How is data durability achieved in Google Cloud Storage?

Study for the Google Cloud Certified Associate Cloud Engineer exam with comprehensive quizzes and practice tests. Each question includes hints and detailed explanations to enhance your preparation and ensure success.

Data durability in Google Cloud Storage is achieved through the automatic storage of multiple copies of data across different locations. This strategy ensures that if one copy of the data becomes unavailable due to hardware failure, natural disasters, or other issues, there are additional replicas stored in separate physical locations that can be accessed. Google Cloud Storage leverages redundancy methods such as regional and multi-regional storage classes, which replicate data across multiple geographical locations or zones, thus significantly enhancing the likelihood of data being intact and accessible, even in the event of localized failures. This level of redundancy is crucial for users who require high availability and reliability for their data.

Options that involve storing data in single locations, backing up data weekly, or merely encrypting data do not contribute to the same level of durability. Storing data in single locations increases risk, as it exposes the data to a single point of failure. Weekly backups do not provide ongoing data safety or redundancy, as anything that happens before the next backup could lead to data loss. While encryption is important for data security and privacy, it does not inherently protect against data loss or ensure durability.

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