In a mixed Spark workload environment that includes both batch and streaming jobs, what is the best approach to configure dynamic allocation for optimal resource utilization?

Real Exam

Disable dynamic allocation and manually allocate resources for each job type to avoid any potential inefficiencies.

2.9%

Utilize static partitioning exclusively for streaming jobs while applying dynamic allocation solely to batch jobs to minimize resource contention.

5.8%

Create distinct resource pools for batch and streaming jobs, enabling dynamic allocation within each pool and adjusting settings based on the unique demands of each job type.

68.1%

Apply dynamic allocation across the board with highly responsive scaling parameters to quickly adapt to varying workloads.

23.2%

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In a mixed Spark workload environment that includes both batch and streaming jobs, what is the best approach to configure dynamic allocation for optimal resource utilization?