Which of the following is used to convert an RDD to a DataFrame in PySpark?

PySpark - Quiz(MCQ)

fromRDD()

RDDtoDF()

toDataFrame()

createDataFrame()

Correct Answer : createDataFrame()

Explanation : createDataFrame() is used to convert an RDD to a DataFrame in PySpark. It creates a DataFrame from an RDD with a specified schema. Other DataFrame operations in PySpark include select(), filter(), groupBy(), and join().

Recently Updated in PySpark Questions

____ represents a set of named columns and distributed data.

pyspark.sql.DataFrame

pyspark.sql.Row

pyspark.sql.Column

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 ____.

pyspark.sql.Row

pyspark.sql.Column

pyspark.sql.DataFrame

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.

Tuple

Row

Column

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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