50 Frequently Asked Apache Spark Interview Questions


Objective

Apache Spark is prevailing because of its capability to handle real-time streaming and processing big data faster than Hadoop MapReduce. As the demand for Spark developers are expected to grow in lightning fast manner, 2017 is the golden time to polish your Apache Spark knowledge and build up your career as a data analytics professional, data scientist or big data developer. This guide will help you to improve your skills that will shape you for Spark developer job roles. This section contains top 50 Apache Spark Interview Questions and Answer. Hope these questions will help you to crack the Spark interview. Happy Job Hunting!

Top 50 Frequently Asked Apache Saprk Interview Questions and Answers for Spark jobs.

Top 50 Apache Spark Interview Questions and Answers

Let’s proceed further with Apache Spark Interview Questions and Answer-

1) What is Apache Spark? What is the reason behind the evolution of this framework?

View Answer >>

2) Explain the features of Apache Spark because of which it is superior to Apache MapReduce?

View Answer >>

3) Why is Apache Spark faster than Apache Hadoop?

View Answer >>

4) List down the languages supported by Apache Spark.

View Answer >>

5) What are the components of Apache Spark Eco-system?

view Answer >>

6) Is it possible to run Apache Spark without Hadoop?

View Answer >>

7) What is RDD in Apache Spark? How are they computed in Spark? what are the various ways in which it can be created?

View Answer >>

8) What are the features of RDD, that makes RDD an important abstraction of Spark?

View Answer >>

9) List out the ways of creating RDD in Apache Spark.

View Answer >>

10) Explain Transformation in RDD. How is lazy evaluation helpful in reducing the complexity of the System?

View Answer >>

11) What are the types of Transformation in Spark RDD Operations?

View Answer >>

12) What is the reason behind Transformation being a lazy operation in Apache Spark RDD? How is it useful?

View Answer >>

13) What is RDD lineage graph? How is it useful in achieving Fault Tolerance?

View Answer >>

14) Explain the various Transformation on Apache Spark RDD like distinct(), union(), intersection(), and subtract().

View Answer >>

15) What is the FlatMap Transformation in Apache Spark RDD?

View Answer >>

16) Explain first() operation in Apache Spark RDD.

View Answer >>

17) Describe join() operation. How is outer join supported?

View Answer >>

18) Describe coalesce() operation. When can you coalesce to a larger number of partitions? Explain.

View Answer >>

19) Explain pipe() operation. How it writes the result to the standard output?

View Answer >>

20) What is the key difference between textFile and wholeTextFile method?

View Answer >>

21) what is Action, how it process data in Apache Spark?

View Answer >>

22) How is Transformation on RDD different from Action?

View Answer >>

23) What are the ways in which one can know that the given operation is Transformation or Action?

View Answer >>

24) Describe Partition and Partitioner in Apache Spark.

View Answer >>

25) How can you manually partition the RDD?

View Answer >>

26) Name the two types of shared variable available in Apache Spark.

View Answer >>

27) What are accumulators in Apache Spark?

View Answer >>

28) Explain SparkContext in Apache Spark.

View Answer >>

29) Discuss the role of Spark driver in Spark application.

View Answer >>

30) What role does worker node play in Apache Spark Cluster? And what is the need to register worker node with the driver program?

View Answer >>

31) Discuss the various running mode of Apache Spark.

View Answer >>

32) Describe the run-time architecture of Spark.

View Answer >>

33) What is the command to start and stop the Spark in an interactive shell?

View Answer >>

34) Describe Spark SQL.

View Answer >>

35) What is SparkSession in Apache Spark? Why is it needed?

View Answer >>

36) Explain API create Or Replace TempView().

View Answer >>

37) What are the various advantages of DataFrame over RDD in Apache Spark?

View Answer >>

38) What is a DataSet? What are its advantages over DataFrame and RDD?

View Answer >>

39) On what all basis can you differentiate RDD, DataFrame, and DataSet?

View Answer >>

40) What is Apache Spark Streaming? How is the processing of streaming data achieved in Apache Spark? Explain.

View Answer >>

41) What is the abstraction of Spark Streaming?

View Answer >>

42) Explain what are the various types of Transformation on DStream?

View Answer >>

43) Explain the level of parallelism in Spark Streaming. Also describe its need.

View Answer >>

44) Discuss writeahead logging in Apache Spark Streaming.

View Answer >>

45) What are the roles of the file system in any framework?

View Answer >>

46) What do you mean by Speculative execution in Apache Spark?

View Answer >>

47) How do you parse data in XML? Which kind of class do you use with java to pass data?

View Answer >>

48) Explain Machine Learning library in Spark.

View Answer >>

49) List various commonly used Machine Learning Algorithm.

View Answer >>

50) Explain the Parquet File format in Apache Spark. When is it the best to choose this?

View Answer >>

Leave a comment

Your email address will not be published. Required fields are marked *