You are monitoring a Spark application and notice that the Spark UI shows a high number of task failures in a specific stage. What could be the potential causes of these task failures, and how would you address them?

Simulated

Explanation:

A high number of task failures could be due to the application running out of memory during execution. Increasing the memory allocation for executors can help mitigate this issue by providing more resources for task execution.