Exam AZ-900 topic 1 question 22 discussion

The correct answer should be Azure DevTest Labs.

Answer correct. It is not Microsoft Managed Desktop. Welcome to Microsoft Managed Desktop Microsoft Managed Desktop brings together Microsoft 365 Enterprise, cloud-based device management by Microsoft, and security monitoring, enabling you to free your IT team to focus on core business needs. Currently, the Microsoft Managed Desktop service is offered only by invitation. Learn more on Microsoft docs or contact your Microsoft account manager. If you’re unfamiliar with Microsoft Managed Desktop, learn more about the service.

Creating VMs usually should be an IaaS, Microsoft Managed Desktop is a SaaS

The correct answer should be Azure DevTest Labs.

Microsoft Managed Desktop is a cloud based device management system that manages Microsoft 365 suite.

The answer is Azure Resource Manager Template

The solution does not meet the goal. Microsoft Managed Desktop is a service designed for managing Windows 10/11 devices, not for deploying and managing virtual machines (VMs) on Azure. It primarily focuses on providing a managed, secure desktop environment for end-user devices rather than handling the dynamic deployment of VMs. For the scenario described, where a large number of custom VMs are deployed and removed on a weekly basis, a more appropriate Azure service would be Azure Virtual Machine Scale Sets or Azure DevTest Labs. These services can automate the deployment and management of VMs, making it easier to scale up and down as needed, thereby reducing administrative effort.

B. No Microsoft Managed Desktop is a service designed for managing and securing Windows 10 devices. It provides services like device management, security updates, and support for Windows desktops but does not handle the creation and management of virtual machines. For managing a large number of virtual machines that are frequently deployed and removed, you would typically use: Azure Virtual Machine Scale Sets: These allow you to manage and scale a set of virtual machines easily, automating deployment and scaling tasks. Azure Automation: This service can automate repetitive tasks, such as creating and deleting virtual machines based on schedules or triggers. Azure Resource Manager (ARM) Templates: Define and deploy virtual machines in a consistent manner using infrastructure-as-code practices. Therefore, recommending Microsoft Managed Desktop does not address the needs for managing and automating virtual machine lifecycle tasks. The correct answer is B. No.

To reduce administrative effort for deploying and removing virtual machines on a large scale, you would typically use Infrastructure as Code (IaC) solutions such as Azure Resource Manager (ARM) templates, Azure PowerShell, Azure CLI, or Azure Automation. These tools allow you to define the desired state of your infrastructure in code, enabling automated deployment, scaling, and management of resources in Azure. Hence the Answer is B

The correct Answer should be Azure Virtual Desktop

gpt4 said Azure DevOps, Azure Resource Manager (ARM), Azure Automation can do that

b

Good guess

The answer is B. No Microsoft Managed Desktop is not an appropriate solution for deploying and managing a large number of custom virtual machines on a weekly basis. Microsoft Managed Desktop is a service that provides managed Windows 10 devices for organizations, and it's not designed for managing virtual machines, especially with the frequency and diversity described in your scenario. For managing virtual machines in Azure, a more suitable solution would be to use Azure Automation or Azure Resource Manager (ARM) templates. These tools allow you to automate the deployment and management of virtual machines, including the creation, configuration, and deletion of resources. You can define your desired state in code, and these tools will handle the provisioning and management tasks, reducing administrative effort. Therefore, the solution of using Microsoft Managed Desktop does not meet the goal of reducing administrative effort for deploying and managing virtual machines in Azure.

B. No The solution does not meet the goal. Microsoft Managed Desktop is not a suitable Azure service for the scenario described. Microsoft Managed Desktop is a service that provides a managed Windows 10 experience for end-users, primarily for physical devices. To reduce administrative effort for deploying and managing a large number of custom virtual machines on a weekly basis, you should consider using Azure DevTest Labs. Azure DevTest Labs allows you to quickly create, deploy, and manage virtual machines in a cost-effective manner. You can create custom virtual machine images with both Windows Server 2016 and Ubuntu Linux pre-installed, which can be used as a base for rapidly provisioning new virtual machines. DevTest Labs also enables you to set policies and quotas to control costs and resources. By using Azure DevTest Labs, developers can self-provision virtual machines from pre-configured images without the need for significant administrative intervention, reducing administrative effort and streamlining the VM deployment process.

Correct answer is Azure DevTest Labs. Azure DevTest Labs is a service for easily creating, using, and managing infrastructure-as-a-service (IaaS) virtual machines (VMs) and platform-as-a-service (PaaS) environments in labs. Labs offer preconfigured bases and artifacts for creating VMs, and Azure Resource Manager (ARM) templates for creating environments like Azure Web Apps or SharePoint farms. Lab owners can create preconfigured VMs that have tools and software lab users need. Lab users can claim preconfigured VMs, or create and configure their own VMs and environments. Lab policies and other methods track and control lab usage and costs. https://learn.microsoft.com/en-us/azure/devtest-labs/devtest-lab-overview

The correct answer should be Azure Virtual machine scale sets. For example, let’s say you have a web application that experiences a spike in traffic during a certain time of day, such as during lunchtime. By using VMSS, you can set up a group of virtual machines to handle the increased traffic during that time, and then scale down the number of instances when the traffic decreases.