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DP-203 Design and implement data storage Practice Question

Which TWO Azure services can be used to implement a data lakehouse architecture with Delta Lake?

⚠ Common exam trap

Test-takers frequently assume Azure Data Factory can implement a data lakehouse because it can copy data to ADLS, but they miss that a data lakehouse requires a compute engine (like Spark or serverless SQL) and a transactional storage layer (Delta Lake), not just data movement.

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 Databricks

Azure Databricks is correct because it provides a unified analytics platform with native Delta Lake support, enabling ACID transactions, schema enforcement, and time travel on data lakes. Delta Lake is an open-source storage layer that brings reliability to data lakes, and Azure Databricks is the primary service for running Delta Lake workloads at scale.

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 Databricks

    Why this is correct

    Databricks is the primary platform for Delta Lake.

  • Azure Data Factory

    Why it's wrong here

    ADF can copy data to/from Delta Lake but does not implement lakehouse natively.

  • Azure Cosmos DB

    Why it's wrong here

    Cosmos DB is a NoSQL database, not a data lake.

  • Azure Synapse Analytics serverless SQL pool

    Why this is correct

    Serverless SQL pool supports querying Delta Lake tables via OPENROWSET.

  • Azure SQL Database

    Why it's wrong here

    Azure SQL Database does not support Delta Lake format.

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Written by Johnson Ajibi, MSc IT Security

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