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Your Cloud Storage data lake has raw, processed, and historical data in different buckets.

Your Cloud Storage data lake has raw, processed, and historical data in different buckets. Data older than two years is rarely accessed, and all data must be retained for no longer than seven years. You are concerned about rising storage costs. How should you control costs for the historical data bucket?

A.

Write a script on a Compute Engine instance, triggered daily by Cloud Scheduler, to scan all objects and delete any older than seven years.

B.

Configure an Object Lifecycle Management rule to transition objects older than two years to the Archive storage class and eventually delete them after seven years.

C.

Enable the Autoclass feature on your Cloud Storage buckets and select Opt-in to object transitions to Coldline and Archive storage classes.

D.

Replicate the buckets to a different region with lower storage costs and an Object Lifecycle Management rule to delete objects after seven years.

Google Professional-Data-Engineer Summary

  • Vendor: Google
  • Product: Professional-Data-Engineer
  • Update on: Jan 30, 2026
  • Questions: 387
Price: $52.5  $149.99
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