Storing and Archiving Data on Google Cloud Platform
Question
You want to select and configure a solution for storing and archiving data on Google Cloud Platform.
You need to support compliance objectives for data from one geographic location.
This data is archived after 30 days and needs to be accessed annually.
What should you do?
Answers
Explanations
Click on the arrows to vote for the correct answer
A. B. C. D.D.
For storing and archiving data on Google Cloud Platform while meeting compliance objectives for data from one geographic location, we have to consider several factors such as the frequency of data access, the duration of data storage, and the cost-effectiveness of the storage solution.
Option A: Select Multi-Regional Storage. Add a bucket lifecycle rule that archives data after 30 days to Coldline Storage.
Multi-Regional Storage provides high availability and low latency data access to users worldwide. However, it is not the best option for archiving data for compliance purposes as it's the most expensive storage class.
Coldline Storage is a low-cost, highly durable, and secure storage class designed for long-term archival and disaster recovery. It provides 99.999999999% object durability, which means that the risk of data loss is minimal. However, it is not suitable for frequently accessed data.
Option B: Select Multi-Regional Storage. Add a bucket lifecycle rule that archives data after 30 days to Nearline Storage.
Multi-Regional Storage and Nearline Storage are both cost-effective and offer low latency data access. However, Nearline Storage is better suited for long-term storage as it offers lower storage costs and retrieval fees than Multi-Regional Storage. Nearline Storage is designed for infrequent data access and is ideal for backup, archiving, and disaster recovery.
Option C: Select Regional Storage. Add a bucket lifecycle rule that archives data after 30 days to Nearline Storage.
Regional Storage provides lower storage costs than Multi-Regional Storage, and it is ideal for storing data in a specific geographic location. It provides low latency data access within the region, making it a suitable option for data that is frequently accessed. However, it is not as cost-effective as Nearline Storage for archiving data.
Option D: Select Regional Storage. Add a bucket lifecycle rule that archives data after 30 days to Coldline Storage.
Regional Storage is an excellent option for storing data within a specific geographic location. However, it is not cost-effective for long-term data storage or archival purposes. Coldline Storage, on the other hand, provides cost-effective and secure long-term storage, making it a suitable option for archiving data.
Conclusion:
Option B seems to be the best option for this scenario as it offers cost-effective and low-latency access for infrequently accessed data, making it ideal for data archiving purposes.
