Databricks Data Engineer Associate Question 47
Single answerYou are working on a Databricks cluster that is running a streaming job ingesting data from a Kafka source. You notice that the job has stopped processing new records, but there are no errors in the logs. The cluster has been running continuously for several days. Which action could resolve this issue?
- A
Restart the cluster to reset its state and resolve potential memory leaks or resource exhaustion.
- B
Reconfigure the cluster's instance type to a more powerful one and restart the streaming job.
- C
Delete the Kafka source and recreate it with new configurations.
- D
Optimize the streaming job by replacing its transformations with more efficient alternatives.
Show answer and explanation
Correct answer: A
Explanation
Restarting the cluster is a useful action when the issue is related to the cluster's state, such as resource exhaustion or memory leaks, especially in long-running clusters. This scenario describes a cluster that has been running for several days, and the job has stopped processing without errors, indicating a potential state or resource issue that can be resolved by restarting the cluster.
- A. Correct.
Restarting the cluster can help resolve issues like resource exhaustion, memory leaks, or other transient issues that occur in long-running clusters. This is often the simplest troubleshooting step when no errors are reported but the job is not progressing.
- B. Incorrect.
Changing the instance type may improve performance but is not necessary in this scenario because the issue is not related to insufficient compute power but rather to the job not processing records.
- C. Incorrect.
Deleting and recreating the Kafka source is unnecessary and does not address the underlying issue in this scenario. The Kafka source configuration is not indicated as the problem.
- D. Incorrect.
Optimizing transformations could improve job performance but is unrelated to the current issue of the job halting without errors. The issue is more likely related to the cluster's state or resources.