Databricks Data Engineer Professional Question 230
Select 3While working on a Databricks cluster, you want to inspect the performance of a job that has already run. You are particularly interested in identifying stages that took the longest time to execute and finding possible bottlenecks. Which of the following steps should you take?
- A
Navigate to the Spark UI for your cluster and review the Stage tab to analyze the execution time for each stage.
- B
Use the Databricks Jobs API to retrieve the execution details and identify stages with the longest duration.
- C
Within the Spark UI, go to the Executors tab to check the memory and CPU usage for each executor.
- D
In the Spark UI, access the SQL tab to analyze query execution plans and identify potential bottlenecks in SQL queries.
- E
Download the event logs for the job and analyze them offline using a log analyzer tool like Spark History Server.
Show answer and explanation
Correct answers: A, D, E
Explanation
To inspect event timelines and metrics for stages and jobs, you can leverage the Spark UI's Stage tab to analyze execution times and the SQL tab to identify query-related issues. Additionally, downloading and analyzing event logs provides an offline method for a deeper analysis of job performance. The Databricks Jobs API and Executors tab, while useful for other purposes, do not offer the detailed stage-specific information required for this task.
- A. Correct.
Correct. The Stage tab in the Spark UI provides a detailed breakdown of each stage's execution time, which is crucial for identifying bottlenecks in stages.
- B. Incorrect.
Incorrect. While the Databricks Jobs API provides useful metadata about job runs, it does not provide detailed timing information for individual stages.
- C. Incorrect.
Incorrect. The Executors tab helps monitor executor-level resource usage but does not provide specific details about stage or job execution times.
- D. Correct.
Correct. The SQL tab in the Spark UI allows you to inspect query execution plans, which can help identify bottlenecks related to SQL query performance.
- E. Correct.
Correct. Downloading event logs and analyzing them using tools like the Spark History Server enables offline inspection of job timings and potential bottlenecks.