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Free CLOUD-DIGITAL-LEADER Exam Braindumps (page: 47)

Page 46 of 104
PDF with 411 Questions

You are a program manager in a company and handling a project and you need to create a virtual machine on google cloud console that will be very simple to set up, by flipping a bit via command, API, or with developer console that gives you 30 seconds to shut down when you're preempted, allow you to save your work that also helps in the company budget upto 70-80% of less charges than the regular VMs.

  1. Bare Metal Solutions
  2. Preemptible Virtual Machines.
  3. Google Cloud VM Instances
  4. None of the above.

Answer(s): B

Explanation:

Preemptible VMs have all these features
Simple configuration
Create a preemptible instance simply by flipping a bit via command, API, or developer console.
Easy extensibility
Attach GPUs and local SSDs to preemptible instances for additional performance and savings.
Graceful shutdown
Compute Engine gives you 30 seconds to shut down when you're preempted, letting you save your work in progress for later.
Large scale computing

Spin up as many instances as you need and turn them off when you're done. You only pay for what you use.
Quickly reclaim capacity
Managed instance groups automatically recreate your instances when they're preempted (if capacity is available).
Fixed pricing
Preemptible VMs have fixed pricing up to 80% off regular instances. They show up on your bill separately so you'll see just how much you're saving.



In terms of Infrastructure as a Service (IaaS) what are the benefits of it?

  1. IaaS offers virtually infinite flexibility and scalability, enterprises can get their work done more efficiently, ensuring faster development life cycles.
  2. IaaS resources are regularly available to businesses when they need them. As a result, enterprises reduce delays when expanding infrastructure and, alternatively, don't waste resources by overbuilding capacity.
  3. IaaS resources are used on demand and enterprises only have to pay for the compute, storage, and networking resources that are actually used, IaaS costs are fairly predictable and can be easily contained and budgeted for.
  4. All of the Above

Answer(s): D

Explanation:

These are the feature of Infrastructure as a Service (IaaS) It's economical
Because IaaS resources are used on demand and enterprises only have to pay for the compute, storage, and networking resources that are actually used, IaaS costs are fairly predictable and can be easily contained and budgeted for.
It's efficient
IaaS resources are regularly available to businesses when they need them. As a result, enterprises reduce delays when expanding infrastructure and, alternatively, don't waste resources by overbuilding capacity.
It boosts productivity
Because the cloud provider is responsible for setting up and maintaining the underlying physical infrastructure, enterprise IT departments save time and money and can redirect resources to more strategic activities.
It's reliable
IaaS has no single point of failure. Even if any one component of the hardware resources fails, the service will usually still remain available.
It's scalable
One of the biggest advantages of IaaS in cloud computing is the capability to scale the resources up and down rapidly according to the needs of the enterprise.

It drives faster time to market
Because IaaS offers virtually infinite flexibility and scalability, enterprises can get their work done more efficiently, ensuring faster development life cycles.



Your company has made plans to roll out OpenShift, a Kubernetes platform solution offered by IBM Red Hat, across all its on-premises and public cloud environments. Given that you are the lead architect responsible for your company's GCP deployments, what type of shared responsibility model will this deployment entail for you?

  1. SaaS
  2. On premises
  3. PaaS
  4. IaaS

Answer(s): D

Explanation:

The key to remember here is that for a service provided (GCP in this case) to take responsibility for its PaaS, it must offer the service as a managed service. GCP offers its own Kubernetes platform called GKE. But OpenShift is not a Google-offered PaaS solution. As such, Google will not take responsibility for the back-end operations and design of your OpenShift environments. You will need to manage all the VMs that OpenShift will provision as part of its GCP deployment. So this is an IaaS deployment from a shared responsibility model perspective.



A client is currently running software on their on-premise systems that is bound by a certain type of license. They are allowed to run the software on virtualized machines. However, they cannot run them on virtualized machines that are shared by two different companies, teams, or projects.
What option do they have on Google Cloud?

  1. Google Cloud is a public cloud accessed by multiple customers.
  2. Allocate a Bare Metal machine.
  3. Setup exclusive login to the VM with self-generated security keys.
  4. Allocate sole-tenant nodes

Answer(s): D

Explanation:

Sole-tenancy lets you have exclusive access to a sole-tenant node, which is a physical Compute Engine server that is dedicated to hosting only your project's VMs. Use sole-tenant nodes to keep your VMs physically separated from VMs in other projects, or to group your VMs together on the same host hardware.
https://cloud.google.com/compute/docs/nodes/sole-tenant-nodes






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