Which of the following statements is true about PySpark? - PySpark Quiz

PySpark - Quiz(MCQ)

Which of the following statements is true about PySpark?

A)

PySpark is a standalone data processing system.

B)

PySpark does not support distributed processing.

C)

PySpark is used for processing data only in small batches.

D)

PySpark is a Python library used for Big Data processing.

Correct Answer : PySpark is a Python library used for Big Data processing.

Explanation : PySpark is a Python library used for Big Data processing. It is built on top of Apache Spark, which is a distributed computing system. PySpark provides APIs in Python for data processing, machine learning, and graph processing.

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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