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DP-900 Describe core data concepts Practice Question

A global e-commerce platform uses a combination of relational and NoSQL databases. The order management system requires ACID transactions across multiple tables (Orders, OrderItems, Inventory). The product catalog uses a flexible schema to accommodate varying product attributes and is read-heavy. The session store requires low-latency key-value lookups with eventual consistency. Which of the following pairings of data stores best matches these requirements?

⚠ Common exam trap

Candidates often assume NoSQL databases like Cosmos DB can handle ACID transactions across multiple tables, but in reality, Cosmos DB only guarantees atomicity within a single document or stored procedure, not across separate containers or tables.

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

Order management: Azure SQL Database - Product catalog: Azure Cosmos DB (NoSQL API) - Session store: Azure Cache for Redis

Azure SQL Database provides full ACID transaction support across multiple tables, making it ideal for order management. Azure Cosmos DB (NoSQL API) offers a flexible schema and high read throughput for the product catalog. Azure Cache for Redis delivers sub-millisecond key-value lookups with eventual consistency, perfect for session storage.

Answer analysis

Option-by-option breakdown

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

  • Order management: Azure Cosmos DB (NoSQL API) - Product catalog: Azure SQL Database - Session store: Azure Table Storage

    Why it's wrong here

    Cosmos DB (NoSQL API) does not inherently support multi-table ACID transactions across different containers (unless using transactional batch with limitations). Azure SQL Database is not ideal for a read-heavy, flexible-schema product catalog. Azure Table Storage provides key-value storage but with higher latency than a caching solution.

  • Order management: Azure SQL Database - Product catalog: Azure Cosmos DB (NoSQL API) - Session store: Azure Cache for Redis

    Why this is correct

    Azure SQL Database provides strong ACID transactions for orders. Cosmos DB with NoSQL API offers flexible schema and low-latency reads for the product catalog. Azure Cache for Redis delivers sub-millisecond key-value lookups ideal for session state with eventual consistency.

  • Order management: Azure Table Storage - Product catalog: Azure SQL Database - Session store: Azure Cosmos DB (NoSQL API)

    Why it's wrong here

    Azure Table Storage does not support ACID transactions across multiple tables; it is a key-value store with limited consistency. Azure SQL Database is not optimal for a flexible-schema catalog. Cosmos DB can serve as a session store but its latencies are typically higher than a dedicated cache like Redis.

  • Order management: Azure Cosmos DB (Table API) - Product catalog: Azure Cache for Redis - Session store: Azure SQL Database

    Why it's wrong here

    Cosmos DB Table API is a key-value/table store without multi-table ACID transactions. Azure Cache for Redis is an in-memory cache, not a persistent catalog store. Azure SQL Database is too slow and over-provisioned for a simple session key-value store.

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