Describe a scenario where you would choose to use Pandas API on Spark over native Spark DataFrames. Provide a detailed example and explain the reasoning behind your choice.

Simulated

When dealing with small datasets where performance is not a critical factor, and the ease of use of Pandas syntax is preferred.

23.8%

When dealing with large datasets where performance is critical, and the distributed processing capabilities of Spark are required.

13.9%

When migrating an existing Pandas codebase to Spark without significant refactoring, leveraging the familiar Pandas API syntax.

53.5%

When performing complex machine learning tasks that require the advanced features of native Spark DataFrames.

8.9%

Databricks Certified Machine Learning - Associate