A team of developers at your company plans to deploy, and then remove, 50 virtual machines each week. All the virtual machines are configured by using Azure
Resource Manager templates.
You need to recommend which Azure service will minimize the administrative effort required to deploy and remove the virtual machines.
What should you recommend?
Click on the arrows to vote for the correct answer
A. B. C. D.B
DevTest Labs creates labs consisting of pre-configured bases or Azure Resource Manager templates.
By using DevTest Labs, you can test the latest versions of your applications by doing the following tasks:
-> Quickly provision Windows and Linux environments by using reusable templates and artifacts.
-> Easily integrate your deployment pipeline with DevTest Labs to provision on-demand environments.
-> Scale up your load testing by provisioning multiple test agents and create pre-provisioned environments for training and demos.
https://docs.microsoft.com/en-us/azure/lab-services/devtest-lab-overviewThe correct answer is C. tags.
Azure resources can be tagged with metadata labels to help identify their purpose, owner, or other attributes. Tags can be used to manage and organize resources by assigning labels to them.
By assigning tags to resources, you can easily identify which department or project is responsible for the cost of each resource. This information can be used to track costs, allocate budgets, and optimize spending.
Alerts can be used to notify you when certain conditions are met, such as when a resource exceeds a certain threshold for usage or cost. However, they do not provide information about the department responsible for the cost.
Budgets can be used to set spending limits and receive notifications when the limit is reached or exceeded. However, they do not provide information about the department responsible for the cost.
In summary, to identify which department is responsible for the cost of each resource in an Azure subscription, you should use tags.
Based on the scenario provided, the recommended Azure service to minimize the administrative effort required to deploy and remove the virtual machines is option C: Azure virtual machine scale sets.
Azure virtual machine scale sets are a service in Azure that allows you to deploy and manage a set of identical virtual machines. They provide automatic scaling, high availability, and easy management of virtual machines.
Here's a detailed explanation of why Azure virtual machine scale sets are the appropriate choice:
Automated deployment and scaling: Azure virtual machine scale sets allow you to define a template for your virtual machines using Azure Resource Manager templates, just like the developers in your company are already using. With this template, you can specify the configuration and settings for your virtual machines. By leveraging scale sets, you can easily deploy and manage multiple instances of the same virtual machine configuration.
Easy management: With virtual machine scale sets, you can manage and configure all the instances as a single entity. This means that administrative tasks such as deploying, updating, and monitoring the virtual machines can be performed collectively, reducing the overall administrative effort. You can also define automatic scaling rules based on metrics like CPU usage, allowing the scale set to automatically adjust the number of instances based on demand.
High availability: Virtual machine scale sets provide built-in high availability by distributing the virtual machines across multiple fault domains and update domains. This ensures that your applications remain available even if an underlying hardware or software failure occurs. If a virtual machine becomes unhealthy, the scale set can automatically replace it with a new instance.
Cost optimization: With virtual machine scale sets, you can take advantage of Azure's pricing options, such as Reserved Instances, to optimize costs. By using reserved instances, you can commit to a one- or three-year term and receive significant discounts on the virtual machine usage, which is particularly beneficial if you have a consistent workload.
In contrast, let's discuss why the other options are not the best fit:
Option A: Azure Reserved Virtual Machine (VM) Instances: While Reserved VM Instances provide cost savings by reserving virtual machines for one or three years, they do not specifically address the deployment and removal of virtual machines. They are more suitable for long-term workloads with a stable number of virtual machines.
Option B: Azure DevTest Labs: Azure DevTest Labs is a service that helps developers quickly set