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Which of the following is NOT a recommended strategy for optimizing a Spark structured streaming job that reads from Azure Event Hubs and performs complex event processing?
A
Increasing the trigger interval to reduce processing frequency
B
Utilizing watermarks to handle late-arriving data efficiently
C
Leveraging event hubs' capture feature to preload data
D
Implementing stateful aggregations without considering state cleanup mechanisms
