Top 100 Apache Spark Interview Questions and Answers

1. Spark Interview Questions

As we know Apache Spark is a booming technology nowadays. Hence it is very important to know each and every aspect of Apache Spark as well as Spark Interview Questions. So, this blog will definitely help you regarding the same.  In this blog, we will cover each and every aspect of Spark, which may also be possible frequently asked Spark Interview Questions. Moreover, we will try our best to provide each Question, that from now onwards your search for best and all Spark Interview Questions will end here.

So, let’s explore important Spark Interview Questions.

Spark Interview Questions

Spark Interview Questions

2. Apache Spark Interview Questions Answers

So, here is the Spark Interview Questions list which contains all types of interview Questions asked in Spark interview.

Que 1. What is Apache Spark?
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Que 2. Why Apache Spark?
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Que 3. What are the components of Apache Spark Ecosystem?
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Que 4. What is Spark Core?
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Que 5. Which all languages Apache Spark supports?
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Que 6. How is Apache Spark better than Hadoop?
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Que 7. What are the different methods to run Spark over Apache Hadoop?
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Que 8. What is SparkContext in Apache Spark?
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Que 9. What is SparkSession in Apache Spark?
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Que 10. SparkSession vs SparkContext in Apache Spark.
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Que 11. What are the abstractions of Apache Spark?
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Que 12. How can we create RDD in Apache Spark?
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Que 13. Why is Spark RDD immutable?
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Que 14. Explain the term paired RDD in Apache Spark
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Que 15. How is RDD in Spark different from Distributed Storage Management?
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Que 16. Explain transformation and action in RDD in Apache Spark.
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Que 17. What are the types of Apache Spark transformation?
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Que 18. Explain the RDD properties.
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Que 19. What is lineage graph in Apache Spark?
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Que 20.  Explain the terms  Spark Partitions and Partitioners.
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Que 21. By Default, how many partitions are created in RDD in Apache Spark?
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Que 22. What is Spark DataFrames?
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Que 23. What are benefits of DataFrame in Spark?
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Que 24. What is Spark Dataset?
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Que 25. What are the advantages of datasets in spark?
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Que 26. What is Directed Acyclic Graph in Apache Spark?
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Que 27. What is the need for Spark DAG?
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Que 28.What is the difference between DAG and Lineage?
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Que 29. What is the difference between Caching and Persistence in Apache Spark?
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Que 30. What are the limitations of Apache Spark?
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Que 31. Different Running Modes of Apache Spark
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Que 32. What are the different ways of representing data in Spark?
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Que 33. What is write ahead log(journaling) in Spark?
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Que 34. Explain catalyst query optimizer in Apache Spark.
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Que 35. What are shared variables in Apache Spark?
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Que 36. How does Apache Spark handles accumulated Metadata?
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Que 37. What is Apache Spark Machine learning library?
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Que 38. List commonly used Machine Learning Algorithm.
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Que 39. What is the difference between DSM and RDD?
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Que 40. List the advantage of Parquet file in Apache Spark.
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Que 41. What is lazy evaluation in Spark?
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Que 42. What are the benefits of Spark lazy evaluation?
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Que 43. How much faster is Apache spark than Hadoop?
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Que 44. What are the ways to launch Apache Spark over YARN?
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Que 45. Explain various cluster manager in Apache Spark?
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Que 46. What is Speculative Execution in Apache Spark?
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Que 47. How can data transfer be minimized when working with Apache Spark?
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Que 48. What are the cases where Apache Spark surpasses Hadoop?
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Que 49. What is action, how it process data in apache spark
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Que 50. How is fault tolerance achieved in Apache Spark?
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Que 51. What is the role of Spark Driver in spark applications?
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Que 52. What is worker node in Apache Spark cluster?
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Que 53. Why is Transformation lazy in Spark?
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Que 54. Can I run Apache Spark without Hadoop?
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Que 55. Explain Accumulator in Spark.
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Que 56.  What is the role of Driver program in Spark Application?
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Que 57. How to identify that given operation is Transformation/Action in your program?
