How can you optimize a Spark Structured Streaming application for low-latency processing of financial transactions to ensure minimal processing time per micro-batch without compromising stateful accuracy?

Real Exam

Utilize trigger(Trigger.ProcessingTime("1 second")) and fine-tune spark.streaming.blockInterval.

15.3%

Enable spark.streaming.receiver.maxRate and set a high spark.sql.streaming.metricsEnabled value.

15.3%

Implement stateful transformations using mapGroupsWithState with a low trigger interval.

58.8%

Opt for flatMapGroupsWithState with explicit state timeout settings and adjust spark.sql.streaming.schemaInference.

10.6%

Databricks Certified Data Engineer - Professional