Answer-first summary for fast verification
Answer: Analyzing garbage collection logs from the Spark UI in Databricks
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.
Author: LeetQuiz Editorial Team
Ultimate access to all questions.
Your team suspects a memory leak in a Databricks cluster is leading to performance issues. What is the most effective method to identify and resolve this problem?
A
Utilizing Databricks cluster metrics to monitor memory usage over time
B
Running a memory diagnostic tool within a Databricks notebook against the cluster
C
Analyzing garbage collection logs from the Spark UI in Databricks
D
Reviewing Databricks cluster event logs in Azure Log Analytics for anomalies
No comments yet.