Google Professional Data Engineer Question 261
Select 3Google Cloud PlatformYour team has deployed a data processing pipeline on Google Cloud using Dataflow. Recently, the pipeline started failing with the error: 'Quota exceeded: Your project has exceeded the concurrent Dataflow jobs quota.' As a Data Engineer, what actions should you take to resolve this issue?
- A
Request a quota increase for concurrent Dataflow jobs in the Google Cloud Console.
- B
Check for any stuck or unnecessary Dataflow jobs and terminate them.
- C
Use Stackdriver (Cloud Monitoring) to identify the root cause of resource over-utilization.
- D
Upgrade your Dataflow jobs to use a more powerful machine type for workers.
- E
Review and optimize the pipeline to reduce the number of concurrent jobs required.
Show answer and explanation
Correct answers: A, B, E
Explanation
The error indicates that the project has exceeded the allowed number of concurrent Dataflow jobs, which is a quota limit. To resolve this, you can request a quota increase, terminate unnecessary jobs to free up quota, or optimize your pipeline to reduce the need for multiple concurrent jobs. Monitoring tools or upgrading machine types may help with other issues but are not directly applicable for resolving quota exceedance.
- A. Correct.
Requesting a quota increase is a valid resolution when the current quota is insufficient for your workload. This action directly addresses the quota exceeded error.
- B. Correct.
Terminating stuck or unnecessary jobs can free up quota resources since these jobs may be unnecessarily consuming your concurrent job quota.
- C. Incorrect.
While monitoring tools like Stackdriver can help diagnose performance issues, they do not directly address quota-related errors.
- D. Incorrect.
Upgrading machine types can improve job performance but does not resolve issues related to the number of concurrent jobs exceeding quota limits.
- E. Correct.
Optimizing the pipeline to reduce the number of concurrent jobs can help avoid future quota-related issues by making better use of available resources.