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Que 58. Name the two types of shared variable available in Apache Spark.
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Que 59. What are the common faults of the developer while using Apache Spark?
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Que 60. By Default, how many partitions are created in RDD in Apache Spark?
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Que 61. Why we need compression and what are the different compression format supported?
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Que 62. Explain the filter transformation.
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Que 63. How to start and stop spark in interactive shell?
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Que 64. Explain sortByKey() operation.
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Que 65. Explain distnct(),union(),intersection() and substract() transformation in Spark
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Que 66.Explain foreach() operation in apache spark
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Que 67.groupByKey vs reduceByKey in Apache Spark
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Que 68. Explain mapPartitions() and mapPartitionsWithIndex()
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Que 69. What is Map in Apache Spark?
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Que 70. What is FlatMap in Apache Spark?
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Que 71.Explain fold() operation in Spark.
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Que 72. Explain API createOrReplaceTempView()
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Que 73. Explain values() operation in Apache Spark.
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Que 74. Explain keys() operation in Apache spark.
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Que 75. Explain textFile Vs wholeTextFile in Spark
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Que 76. Explain cogroup() operation in Spark
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Que 77. Explain pipe() operation in Apache Spark
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Que 78. Explain Spark coalesce() operation
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Que 79.Explain the repartition() operation in Spark
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Que 80. Explain fullOuterJoin() operation in Apache Spark
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Que 81. Expain Spark leftOuterJoin() and rightOuterJoin() operation
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Que 82. Explain Spark join() operation
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Que 83. Explain the top() and takeOrdered() operation
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Que 84. Explain first() operation in Spark
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Que 85. Explain sum(), max(), min() operation in Apache Spark
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Que 86. Explain countByValue() operation in Apache Spark RDD
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Que 87. Explain the lookup() operation in Spark
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Que 88. Explain Spark countByKey() operation
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Que 89. Explain Spark saveAsTextFile() operation
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Que 90. Explain reduceByKey() Spark operation
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Que 91. Explain the operation reduce() in Spark
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Que 92.Explain the action count() in Spark RDD
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Que 93. Explain Spark map() transformation
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Que 94. Explain the flatMap() transformation in Apache Spark
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Que 95. What are the limitations of Apache Spark?
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Que 96. What is Spark SQL?
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Que 97. Explain Spark SQL caching and uncaching
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Que 98. Explain Spark streaming
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Que 99. What is DStream in Apache Spark Streaming?
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Que 100. Explain different transformations in DStream in Apache Spark Streaming
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Que 101. What is Starvation scenario in spark streaming
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Que 102.Explain the level of parallelism in spark streaming
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Que 103. What are the different input sources for Spark Streaming
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Que 104. Explain Spark Streaming with Socket
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Que 105.  Define the roles of the file system in any framework?
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Que 106. How do you parse data in XML? Which kind of class do you use with Java to parse data?
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Que 107. What is PageRank in Spark?
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Que 108. What are the roles and responsibilities of worker nodes in the Apache Spark cluster? Is Worker Node in Spark is same as Slave Node?
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Que 109. How to split single HDFS block into partitions RDD?
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Que 110. On what all basis can you differentiate RDD, DataFrame, and DataSet?
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So, this was all on Apache spark interview Questions. hope you like the Apache spark interview Questions and Answers explained to it.

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3. Conclusion – Spark Interview Questions

Hence, we have tried to cover, all the possible frequent Apache Spark Interview Questions which may ask in Spark Interview when you search for Spark jobs. However, if you want to add any question in Spark Interview Questions or if you want to ask any Query regarding Spark Interview Questions, feel free to ask in the comment section. Moreover, we assure you that, we will definitely get back to you.

1 Response

  1. pooja says:

    how to stop spark streaming in middle if it is running via a shell script?
    how can u automate spark streaming.
    why immutability is very important in spark, why we need immutability?
    how to deply spark code in production?

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