Which of the following is used to create an RDD in PySpark? - PySpark Quiz

PySpark - Quiz(MCQ)

Which of the following is used to create an RDD in PySpark?

A)

DataSet

B)

DataFrame

C)

SparkContext

D)

SQLContext

Correct Answer : SparkContext

Explanation : SparkContext is used to create an RDD in PySpark. It is the entry point to the Spark computing system and provides APIs to create RDDs, accumulates values, and manipulate data. Other Spark components in PySpark include SQLContext, SparkSession, and DataFrameReader.

Recently Updated in PySpark Questions

____ represents a set of named columns and distributed data.

A)

pyspark.sql.DataFrame

B)

pyspark.sql.Row

C)

pyspark.sql.Column

D)

pyspark.sql.GroupedData

Correct Answer : pyspark.sql.DataFrame

Explanation : pyspark.SQL.DataFrame represents a set of named columns and distributed data.

DataFrame and SQL functionality is accessed through ____.

A)

pyspark.sql.Row

B)

pyspark.sql.Column

C)

pyspark.sql.DataFrame

D)

pyspark.sql.SparkSession

Correct Answer : pyspark.sql.SparkSession

Explanation : DataFrame and SQL functionality are accessed through pyspark.sql.SparkSession.

A UDF extends Spark SQL's DSL vocabulary for transforming DataFrames by defining a new ____-based function.

A)

Tuple

B)

Row

C)

Column

D)

None of the above

Correct Answer : Column

Explaination : A UDF extends Spark SQL's DSL vocabulary for transforming DataFrames by defining a new column-based function.

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