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Design and implement data storagemediumMultiple ChoiceObjective-mapped

DP-203 Design and implement data storage Practice Question

You are designing a data storage solution for a global e-commerce company. The company needs to store clickstream data from millions of users with high write throughput and low-latency reads for real-time analytics. The data is semi-structured and includes nested JSON objects. Which Azure data store should you recommend?

⚠ Common exam trap

Watch out — candidates often choose Azure Table Storage because it is a NoSQL store, but they overlook its lack of native JSON support and sub-10ms latency guarantees, confusing its simple key-value model with the richer document capabilities of Cosmos DB.

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 Cosmos DB

Azure Cosmos DB is the correct choice because it provides a multi-model, globally distributed database service with guaranteed single-digit-millisecond read and write latencies at the 99th percentile, making it ideal for high-throughput clickstream ingestion and real-time analytics. Its native support for semi-structured data and nested JSON objects via the SQL API (or MongoDB API) allows direct storage and querying of complex event payloads without schema flattening. Additionally, Cosmos DB offers automatic indexing and tunable consistency levels to balance performance and data freshness for global e-commerce scenarios.

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 Cosmos DB

    Why this is correct

    Azure Cosmos DB provides high throughput, low-latency, and native JSON support.

  • Azure Table Storage

    Why it's wrong here

    Table Storage is a simple key-value store and does not support nested JSON queries efficiently.

  • Azure SQL Database

    Why it's wrong here

    Azure SQL Database supports JSON but has limited write throughput for high-velocity data.

  • Azure Blob Storage

    Why it's wrong here

    Blob Storage is not optimized for low-latency queries on nested JSON.

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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.