Top 50 Apache Spark Interview Questions & Answers
(Kindle Edition)

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Introduction: Top 50 Apache Spark Interview Questions & Answers


Apache Spark is a highly popular trend in technology world. There is a growing demand for Data Engineer jobs with Apache Spark knowledge in IT Industry.
This book contains technical interview questions that an interviewer asks for Apache Spark. Each question is accompanied with an answer so that you can prepare for job interview in short time.


We have compiled this list after attending dozens of technical interviews in top-notch companies like- Amazon, Netflix, Uber etc.
Often, these questions and concepts are used in our daily work.
There is a sample answer with each question. But try to answer these questions in your own words.
After going through this book 2-3 times, you will be well prepared to face interview of Apache Spark topic for Data Engineer position.





How will this book help me?


By reading this book, you do not have to spend time searching the Internet for Apache Spark Data Engineer interview questions. We have already compiled the list of most popular and latest Apache Spark Data Engineer Interview questions.


Are there answers in this book?


Yes, in this book each question is followed by an answer. So you can save time in interview preparation.


What is the best way of reading this book?


You have to first do a slow reading of all the questions in this book. Once you go through them in the first pass try to go through the difficult questions. After going through this book 2-3 times, you will be well prepared to face Apache Spark Data Engineer interview in IT.





What is the level of questions in this book?


This book contains questions that are good for Software Engineer, Senior Software Engineer, Principal Engineer and Associate Architect level.



What are the sample questions in this book?



  • How will you minimize data transfer while working with Apache Spark?

  • How does Spark Streaming work internally?

  • What are the main features of Apache Spark?

  • What is a Resilient Distribution Dataset in Apache Spark?

  • What is a Transformation in Apache Spark?

  • What are security options in Apache Spark?

  • What are the two ways to create RDD in Spark?

  • What are the main operations that can be done on a RDD in Apache Spark?

  • What is a Shuffle operation in Spark?

  • What are the operations that can cause a shuffle in Spark?

  • What is purpose of Spark SQL?

  • What is a DataFrame in Spark SQL?

  • What is a Parquet file in Spark?

  • What is the difference between Apache Spark and Apache Hadoop MapReduce?

  • What are the main languages supported by Apache Spark?

  • What is the use of SparkContext in Apache Spark?

  • Do we need HDFS for running Spark application?

  • What is Spark Streaming?

  • What is a Pipeline in Apache Spark?

  • How does Pipeline work in Apache Spark?

  • What is the difference between Transformer and Estimator in Apache Spark?

  • What are the different types of Cluster Managers in Apache Spark?

  • What is the main use of MLib in Apache Spark?

  • What is the Checkpointing in Apache Spark?

  • What is an Accumulator in Apache Spark?

  • What is a Broadcast variable in Apache Spark?

  • What is Structured Streaming in Apache Spark?

  • What is a Property Graph?

  • What is Neighborhood Aggregation in Spark?

  • What are different Persistence levels in Apache Spark?

  • How will you select the storage level in Apache Spark?

  • What are the options in Spark to create a Graph?

  • What are the basic Graph operators in Spark?

  • What is the partitioning approach used in GraphX of Apache Spark?




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AuthorKnowledge Powerhouse
BindingKindle Edition
FormatKindle eBook
LanguageEnglish
Language TypePublished
Number Of Pages47
Product GroupeBooks
Publication Date2017-03-17
Release Date2017-03-17
Sales Rank38536

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