\nBefore going forward on interview question follow this guide to refresh your knowledge of\u00a0Apache Spark<\/a>.<\/strong><\/p>\n
So, let’s start Apache Spark Interview Questions and Answers<\/p>\n
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<\/a>Apache Spark Interview Questions and Answers<\/p><\/div>\n
2. List of Apache Spark Interview Questions and Answers<\/strong><\/p>\n So, below is the list of most asked Apache Spark Interview Questions and Answers – Hence, this was all in Apache Spark Interview Questions and Answers. Hope these questions help you.<\/span><\/p>\n","protected":false},"excerpt":{"rendered":" 1. Best Apache Spark Interview Questions and Answers This Apache Spark Interview Questions and Answers tutorial lists commonly asked and important interview questions &\u00a0answers of Apache Spark which you should prepare. Each question has...<\/p>\n","protected":false},"author":6,"featured_media":938,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[10],"tags":[896,929,1907,1971,3416,6942,8126,13068,13099,13139],"class_list":["post-937","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-spark","tag-apache-spark","tag-apache-spark-interview-questions-and-answers","tag-big-data","tag-big-data-training","tag-data-science","tag-interview-questions","tag-learn","tag-spark-interview","tag-spark-quickstart","tag-spark-training"],"yoast_head":"\n
\n1)\u00a0What is Apache Spark?<\/strong>
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\n2)\u00a0What are the features and characteristics of Apache Spark?<\/strong>
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\n3) What are the languages in which Apache Spark create API?<\/strong>
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\n4) Compare Apache Hadoop and Apache Spark.<\/strong>
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\n5) Can we run Apache Spark without Hadoop?<\/strong>
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\n6)\u00a0What are the benefits of Spark over MapReduce?<\/strong>
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\n7) Why is Apache Spark faster than Hadoop MapReduce?<\/strong>
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\n8) What are the drawbacks of Apache Spark?<\/strong>
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\n9)\u00a0Explain the processing speed difference between Hadoop and Apache Spark.<\/strong>
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\n10)\u00a0Explain various Apache Spark ecosystem components. In which scenarios can we use these components?<\/strong>
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\n11) Explain Spark Core?<\/strong>
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\n12) Define Spark-SQL.<\/strong>
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\n13) How do we represent data in Spark?<\/strong>
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\n14)\u00a0What is Resilient Distributed Dataset (RDD) in Apache Spark? How does it make spark operator rich?<\/strong>
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\n15) What are the major features\/characteristics of RDD (Resilient Distributed Datasets)?<\/strong>
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\n16) How is RDD in Apache Spark different from Distributed Storage Management?<\/strong>
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\n17) Explain the operation transformation and action in Apache Spark RDD.<\/strong>
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\n18)\u00a0How to process data using Transformation operation in Spark?<\/strong>
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\n12)\u00a0Explain briefly what is Action in Apache Spark? How is final result generated using an action?<\/strong>
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\n13) Compare Transformation and Action in Apache Spark.<\/strong>
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\n14) How to identify that the given operation is transformation or action?<\/strong>
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\n15) What are the ways to create RDDs in Apache Spark? Explain.<\/strong>
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\n16) Explain benefits of lazy evaluation in RDD in Apache Spark?<\/strong>
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\n17) Why is transformation lazy operation in Apache Spark RDD? How is it useful?<\/strong>
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\n18)\u00a0What is RDD lineage graph? How does it enable fault-tolerance in Spark?<\/strong>
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\n19) What are the types of transformation in RDD in Apache Spark?<\/strong>
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\n20) What is Map() operation in Apache Spark?<\/strong>
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\n21)\u00a0Explain the flatMap operation on Apache Spark RDD.<\/strong>
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\n22) Describe the distnct(),union(),intersection() and substract() transformation in Apache Spark RDD.<\/strong>
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\n23) Explain join() operation in Apache Spark<\/strong>
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\n24)\u00a0Explain leftOuterJoin() and rightOuterJoin() operation in Apache Spark.<\/strong>
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\n25) Define fold() operation in Apache Spark.<\/strong>
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\n26)\u00a0What are the exact differences between reduce and fold operation in Spark?<\/strong>
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\n27) Explain first() operation in Apache Spark.<\/strong>
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\n28) Explain coalesce operation in Apache Spark.<\/strong>
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\n29) How does pipe operation writes the result to standard output in Apache Spark?<\/strong>
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\n30) List out the<\/strong>\u00a0difference between textFile and wholeTextFile in Apache Spark.<\/strong>
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\n31) Define Partition and Partitioner in Apache Spark.<\/strong>
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\n32)\u00a0How many partitions are created by default in Apache Spark RDD?<\/strong>
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\n33)\u00a0How to split single HDFS block into partitions RDD?<\/strong>
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\n34) Define paired RDD in Apache Spark?<\/strong>
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\n35)\u00a0What are<\/strong>\u00a0the differences between Caching and Persistence method in Apache Spark?<\/strong>
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\n36) Define the run-time architecture of Spark?<\/strong>
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\n37)\u00a0<\/a>What is the use of Spark driver, where it gets executed on the cluster?<\/strong>
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\n38)\u00a0What are the roles and responsibilities of worker nodes in the Apache Spark cluster? Is Worker Node in Spark is same as Slave Node?<\/strong>
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\n39) Define various running modes of Apache Spark.<\/strong>
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\n40)\u00a0What is the Standalone mode in Spark cluster?<\/strong>
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\n41) Write the command to start and stop the Spark in an interactive shell?<\/strong>
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\n42) Define SparkContext in Apache Spark.<\/strong>
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\n43) Define SparkSession in Apache Spark? Why is it needed?<\/strong>
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\n44) In what ways SparkSession different from SparkContext?<\/strong>
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\n45) List out the various advantages of DataFrame over RDD in Apache Spark.<\/strong>
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\n46) Explain API createOrReplaceTempView().<\/strong>
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\n47) What is catalyst query optimizer in Apache Spark?<\/strong>
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\n48) What is a DataSet? What are its advantages over DataFrame and RDD?<\/strong>
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\n49) What are the ways to run Spark over Hadoop?<\/strong>
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\n50) Explain Apache Spark Streaming? How is the processing of streaming data achieved in Apache Spark?<\/strong>
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\n51)\u00a0What is a DStream?<\/strong>
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\n52) Describe different transformations in DStream in Apache Spark Streaming.<\/strong>
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\n53) Explain write ahead log(journaling) in Spark?<\/strong>
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\n54) Define the level of parallelism and its need in Spark Streaming.<\/strong>
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\n55) Define Parquet file format? How to convert data to Parquet format?<\/strong>
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\n56) Define the common faults of the developer while using Apache Spark?<\/strong>
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\n57) What is Speculative Execution in Spark?<\/strong>
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\n58) What are the various types of shared variable in Apache Spark?<\/strong>
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\n59)\u00a0What are Broadcast Variables?<\/strong>
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\n60) Describe Accumulator in detail in Apache Spark.<\/strong>
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\n61) What are the ways in which Apache Spark handles accumulated Metadata?<\/strong>
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\n62) Define the roles of the file system in any framework?<\/strong>
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\n63) How do you parse data in XML? Which kind of class do you use with Java to parse data?<\/strong>
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\n64) List some commonly used Machine Learning Algorithm Apache Spark.<\/strong>
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\n65)\u00a0What is PageRank?<\/strong>
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