Spark Interview Questions

Last Updated: Nov 10, 2023

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Spark Interview Questions For Freshers

What is the function of Spark Driver?

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What are the benefits of using Spark?

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Explain the concept of RDD (Resilient Distributed Datasets) in Spark.

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What is a transformation in Spark?

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What is an action in Spark?

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How does Spark handle data caching?

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What is lazy evaluation in Spark?

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What is a Spark cluster?

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What is the significance of SparkContext in Spark?

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How can you install Spark on a cluster?

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What is the default storage level for RDD persistency?

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Explain the term 'serialization' in the context of Spark.

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What is a broadcast variable in Spark?

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What is a lineage graph in Spark?

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Name some operations that can be performed on RDDs.

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Explain the concept of a Spark executor.

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What is Spark?

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How does Spark handle task scheduling?

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What is the role of a Spark partition?

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Explain the concept of a shuffle in Spark.

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What is the purpose of Spark MLlib?

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What is the role of Spark SQL in Spark?

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Explain the concept of Spark Streaming.

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How can you monitor Spark applications?

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What is the significance of a worker node in Spark?

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How does dynamic resource allocation work in Spark?

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Spark Intermediate Interview Questions

How does linear regression work in Spark MLLib?

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How does Pregel API work in GraphX?

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What are the different types of graph algorithm supported in GraphX?

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Explain the concept of Property Graph in GraphX.

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What is the purpose of GraphX in Spark?

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How does collaborative filtering work in Spark MLLib?

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Explain the concept of decision tree classifier in Spark MLLib.

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What are the different types of clustering algorithms available in Spark MLLib?

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What is the role of a feature vector in Spark MLLib?

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What are the different types of graph operators in GraphX?

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What is the purpose of Spark MLLib pipeline?

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Explain the concept of windowed word count example in Spark Streaming.

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How does fault tolerance work in Spark Streaming?

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What is the difference between updateStateByKey and mapWithState in Spark Streaming?

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Explain the concept of a sliding window in Spark Streaming.

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What is the benefit of using checkpoints in Spark Streaming?

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How does window operations work in Spark Streaming?

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What is the role of Spark Streaming Context?

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Explain the concept of PageRank algorithm in GraphX.

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What is Spark SQL Catalyst optimizer?

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Explain the concept of DataFrame in Spark.

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What are the advantages of using DataFrames over RDDs?

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How can you create a DataFrame in Spark?

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What is the purpose of SparkSQLContext in Spark?

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Explain the concept of Spark DataSets.

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Spark Interview Questions For Experienced

What is the benefit of checkpointing RDDs in Spark?

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Explain the concept of Spark Streaming receivers.

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How does direct approach work in Spark Streaming?

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What is the role of accumulator in Spark?

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How can you create custom accumulators in Spark?

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Explain the concept of data locality in Spark.

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What is the purpose of a TaskSet in Spark?

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How does speculative execution work in Spark?

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Explain the concept of broadcast join in Spark.

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What is the benefit of bucketing in Spark SQL?

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How does cost-based optimization work in Spark SQL?

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Explain the concept of data replication in Spark.

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What is the role of a shuffle block manager in Spark?

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How does Spark handle driver failures?

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