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Real questions from top companies
Explain the architecture of Spark, including the roles of driver, executors, DAGs, and SparkContext.
Explain the benefits of auto-scaling policies in EMR.
Explain the benefits of using columnar storage formats like Parquet or ORC.
Explain the concept of RDD, DataFrame, and Dataset in PySpark.
Explain the concept of consumer groups in Kafka. How do they affect message processing?
Explain the concept of preemptible VMs in Dataproc and their cost implications.
Explain the configuration of a Spark cluster for optimal performance
Explain the difference between TriggerDagRunOperator and ExternalTaskSensor in Airflow.
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