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Big Data Interview Questions and Answers Part -6 | Apache Spark Interview Questions

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Big Data Interview Questions and Answers Part -6 | Apache Spark Interview Questions
Hello and Welcome back to Big Data Interview Questions and Answers Part -6 powered by ACADGILD.
Check below the video links of previous sessions for the perfect continuation,
Apache Spark is the cluster computing framework which tries to take advantage of parallel processing by keeping most intermediate data in the RAM. Let’s check the different aspects of Interview questions in Apache Spark.
Apache Spark Interview Questions:
• What is Apache Spark?
• Why is Spark faster than MapReduce?
• Explain the architecture of Spark
• What is RDD?
• What is the role of coalesce and repartition?
• How to specify the number of partitions while creating RDD?
• What are actions and transformations?
• What is Lazy evaluation?
• Mention some actions and transformations
• What is the role of cache and persist?
• What are accumulators?
• What are broadcast variables?
• What are the optimizations a developer can make while working with spark?
• What is spark SQL?
• What is a DataFrame?
• How to connect to Hive table in Spark SQL?
• What is GraphX?
• What is a PageRank algorithm?
• What is Spark Streming?
• What is Sliding Window?
Watch the entire video, learn and understand the answers for the above big data interview questions related to Spark, and learn how to get a job in Big Data stream.
Subscribe the channel and Stay tuned for Some more compilations of Hadoop Interview questions.
For more updates on courses and tips follow us on:
Hello and Welcome back to Big Data Interview Questions and Answers Part -6 powered by ACADGILD.
Check below the video links of previous sessions for the perfect continuation,
Apache Spark is the cluster computing framework which tries to take advantage of parallel processing by keeping most intermediate data in the RAM. Let’s check the different aspects of Interview questions in Apache Spark.
Apache Spark Interview Questions:
• What is Apache Spark?
• Why is Spark faster than MapReduce?
• Explain the architecture of Spark
• What is RDD?
• What is the role of coalesce and repartition?
• How to specify the number of partitions while creating RDD?
• What are actions and transformations?
• What is Lazy evaluation?
• Mention some actions and transformations
• What is the role of cache and persist?
• What are accumulators?
• What are broadcast variables?
• What are the optimizations a developer can make while working with spark?
• What is spark SQL?
• What is a DataFrame?
• How to connect to Hive table in Spark SQL?
• What is GraphX?
• What is a PageRank algorithm?
• What is Spark Streming?
• What is Sliding Window?
Watch the entire video, learn and understand the answers for the above big data interview questions related to Spark, and learn how to get a job in Big Data stream.
Subscribe the channel and Stay tuned for Some more compilations of Hadoop Interview questions.
For more updates on courses and tips follow us on:
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