In the context of a Spark Streaming job that reads from a Kafka source and encounters varying load patterns, what is the most effective method to dynamically manage backpressure to ensure consistent processing rates and prevent system overload? | Databricks Certified Data Engineer - Professional Quiz - LeetQuiz
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In the context of a Spark Streaming job that reads from a Kafka source and encounters varying load patterns, what is the most effective method to dynamically manage backpressure to ensure consistent processing rates and prevent system overload?