Certified Associate Developer for Apache Spark Exam

Exam Certified Associate Developer for Apache Spark All QuestionsBrowse all questions from this exam

Go to Exam

Question 64

Which of the following statements about the Spark DataFrame is true?

Spark DataFrames are mutable unless they've been collected to the driver.

A Spark DataFrame is rarely used aside from the import and export of data.

Spark DataFrames cannot be distributed into partitions.

A Spark DataFrame is a tabular data structure that is the most common Structured API in Spark.

A Spark DataFrame is exactly the same as a data frame in Python or R.

Correct Answer: D

A Spark DataFrame is a tabular data structure that is the most common Structured API in Spark. Spark DataFrames are highly optimized for big data processing and can handle large datasets efficiently through various optimizations and partitions. They are a fundamental part of the Spark framework and used extensively in Spark applications.

Discussion

azure_bimonsterOption: D

D seems correct here