You use Azure Data Factory to create data pipelines. You are evaluating whether to integrate Data Factory and GitHub for source and version control. What are two advantages of the integration? Each…

The correct answer is C. the ability to save without publishing D. the ability to save pipelines that have validation issues. When you integrate Data Factory and GitHub, you can save your pipelines to a GitHub repository without publishing them to Azure. This allows you to work on your pipelines in a development environment and then publish them to Azure when you are ready. You can also save pipelines…

Submitted by layla.eg· Mar 30, 2026Develop data processing

Question

You use Azure Data Factory to create data pipelines. You are evaluating whether to integrate Data Factory and GitHub for source and version control. What are two advantages of the integration? Each correct answer presents a complete solution. NOTE: Each correct selection is worth one point.

Options

Aadditional triggers
Blower pipeline execution times
Cthe ability to save without publishing
Dthe ability to save pipelines that have validation issues

How the community answered

(52 responses)

A
15% (8)
B
8% (4)
C
77% (40)

Explanation

When you integrate Data Factory and GitHub, you can save your pipelines to a GitHub repository without publishing them to Azure. This allows you to work on your pipelines in a development environment and then publish them to Azure when you are ready. You can also save pipelines that have validation issues. This is because GitHub does not validate your pipelines when you save them. This allows you to work on your pipelines and fix the validation issues before you publish them to Azure.

Topics

#Azure Data Factory#GitHub integration#source control#version control

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