Analyzing garbage collection logs from the Spark UI in Databricks is the most efficient approach to identify and resolve memory leaks in a Databricks cluster. Garbage collection logs provide detailed insights into memory usage, allocation, and deallocation, allowing you to detect abnormal patterns or trends indicative of a memory leak. This method enables proactive monitoring and data-driven decision-making to optimize cluster performance and stability.