Google Professional Machine Learning Engineer
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In the context of managing a data pipeline in a production environment, where updates are periodically deployed to improve functionality or fix bugs, what is the most effective method to implement a rollback when an update leads to significant issues, ensuring minimal downtime and data integrity? Choose the best option.
In the context of managing a data pipeline in a production environment, where updates are periodically deployed to improve functionality or fix bugs, what is the most effective method to implement a rollback when an update leads to significant issues, ensuring minimal downtime and data integrity? Choose the best option.
Real Exam
A
Scaling up the pipeline resources to handle the increased load caused by the faulty update.
4.8%
B
Utilizing version control systems to revert the pipeline's code and configurations to a previous stable version that was functioning correctly before the update.
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