GCP Professional Data Engineer Practice Question

A retail enterprise dumps 5-GB JSON sales files every day into a gs://sales-raw bucket whose default storage class is Standard. Business analysts query only the most recent 14 days. Auditors may request any file up to seven years old, but the business wants to minimise storage cost after the active window. You must implement Object Lifecycle Management so that each object is rewritten exactly once during its lifetime. Which rule set meets the requirement?

Single rule with Age = 14 days that specifies sequential actions: Nearline, then Archive, then Delete.
Rule 1: Age = 14 days → SetStorageClass = Nearline
Rule 2: Age = 90 days → SetStorageClass = Archive
Rule 3: Age = 2555 days → Delete
Rule 1: Age = 14 days → SetStorageClass = Nearline; Rule 2: Age = 2555 days → Delete.
Rule 1: Age = 14 days AND MatchesStorageClass = Standard → SetStorageClass = Nearline
Rule 2: Age = 90 days AND MatchesStorageClass = Nearline → SetStorageClass = Archive
Rule 3: Age = 2555 days → Delete

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Answer Description

The safest way to guarantee that an object is rewritten only once per transition is to combine an Age condition with a MatchesStorageClass filter for every SetStorageClass action.

At day 14 the object is still in Standard, so a rule that requires Age = 14 and MatchesStorageClass = Standard migrates it to the cheaper Nearline class.
At day 90 the object resides in Nearline, so a second rule with Age = 90 and MatchesStorageClass = Nearline moves it to Archive for long-term retention.
A final rule that deletes the object when Age ≥ 2555 days (≈7 years) completes the policy.
Because each SetStorageClass rule can match an object only while it is in the specified source class, the object will never satisfy more than one rewrite rule, ensuring exactly one rewrite per transition while meeting the cost and retention requirements.

Other options either omit the Archive tier, would keep data in a more expensive class for years, or rely on overlapping Age-only rules that can trigger additional, unnecessary rewrites.

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