Databricks Data Engineer Professional Question 232
Select 3You are a data engineer troubleshooting an ETL job running on a Databricks cluster. The job is taking longer than expected, and you want to inspect the event timelines and metrics for its stages and tasks to identify bottlenecks. Which of the following steps should you take to effectively analyze the job's performance?
- A
Access the Spark UI through the Databricks cluster application and navigate to the 'Jobs' tab to review job-level metrics.
- B
Inspect the 'Stages' tab in the Spark UI to analyze the execution time and shuffling metrics of individual stages.
- C
Use the 'Tasks' tab in the Spark UI to drill down into task-level metrics, such as task duration and input/output data sizes.
- D
Enable the Ganglia or Prometheus monitoring tool to directly view Spark job metrics in Databricks.
- E
Use the Databricks SQL Dashboard to query the cluster’s execution logs for job performance details.
Show answer and explanation
Correct answers: A, B, C
Explanation
To effectively inspect event timelines and metrics for Spark jobs, the Spark UI within Databricks provides the most relevant and detailed insights. Specifically, the 'Jobs', 'Stages', and 'Tasks' tabs are designed to help identify performance issues, bottlenecks, and inefficiencies. Other tools like Ganglia or SQL Dashboards are not appropriate for this purpose in Databricks.
- A. Correct.
Correct: The 'Jobs' tab in the Spark UI provides high-level metrics about job execution, including the number of stages, duration, and status, which are crucial for performance analysis.
- B. Correct.
Correct: The 'Stages' tab in the Spark UI allows you to analyze the performance of individual stages, including shuffling and data movement, which are common bottlenecks.
- C. Correct.
Correct: The 'Tasks' tab in the Spark UI gives detailed task metrics, such as duration and resource usage, helping you identify slow or failed tasks.
- D. Incorrect.
Incorrect: Ganglia and Prometheus are not integrated with the Databricks platform for Spark job performance monitoring. The Spark UI is the appropriate tool for this purpose.
- E. Incorrect.
Incorrect: The Databricks SQL Dashboard is used for querying structured data in tables but is not suitable for inspecting Spark job execution metrics.