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DP-203 Match services to use cases Practice Question

Match the Azure service to its primary data processing use case. Drag each service on the left to the correct use case on the right.

Services: Azure Databricks, Azure Stream Analytics, Azure Data Factory, Azure Synapse Analytics Use Cases: - Real-time event processing - Orchestration of ETL pipelines - Big data analytics with Spark - Enterprise data warehousing

⚠ Common exam trap

Candidates might confuse Azure Databricks with Azure Synapse Analytics because both can run Spark. However, Databricks is primarily a collaborative Spark environment, while Synapse is a data warehouse with integrated analytics.

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 - Big data analytics with Spark

All four matches are correct. Azure Databricks is used for big data analytics with Apache Spark. Azure Stream Analytics processes real-time event streams. Azure Data Factory orchestrates and automates ETL pipelines. Azure Synapse Analytics serves as an enterprise data warehouse with integrated analytics.

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 - Big data analytics with Spark

    Why this is correct

    Correct pair

  • Azure Stream Analytics - Real-time event processing

    Why this is correct

    Correct pair

  • Azure Data Factory - Orchestration of ETL pipelines

    Why this is correct

    Correct pair

  • Azure Synapse Analytics - Enterprise data warehousing

    Why this is correct

    Correct pair

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