Spark Interview Questions and Answers
Below, we have created a list of the most frequently asked Spark Interview Questions and Answers. Reading these can help you gain more knowledge and insights into this computing system. If you are looking for a job change or starting your career in Spark, this list of Spark Interview Questions can help you gain more confidence and eventually a job of your choice, in this field.
Apache Spark is a high-functioning, fast, and general-purpose cluster computing system. It provides high-functioning APIs in various programming languages such as Java, Python, Scala, and its prime purpose is to provide an optimized engine capable of supporting general execution graphs.
| Apache Spark | |
|---|---|
| What is Apache Spark? | It is an open-source general-purpose cluster-computing framework. It gives over 80 high-level operators that make it handy to construct parallel apps and you can use it interactively from the Python, Scala, and SQL shells. |
| Latest Version | 2.4.4 released on 1st September 2019 |
| Created By | Matei Zaharia |
| Written in | Python, Scala, Java, SQL |
| Official Website | https://spark.apache.org |
| Operating System | Linux, Windows, macOS |
| License | Apache License 2.0 |
Most Frequently Asked Spark Interview Questions
Q21. What is spark catalyst?
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Q22. What is the use of accumulators in Spark?
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Q23. What is the difference between Spark and hive?
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Q24. What is Spark checkpointing?
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Q25. What is a sliding interval in Spark?
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Q26. What is explode in spark SQL?
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Q27. What are broadcast variables?
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Q28. What is cluster manager in Spark?
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Q29. What is difference between client and cluster mode in Spark?
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Q30. What is the Spark driver?
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