You are debugging a failing Spark application and notice that the Cluster UI shows frequent executor losses. What steps would you take to diagnose and resolve this issue?

Simulated

Explanation:

Frequent executor losses can be indicative of insufficient resources being allocated to the cluster. Checking and ensuring that the cluster has adequate resources, such as memory and CPU, can help prevent executor losses and stabilize the application.