Spark Scala Exercise 24: Error Handling and Logging in SparkBuild Safe, Auditable ETL PipelinesBuild a defensive Spark ETL pipeline to ensure robust data processing.Handle data issues like schema mismatches and corrupt records effectively.Implement custom logging and audit trails for better failure management.