters in Databricks?
A
Job clusters are permanent and cannot be terminated, unlike all-purpose clusters.
B
All-purpose clusters can only run SQL commands, while job clusters can run commands in multiple languages.
C
All-purpose clusters do not support autoscaling, whereas job clusters do.
D
All-purpose clusters are designed for interactive analysis by multiple users, whereas job clusters are optimized for running specific jobs and are terminated after the job is complete.
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