Databricks Certified Machine Learning - Associate
Get started today
Ultimate access to all questions.
Comments
Loading comments...
Ultimate access to all questions.
Explain how the InternalFrame in Pandas API on Spark affects the memory usage and performance of data processing tasks. Provide a detailed example to illustrate the impact.
A
The InternalFrame in Pandas API on Spark optimizes memory usage and improves performance by leveraging distributed processing.
B
The InternalFrame in Pandas API on Spark increases memory usage and can lead to slower performance due to additional overhead.
C
The InternalFrame in Pandas API on Spark has no impact on memory usage and performance, as it is designed to mimic native Spark DataFrames.
D
The InternalFrame in Pandas API on Spark reduces memory usage and improves performance by eliminating the need for distributed processing.