Question

A wearable startup collecting the health data of its users is adding approximately 50 TBs of data every month. The data is expected to grow to 200+ TB every year.It is observed that the users are primarily concerned with the last 30 days of data and are ready to wait for data retrieval if data is older than 30 Days.The company has decided that they will now store infrequently accessed data that is older than 30 days to minimize the cost, as this data is typically accessed no more than once per quarter.To minimize manual intervention when moving data older than 30 days to Coldline storage from Standard storage, what should the company do?

A) Configure object lifecycle management.
B) Write a code and schedule it using Cloud Scheduler.
C) Configure Cloud Scheduler to move data based on required conditions.
D) Configure an Object Lifecycle Management job using Cloud Scheduler.

Answer 1

The company should configure object lifecycle management to automate the transition of data older than 30 days to Coldline storage, thereby reducing manual intervention and costs.

Step-by-step explanation:

To minimize manual intervention when moving data older than 30 days to Coldline storage from Standard storage, the company should configure object lifecycle management.

This feature allows the company to set policies that will automatically transition their data to colder storage classes when the data reaches a certain age, such as 30 days. This automated approach is more efficient than writing custom code or using Cloud Scheduler to move the data manually. Object lifecycle management policies can handle large amounts of data seamlessly and ensure data older than 30 days is moved to a more cost-effective storage class without any manual effort.