What tier of Object Storage class should be used where data is accessed only a few times per year?

What tier of Object Storage class should be used where data is accessed only a few times per year?
A . Hot Tier
B. Standard
C. Cold vault
D. Vault

View Answer

Answer: C

Explanation:

Cold Vault (for cold data): Use this option for data accessed only a few times a year. A larger retrieval charge applies for reading data. Common use cases include long-term backup, large data set preservation, or older media content. Cold Vault includes a threshold for object size and storage period with a minimum billable object size of 256 KB and a minimum storage duration of 90 days. Objects smaller than the minimum size will incur a charge for the minimum billable object size. In-Correct Answers: Standard (for active data): Use this level for active data that’s accessed multiple times a month. Your data is immediately available when needed. Common use cases include streaming mobile and web content, DevOps, analytics, collaboration and active content repositories. There are no retrieval charges, no minimum object size and no minimum duration requirement. Vault (for less active data): Use this level for less active data that’s accessed once a month or less. Data is immediately available when needed. A low retrieval charge applies for reading data. Common use cases include backup and digital asset retention. Vault includes a threshold for object size and storage period with a minimum billable object size of 128 KB and a minimum storage duration of 30 days. Hot Tier: Hot tier is built in tier type of Smart tier.With Smart Tier, you no longer have to worry about selecting the right storage class for your workloads. Smart Tier will track your monthly activity and bill you one monthly capacity rate from three built-in pricing tiers: hot, cool, or cold. Smart Tier: Smart Tier employs automatic cost optimization to ensure that you get the lowest storage cost each month. This is valuable for all workloads, especially ones with variable or unpredictable data access patterns and ones that change over time.