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Explanation:

The correct answer is C. By specifying a worker region using the --region flag, you ensure that the Dataflow job's worker instances are distributed across multiple zones within the specified region. This distribution reduces the impact of zonal failures on the job's execution.

Option A is incorrect because setting the staging location as a regional Cloud Storage bucket does not directly mitigate zonal failures at job submission time.
Option B is incorrect as creating an Eventarc trigger for resubmission is a reactive measure, not a preventive one.
Option D is incorrect because submitting duplicate pipelines in different zones does not address zonal failures affecting job execution.

Explanation:

Option A is incorrect because setting the staging location as a regional Cloud Storage bucket does not directly mitigate zonal failures at job submission time.
Option B is incorrect as creating an Eventarc trigger for resubmission is a reactive measure, not a preventive one.
Option D is incorrect because submitting duplicate pipelines in different zones does not address zonal failures affecting job execution.

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When designing a Dataflow pipeline for batch processing, how can you mitigate the risk of multiple zonal failures during job submission?

Real Exam

Last updated: March 10, 2026 at 14:03

Set the pipeline staging location as a regional Cloud Storage bucket.

15.2%

Create an Eventarc trigger to resubmit the job in case of zonal failure when submitting the job.

12.1%

Specify a worker region by using the --region flag.

66.7%

Submit duplicate pipelines in two different zones by using the --zone flag.

6.1%