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DP-203 Design and implement data storage Practice Question

A financial services company needs to store transaction data for audit purposes. The data must be immutable and cannot be modified or deleted for 7 years. Which Azure storage feature should be used?

⚠ Common exam trap

Watch out — candidates often confuse soft delete or versioning with immutability, not realizing that only a locked time-based retention policy provides the strict write-once, read-many guarantee required for audit data that cannot be modified or deleted for a fixed duration.

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

Azure Blob Storage immutability policy (time-based retention).

Azure Blob Storage immutability policy with time-based retention ensures that blobs cannot be modified or deleted for a specified retention period (e.g., 7 years). This meets the audit requirement for immutable storage by locking the data at the storage level, preventing any writes or deletes until the retention interval expires. The policy is enforced at the container level and applies to all blobs within, making it the correct choice for regulatory compliance.

Answer analysis

Option-by-option breakdown

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

  • Azure Blob Storage immutability policy (time-based retention).

    Why this is correct

    Immutability policies enforce WORM (Write Once, Read Many) for a specified duration.

  • Azure Blob Storage soft delete.

    Why it's wrong here

    Soft delete only retains deleted blobs for a period; it does not prevent modification.

  • Azure Blob Storage versioning.

    Why it's wrong here

    Versioning retains history but does not prevent deletion of current version.

  • Azure Files share snapshots.

    Why it's wrong here

    Share snapshots provide point-in-time copies but can be deleted.

Quick reference

Azure Blob Storage Tier Comparison

TierStorage CostRetrieval CostLatencyUse Case
HotHighestLowestImmediateActive data, frequent reads
CoolLowerHigherImmediateData accessed < once / month
ColdLower stillHigherImmediateData accessed < once / quarter
ArchiveLowestHighest + rehydration delayHoursLong-term compliance retention

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Written by Johnson Ajibi, MSc IT Security

Senior Network & Security Engineer · founder of Courseiva

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