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DP-203 · Question #378

You have an on-premises database named db1 and a set-hosted integration runtime. You have an Azure subscription that contains an Azure Data Lake Storage account named dl1. You need to develop four…

The correct answer is C. Azure Data Factory. Azure Data Factory is the correct service because it natively supports Power Query wrangling data flows on a self-hosted integration runtime and allows each factory instance to be connected to a separate Git repository, meeting all stated requirements with minimal development…

Submitted by the_admin· Mar 30, 2026Develop data processing

Question

You have an on-premises database named db1 and a set-hosted integration runtime. You have an Azure subscription that contains an Azure Data Lake Storage account named dl1. You need to develop four data pipeline projects that will use Microsoft Power Query to copy data from db1 to dl1. The solution must meet the following requirements:

  • All pipelines must use the self-hosted integration runtime.
  • Each project must be stored in a separate Git repository.
  • Development effort must be minimized.

What should you use?

Options

  • AAzure Synapse Analytics
  • BAzure Logic Apps.
  • CAzure Data Factory
  • DMicrosoft Power BI

How the community answered

(61 responses)
  • A
    3% (2)
  • B
    18% (11)
  • C
    70% (43)
  • D
    8% (5)

Why each option

Azure Data Factory is the correct service because it natively supports Power Query wrangling data flows on a self-hosted integration runtime and allows each factory instance to be connected to a separate Git repository, meeting all stated requirements with minimal development effort.

AAzure Synapse Analytics

Azure Synapse Analytics does not support Power Query wrangling data flows running on a self-hosted integration runtime, so it cannot fulfill that core requirement.

BAzure Logic Apps.

Azure Logic Apps is an integration platform focused on event-driven workflows and does not provide Power Query-based data transformation pipelines or native self-hosted integration runtime support.

CAzure Data FactoryCorrect

Azure Data Factory natively supports Power Query through wrangling data flows and can run those flows on a self-hosted integration runtime, enabling direct connectivity to on-premises sources like db1. Each ADF instance can be linked to its own separate Git repository, satisfying the project isolation requirement. Creating four lightweight ADF instances for four projects is significantly less effort than building equivalent pipelines in alternatives that lack native Power Query IR support.

DMicrosoft Power BI

Microsoft Power BI is a business intelligence and reporting tool, not a data pipeline orchestration service, and cannot build or run data copy pipelines between on-premises databases and Data Lake Storage.

Concept tested: ADF Power Query wrangling data flows with self-hosted integration runtime

Source: https://learn.microsoft.com/en-us/azure/data-factory/wrangling-data-flow-overview

Topics

#Power Query#self-hosted integration runtime#Azure Data Factory#Git integration

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