Reducing Administrative Effort for Deploying Custom Virtual Machines | Azure Service Recommendation

Microsoft Managed Desktop

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Question

Note: The question is included in a number of questions that depicts the identical set-up. However, every question has a distinctive result. Establish if the solution satisfies the requirements.

Your company's developers intend to deploy a large number of custom virtual machines on a weekly basis. They will also be removing these virtual machines during the same week it was deployed. Sixty percent of the virtual machines have Windows Server 2016 installed, while the other forty percent has Ubuntu Linux installed.

You are required to make sure that the administrative effort, needed for this process, is reduced by employing a suitable Azure service.

Solution: You recommend the use of Microsoft Managed Desktop.

Does the solution meet the goal?

Answers

Explanations

Click on the arrows to vote for the correct answer

A. B.

B

The solution provided, which recommends the use of Microsoft Managed Desktop, does not meet the goal stated in the question.

Microsoft Managed Desktop is a service provided by Microsoft that offers a fully managed Windows 10 experience for organizations. It includes device management, security updates, and support for Windows 10 devices. However, it is not designed specifically for managing virtual machines in Azure.

In the given scenario, the goal is to reduce administrative effort for deploying and removing a large number of custom virtual machines on a weekly basis. Microsoft Managed Desktop is not the appropriate solution for this requirement.

To reduce administrative effort for managing virtual machines in Azure, a more suitable solution would be to use Azure Virtual Machine Scale Sets (VMSS). VMSS allows you to create and manage a group of identical virtual machines, which can automatically scale based on demand. With VMSS, you can define templates for your virtual machines, including the operating system (such as Windows Server 2016 and Ubuntu Linux), and easily deploy or remove instances as needed.

By using VMSS, you can automate the deployment and removal of virtual machines, reducing the manual effort required from administrators. Additionally, VMSS provides built-in scaling and load-balancing capabilities, which can further optimize resource utilization and improve the overall efficiency of managing the virtual machine fleet.

Therefore, the solution of using Microsoft Managed Desktop does not meet the goal of reducing administrative effort for deploying and removing custom virtual machines in Azure. The correct answer is B. No.

The solution provided, which recommends the use of Microsoft Managed Desktop, does not meet the goal of reducing administrative effort for deploying and removing a large number of custom virtual machines on a weekly basis.

Microsoft Managed Desktop is a service offered by Microsoft that provides managed Windows 10 devices. It is designed to simplify device management and maintenance for organizations by offloading certain administrative tasks to Microsoft. However, Microsoft Managed Desktop is not specifically designed for managing virtual machines or automating their deployment and removal processes.

In the given scenario, the company's developers are deploying and removing custom virtual machines on a weekly basis, with a mix of Windows Server 2016 and Ubuntu Linux. To reduce administrative effort, a more suitable Azure service would be Azure Virtual Machine Scale Sets.

Azure Virtual Machine Scale Sets allow you to deploy and manage a set of identical virtual machines as a single entity. This service is specifically designed to automate the creation, scaling, and management of a group of virtual machines. By using scale sets, the company can define the desired number of virtual machines to be deployed, specify the custom images for both Windows Server 2016 and Ubuntu Linux, and automate the scaling and removal processes based on predefined criteria.

With Azure Virtual Machine Scale Sets, the company can benefit from features such as automatic scaling, load balancing, and health monitoring, which can greatly reduce the manual effort required for managing a large number of virtual machines.