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Real questions from top companies in Spark/Big Data · hard
Explain how Glue's Spark-based architecture handles data parallelism.
Explain how HDFS (Hadoop Distributed File System) stores data across nodes.
Explain how I handle performance optimizations, scheduling tasks, and monitoring DAGs in Airflow.
Explain how Kafka handles real-time data streaming and guarantees message delivery.
Explain how Spark groups transformations into stages. What causes a stage boundary?
Explain how Spark handles data partitioning and the role of shuffles in performance tuning.
Explain how Spark processes a 500GB file, covering memory allocation, shuffles, and spillovers to disk.
Explain how spark.read.format("delta").load() works
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