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DP-203 Develop data processing Practice Question

Which TWO Azure services can be used to perform data transformation in a data pipeline? (Select two.)

⚠ Common exam trap

Candidates often confuse data ingestion services (like Event Hubs) or storage services (like Azure Storage) with transformation services, forgetting that transformation requires compute engines like Data Factory or Databricks.

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 Data Factory

Azure Data Factory is a cloud-based ETL service that provides a code-free visual interface for orchestrating data movement and transformation at scale. It supports data flows, which allow you to perform transformations like aggregations, joins, and filtering without writing code, making it a correct choice for data transformation in a pipeline.

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 Data Factory

    Why this is correct

    Data Factory offers mapping data flows and compute activities for transformation.

  • Azure Monitor

    Why it's wrong here

    Monitor is for observability, not data transformation.

  • Azure Storage

    Why it's wrong here

    Storage is for storing data, not transforming it.

  • Azure Event Hubs

    Why it's wrong here

    Event Hubs is for data ingestion, not transformation.

  • Azure Databricks

    Why this is correct

    Databricks provides a collaborative environment for data processing and transformation.

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