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WithoutBook LIVE Mock Interviews PySpark Related interview subjects: 13

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Know the top PySpark interview questions and answers for freshers and experienced candidates to prepare for job interviews.

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Know the top PySpark interview questions and answers for freshers and experienced candidates to prepare for job interviews.

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Freshers / Beginner level questions & answers

Ques 1

What is PySpark?

PySpark is the Python API for Apache Spark, a fast and general-purpose cluster computing system.

Example:

from pyspark.sql import SparkSession

spark = SparkSession.builder.appName('example').getOrCreate()
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Ques 2

Explain the purpose of the 'groupBy' operation in PySpark.

'groupBy' is used to group the data based on one or more columns. It is often followed by aggregation functions to perform operations on each group.

Example:

grouped_data = df.groupBy('Category').agg({'Price': 'mean'})
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Ques 3

Explain the concept of a SparkSession in PySpark.

SparkSession is the entry point to any PySpark functionality. It is used to create DataFrames, register DataFrames as tables, and execute SQL queries.

Example:

from pyspark.sql import SparkSession

spark = SparkSession.builder.appName('example').getOrCreate()
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Ques 4

Explain the purpose of the 'collect' action in PySpark.

The 'collect' action retrieves all elements of a distributed dataset (RDD or DataFrame) and brings them to the driver program.

Example:

data = df.collect()
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Ques 6

What is the purpose of the 'groupBy' operation in PySpark?

'groupBy' is used to group the data based on one or more columns. It is often followed by aggregation functions to perform operations on each group.

Example:

grouped_data = df.groupBy('Category').agg({'Price': 'mean'})
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Ques 7

How can you create a temporary view from a PySpark DataFrame?

You can use the 'createOrReplaceTempView' method to create a temporary view from a PySpark DataFrame.

Example:

df.createOrReplaceTempView('temp_view')
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