What should you do first?

You have two Azure Data Factory instances named ADFdev and ADFprod. ADFdev connects to an Azure DevOps Git repository.

You publish changes from the main branch of the Git repository to ADFdev.

You need to deploy the artifacts from ADFdev to ADFprod.

What should you do first?
A . From ADFdev, modify the Git configuration.
B . From ADFdev, create a linked service.
C . From Azure DevOps, create a release pipeline.
D . From Azure DevOps, update the main branch.

Answer: C

Explanation:

In Azure Data Factory, continuous integration and delivery (CI/CD) means moving Data Factory pipelines from one environment (development, test, production) to another.

Note:

The following is a guide for setting up an Azure Pipelines release that automates the deployment of a data factory to multiple environments.

✑ In Azure DevOps, open the project that’s configured with your data factory.

✑ On the left side of the page, select Pipelines, and then select Releases.

✑ Select New pipeline, or, if you have existing pipelines, select New and then New release pipeline.

✑ In the Stage name box, enter the name of your environment.

✑ Select Add artifact, and then select the git repository configured with your development data factory. Select the publish branch of the repository for the

Default branch. By default, this publish branch is adf_publish.

✑ Select the Empty job template.

Reference: https://docs.microsoft.com/en-us/azure/data-factory/continuous-integration-deployment

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