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Design and implement data storagehardMultiple SelectObjective-mapped

DP-203 Design and implement data storage Practice Question

Which TWO strategies can be used to optimize storage costs for historical data in Azure Data Lake Storage Gen2?

⚠ Common exam trap

Watch out — candidates often confuse data protection features (soft delete, encryption, replication) with cost optimization strategies, but only tiering and compression directly reduce the amount or cost of stored data.

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

Implement lifecycle management policies to move data to archive tier

Azure Blob Storage lifecycle management policies allow you to automatically transition data from hot to cool to archive tiers based on age or last modification time. Moving historical data to the archive tier significantly reduces storage costs, as archive is the lowest-cost storage tier, though it incurs higher retrieval latency and costs.

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 soft delete to recover data

    Why it's wrong here

    Soft delete increases storage cost due to retention.

  • Use geo-redundant storage (GRS) for durability

    Why it's wrong here

    GRS increases cost.

  • Implement lifecycle management policies to move data to archive tier

    Why this is correct

    Archive tier is cheapest.

  • Store data in compressed columnar format like Parquet

    Why this is correct

    Reduces storage footprint.

  • Encrypt data with Azure Storage Service Encryption

    Why it's wrong here

    Encryption does not affect cost.

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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