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Answer: Update the pipeline using the --update option and set the --jobName to the existing job name.
The correct answer is **C**. Updating the pipeline using the `--update` option and setting the `--jobName` to the existing job name allows for a seamless transition to the new pipeline version. This method ensures that the Dataflow service performs a compatibility check to apply the update without disrupting ongoing data processing, thus preventing data loss. Options A and D involve stopping the pipeline, which can lead to downtime or data loss. Option B creates a new job instead of updating the existing one, which may result in data duplication or loss.
Author: LeetQuiz Editorial Team
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What is the recommended method to update a running Cloud Dataflow pipeline to a new version without losing any data?
A
Stop the pipeline with the Drain option and create a new job with the updated code.
B
Update the pipeline using the --update option and set the --jobName to a new unique job name.
C
Update the pipeline using the --update option and set the --jobName to the existing job name.
D
Stop the pipeline with the Cancel option and create a new job with the updated code.
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