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Real questions from top companies in Spark/Big Data
What are the different delivery semantics in Kafka (at least-once, at-most-once, exactly-once)?
What are the different modes in which you can submit Spark jobs? Explain each.
What are the key differences between Map and Reduce in Spark?
What are the key performance tuning techniques you apply in Spark jobs to improve performance?
What are the key properties of Delta Lake that differentiate it from traditional data lakes?
What are the limitations of the REORG command with respect to large datasets?
What are the performance considerations when using Auto Loader?
What are the performance trade-offs of using salting to mitigate data skewness?
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