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.

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

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.