Best Storage Practices for Minimizing Latency

A.

To minimize latency for customers around the world, the best option is to store the files in a location that is geographically close to the user. Therefore, replicating data in different regions is recommended to reduce latency.

Google Cloud Platform (GCP) offers different types of Cloud Storage buckets, such as Multi-Regional, Regional, and Nearline. Each type of bucket has a different purpose and pricing structure.

The recommended approach by Google to store files to minimize latency for users around the world is to save the files in a Multi-Regional Cloud Storage bucket. This type of bucket is designed for storing frequently accessed data, and it is automatically replicated across multiple regions, providing low latency access to data from any region.

Multi-Regional Cloud Storage bucket is suitable for storing large amounts of data that needs to be accessed frequently, like images, videos, and audio files. It provides the best availability and durability, as it stores the data in multiple geographically separated regions.

Therefore, option A is the correct answer for this question.

Option B, saving files in a Regional Cloud Storage bucket, one bucket per zone of the region, is not recommended because it does not offer the same level of availability and durability as the Multi-Regional bucket. Additionally, this option could increase the complexity of managing multiple buckets.

Option C, saving files in multiple Regional Cloud Storage buckets, one bucket per zone per region, is also not recommended, as it would increase the complexity of managing multiple buckets and not provide the same level of availability and durability as the Multi-Regional bucket.

Option D, saving files in multiple Multi-Regional Cloud Storage buckets, one bucket per multi-region, is not recommended, as it would not provide any additional benefits compared to the single Multi-Regional bucket, and it would increase the complexity of managing multiple buckets.