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Design and implement data storageeasyMultiple ChoiceObjective-mapped

DP-203 Design and implement data storage Practice Question

A healthcare organization needs to store electronic health records (EHR) in a format that supports schema flexibility and complex nested data. The solution must allow fast queries by patient ID and enable analytics with Azure Synapse. Which data store should you choose?

⚠ Common exam trap

Watch out — candidates often choose Azure SQL Database with JSON columns (Option D) because they assume relational databases can handle JSON, but they overlook the requirement for schema flexibility and native analytical store integration, which Cosmos DB with analytical store uniquely provides for hybrid transactional/analytical processing (HTAP) workloads.

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 with analytical store enabled

Azure Cosmos DB with analytical store enabled is the correct choice because it provides schema flexibility for complex nested EHR data, supports fast point reads by patient ID via its indexed partition key, and the analytical store enables efficient analytics with Azure Synapse through the Synapse Link feature, which automatically synchronizes operational data into a columnar format optimized for large-scale queries.

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 Table Storage

    Why it's wrong here

    Table Storage is a key-value store with limited query capabilities.

  • Azure Data Lake Storage Gen2 with files in JSON format

    Why it's wrong here

    File-level storage requires compute to parse JSON, increasing latency.

  • Azure Cosmos DB with analytical store enabled

    Why this is correct

    Cosmos DB provides schema flexibility, nested data support, and Synapse integration for analytics.

  • Azure SQL Database with JSON columns

    Why it's wrong here

    JSON columns are possible but not as flexible as a native document database.

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