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DP-203 Develop data processing Practice Question

You are designing a data processing solution for a real-time dashboard. The source data is streaming from IoT devices at a rate of 10,000 events per second. Each event is under 1 KB. You need to store the raw data in a staging area before processing, and you must minimize storage costs. Which storage solution should you use?

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

Azure Blob Storage is cost-effective for large volumes of streaming data that will be processed later. Azure Data Lake Storage Gen2 is built on Blob Storage but adds hierarchical namespace, which is not required for simple staging. Azure SQL Database and Azure Cosmos DB are more expensive and suited for transactional or real-time query workloads.

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 Data Lake Storage Gen2

    Why it's wrong here

    Data Lake Storage Gen2 adds hierarchical namespace and ACLs, which are not needed for simple staging and may incur slight additional costs.

  • Azure Blob Storage

    Why this is correct

    Blob Storage provides low-cost object storage for large volumes of streaming data, ideal for staging before processing.

  • Azure SQL Database

    Why it's wrong here

    Azure SQL Database is a relational database meant for transactional queries, not cost-effective for high-volume staging.

  • Azure Cosmos DB

    Why it's wrong here

    Cosmos DB is a NoSQL database optimized for low-latency access, but it is more expensive than Blob Storage for bulk staging.

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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Last reviewed: Jun 21, 2026

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