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Design and implement data storagehardMultiple SelectObjective-mapped

DP-203 Design and implement data storage Practice Question

You are designing a data storage solution for a financial services company. The solution must meet the following requirements: store transaction data for 7 years for regulatory compliance, support point-in-time restore (PITR) for the last 30 days, and minimize storage costs for historical data. Which THREE actions should you take?

⚠ Common exam trap

Many exam-takers confuse Azure Data Lake Storage Gen2 with a cost-effective archival solution, when in fact it is designed for high-throughput analytics and lacks the tiered pricing that Blob Storage offers for long-term retention.

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

Use Azure Blob Storage with cool access tier for data older than 30 days

Azure Blob Storage's cool access tier is designed for infrequently accessed data with lower storage costs, making it ideal for historical transaction data older than 30 days. This tier provides cost-effective storage while still allowing retrieval when needed, aligning with the requirement to minimize storage costs for historical data.

Answer analysis

Option-by-option breakdown

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

  • Store historical data in Azure Data Lake Storage Gen2

    Why it's wrong here

    Data Lake Storage is for analytics, not necessary for simple archival.

  • Use Azure Blob Storage with cool access tier for data older than 30 days

    Why this is correct

    Cool tier is cost-effective for infrequently accessed data.

  • Use Azure SQL Database with automated backups and PITR retention of 30 days

    Why this is correct

    Azure SQL Database provides PITR up to 35 days.

  • Implement a data export process using Azure Data Factory to move data older than 30 days to Blob Storage

    Why this is correct

    Data Factory can automate the export to Blob Storage.

  • Use Azure Table Storage for archival

    Why it's wrong here

    Table Storage is not relational and does not support PITR.

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

This DP-203 practice question is part of Courseiva's free Microsoft certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the DP-203 exam.