You are working on a virtual guest design for the deployment of a critical business application. The software vendor has provided you with detailed application requirements for the projected workloads. Which of the following scaling approaches does this describe?
Answer(s): B
There are two types of scaling approaches in virtual platforms: adaptive and predictive. Both approaches are usable; however, a designer must work out which is the best approach for each project. The adaptive approach to guest virtual machine design is a major advantage that virtualization technology brings to a datacenter. It allows a guest virtual machine to be created initially on a few metrics or high-level requirements (such as a limited budget) and scaled (that is, grown, not shrunk) through the virtual machine life cycle. In many cases, this scaling can be performed hot/live without outage/downtime to the running applications. The predictive approach, on the other hand, requires more planning and research, and you must know the metrics before deployment. The advantage here is that once the virtual machine has been deployed, only application maintenance is required. The application requirements are known.
You are working on a virtual guest design for the deployment of a critical business application. The software vendor has provided you with very few application requirements for projected workloads. Which of the following scaling approaches does this describe?
Answer(s): A
There are two types of scaling approaches in virtual platforms: adaptive and predictive. Both approaches are usable; however, a designer must work out which is the best approach for each project.The adaptive approach to guest virtual machine design is a major advantage that virtualization technology brings to a datacenter. It allows a guest virtual machine to be created initially on a few metrics or high-level requirements (such as a limited budget) and scaled (that is, grown, not shrunk) through the virtual machine life cycle. In many cases, this scaling can be performed hot/live without outage/downtime to the running applications.The predictive approach, on the other hand, requires more planning and research, and you must know the metrics before deployment. The advantage here is that once the virtual machine has been deployed, only application maintenance is required. The application requirements are known.
You are a VMware technical consultant for an application development project. The system consists of a multitier application. The team consists of you, five developers, and a project manager. At the project kickoff meeting, you are tasked with creating the servers for each stage of the development life cycle the team is using:development, testing, staging, and production. During the meeting, you come to the conclusion that the technical specifications have yet to be defined or will likely change. Which of the following scaling approaches for guest workload design would be most appropriate?
You are working on a virtual guest design for the deployment of a critical business application. The software vendor has provided you with some projected workloads. One of the project requirements is to ensure that business application performance is guaranteed. Which of the following would be the best approach for guest configuration?
Allocated resources are shown in the guest operating system and are not guaranteed. The amount depends on the unreserved resources available at the time. Assuming no functionality issues, you can configure a production application to be guaranteed its projected workload, and the system should deliver. Without a reservation, there is potential for a performance impact if there is contention.
The VMware hot add and hot plug functionality is most useful for a(n) scaling approach.
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