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PDE Storing the Data Practice Question

A media company stores 50 TB of video metadata in Cloud Storage buckets in the Standard class. Legal requires that records for a subset of titles be retained for exactly seven years and that they cannot be altered or deleted by any user, including project owners, during that period. The company also wants to minimize storage cost for a second bucket holding derived thumbnails that are accessed only a few times per year but must be retrievable within seconds. Which two configurations should the data engineer implement? (Choose two.)

⚠ Common exam trap

Test-takers frequently confuse versioning or lifecycle tiering with true immutability, when only a locked retention policy blocks even project owners from deleting or altering objects.

Answer choices

Why each option matters

Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.

Correct answer & explanation

✓

Create a bucket-level retention policy with a seven-year retention period and lock it.

A locked bucket retention policy delivers the immutability legal demands because it cannot be removed once locked and blocks deletion or overwrite by any principal for the full seven years. For the thumbnails, Nearline matches an access pattern of a few reads per year with second-level retrieval and a lower price than Standard, avoiding the longer minimum-duration and slower-access profile that Coldline or Archive would impose.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

  • ✗

    Enable Object Versioning on the metadata bucket to preserve prior versions of each object.

    Why it's wrong here

    Object Versioning keeps noncurrent versions after an overwrite or delete, but a project owner can still delete every version, so it does not create the unalterable retention legal requires. It also increases storage cost as versions accumulate. Versioning is a recovery mechanism, not a compliance lock, and it can be disabled by an administrator at any time.

  • ✗

    Set an Object Lifecycle Management rule to move the metadata objects to Archive storage after one year.

    Why it's wrong here

    Lifecycle rules change the storage class, not immutability, so they do not prevent deletion or alteration during the seven-year period. Archive also has a 365-day minimum storage duration and retrieval latency of hours, which conflicts with keeping records promptly accessible for legal review. It addresses cost, not the retention guarantee the scenario demands.

  • ✗

    Create the thumbnails bucket in the Coldline storage class and enable Turbo Replication.

    Why it's wrong here

    Coldline is cheaper than Nearline but is intended for data accessed less than once per year and carries a 90-day minimum storage duration; the scenario says a few times per year, which fits Nearline better. Turbo Replication is a dual-region replication feature that raises cost and does not change retrieval latency class, so it works against the stated cost goal.

  • ✓

    Create a bucket-level retention policy with a seven-year retention period and lock it.

    Why this is correct

    A locked bucket retention policy prevents any user, including project owners, from deleting or overwriting objects until the retention period elapses, which is exactly the immutability legal requires. Locking the policy makes it permanent and irreversible, so the seven-year period cannot be shortened, satisfying the WORM-style guarantee for the retained titles while keeping objects readable.

  • ✓

    Create the thumbnails bucket in the Nearline storage class.

    Why this is correct

    Nearline is designed for data accessed less than once per month, offers a lower storage price than Standard, and provides millisecond retrieval latency, which matches thumbnails read a few times per year with a need for immediate access. The 30-day minimum storage duration is easily satisfied because the objects persist long term, so cost drops without sacrificing retrieval speed.

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Written and reviewed by Johnson Ajibi, MSc IT Security

Senior Network & Security Engineer · founder of Courseiva

Last reviewed September 2026 · checked against the official Google Cloud exam blueprint

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