Which of the following is used to rename a column in a PySpark DataFrame?

PySpark - Quiz(MCQ)

rename()

column()

withColumn()

renameColumn()

Correct Answer : rename()

Explanation : rename() is used to rename a column in a PySpark DataFrame. It renames the specified column to a new name. Other DataFrame operations in PySpark include withColumn(), withColumnRenamed(), and drop().

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____ 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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