Which of the following is used to write data to a Parquet file in PySpark? - PySpark Quiz

PySpark - Quiz(MCQ)

Which of the following is used to write data to a Parquet file in PySpark?

A)

write.csv()

B)

write.parquet()

C)

write.json()

D)

write.text()

Correct Answer : write.parquet()

Explanation : write.parquet() is used to write data to a Parquet file in PySpark. Parquet is a columnar storage format that is optimized for query performance. Other file input/output operations in PySpark include write.csv(), write.json(), and write.text().

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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