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Zorluk: ZorPlanning Cloud Storage Buckets and Storage Classes

A financial technology firm is planning a Google Cloud Storage strategy for transaction verification logs to comply with industry regulations. The data lifecycle and access pattern requirements are defined as follows:

- Days 1 to 30: Newly generated logs are queried multiple times per day by real-time automated fraud detection systems.
- Days 31 to 365: Logs are accessed approximately once per month by compliance officers during scheduled financial reconciliation audits.
- Day 366 onwards: Logs are kept strictly for regulatory compliance for an additional 6 years, with an anticipated read frequency of less than once per year.

Which Cloud Storage lifecycle management configuration minimizes total cost of ownership (storage fees plus retrieval charges) while avoiding retrieval penalty costs?

  1. Set the default storage class to Standard. Add a lifecycle rule to transition objects to Nearline storage after 30 days, and a second lifecycle rule to transition objects to Archive storage after 365 days.Cevap
  2. B
    Set the default storage class to Coldline. Add a lifecycle rule to transition objects to Archive storage after 365 days.
  3. C
    Set the default storage class to Standard. Add a lifecycle rule to transition objects to Coldline storage after 30 days, and a second lifecycle rule to transition objects to Archive storage after 365 days.
  4. D
    Set the default storage class to Nearline. Add a lifecycle rule to transition objects to Coldline storage after 30 days, and a second lifecycle rule to transition objects to Archive storage after 365 days.

Cevap

Set the default storage class to Standard, configure a lifecycle rule to transition objects to Nearline storage after 30 days, and configure a second lifecycle rule to transition objects to Archive storage after 365 days.
The correct strategy starts with Standard storage to support intensive daily fraud detection reads without data retrieval fees. At 30 days, transitioning to Nearline storage matches the monthly audit access pattern, as Nearline is optimized for data accessed at most once per month (30-day minimum storage commitment). Finally, moving to Archive storage after 365 days minimizes long-term storage fees for 6-year regulatory compliance where reads occur less than once per year.

Adım Adım Çözüm

1
Analyze the access pattern for Days 1–30
High-frequency daily access by automated fraud models requires Standard Storage, which has zero retrieval fees and no minimum retention duration.
Choosing Nearline, Coldline, or Archive for initial ingest would incur per-GB data retrieval fees every time logs are queried daily.
2
Analyze the access pattern for Days 31–365
Monthly access (once every ~30 days) maps precisely to Nearline Storage, which is designed for data accessed less than once a month and carries a 30-day minimum storage duration.
Transitioning to Coldline (designed for 90-day access cycles) would cause higher per-GB retrieval fee charges during the monthly audits.
3
Analyze the access pattern for Day 366 onwards
Access frequency of less than once per year maps directly to Archive Storage, providing the lowest monthly storage rate for 6-year regulatory compliance retention.
Archive storage offers maximum cost efficiency for long-term cold retention where access is rare.

Anahtar Kavram

Selecting Cloud Storage Classes and Lifecycle Rules based on Access Patterns and Minimum Storage Durations
Tahmini Süre:2m 0s
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Konular

Planning Cloud Storage Buckets and Storage Classes

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