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A team of data engineers has developed a Databricks Job in production with multiple tasks. Their goal is to minimize costs related to compute resources and optimize the execution time for each task. What is the best strategy to achieve these objectives?
A
Utilize a single all-purpose cluster for all tasks in the job
B
Employ a new all-purpose cluster for each task in the job
C
Opt for a shared job cluster for all tasks in the job
D
Use a new job cluster for each task in the job
E
Combine a few all-purpose clusters and a few job clusters for different tasks in the job