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NEW QUESTION: 1
You need to recommend a licensing solution for the pilot project.
What should you recommend?
A. Use the Azure SQL Database service.
B. Provision Azure Virtual Machines that include Windows Server. Reuse existing SQL Server licenses.
C. Provision Azure Virtual Machines that include Windows Server and SQL Server.
D. Provision Azure Virtual Machines ("Base Instance"). Reuse existing Windows Server and SQL Server licenses.
Answer: C
Explanation:
Topic 4, Extra Questions Set A

NEW QUESTION: 2
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, create a linked service.
B. From ADFdev, modify the Git configuration.
C. From Azure DevOps, update the main branch.
D. From Azure DevOps, create a release pipeline.
Answer: D
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

NEW QUESTION: 3

A. Option B
B. Option D
C. Option A
D. Option C
Answer: D

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