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…
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)- A3% (2)
- B18% (11)
- C70% (43)
- D8% (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.
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.
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.
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.
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
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