Thanks, for feedback
Reading through your comment, I believe this is what is meant for further clarity.

"To build a machine learning model for detecting fraudulent transactions using PySpark's MLlib, synthetic transaction data can be generated. This provides a safe and ethical dataset for model training without compromising sensitive real-world information. By generating diverse transaction patterns, synthetic data helps create a robust model capable of identifying fraudulent activity"