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What distinguishes all-purpose clusters from job clusters in Databricks?
Explanation:
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.