Real questions from top companies in Spark/Big Data · hard
GroupByKey vs ReduceByKey – Differences and performance implications?
Handling Skewness in Data - salting, broadcast join
Handling custom data types in Spark
Have you worked with UDFs in Spark? When do you use them, and how do they differ from built-in functions?
Have you worked with data compaction in Delta Lake?
How can Docker be used to scale streaming data applications?
How can Spark help in optimizing ingestion?
How can lifecycle management policies complement ADF for this task?
How did you handle data ingestion and processing for large datasets?
How do Delta Live Tables ensure data quality during transformations?
How do Delta Tables handle large-scale data updates efficiently?
How do Spark transformations differ from actions? Provide examples of each.
How do caching strategies impact memory management in Databricks?
How do you access Delta Logs?
How do you configure autoscaling for a Dataproc cluster?
How do you configure retention periods for Delta tables?
How do you connect to Blob Storage in Databricks?
How do you convert an array column to multiple columns in PySpark?
How do you decide the number of partitions for repartitioning data in Spark?
How do you ensure data quality and consistency across different stages of a data pipeline?
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