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Google Cloud Digital Leader Practice Test - Questions Answers, Page 19
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Question 181
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.
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.
Question 182
In terms of Infrastructure as a Service (IaaS) what are the benefits of it?
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.
Question 183
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?
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.
Question 184
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?
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
Question 185
Which of the following is / are true for Preemptible Instances.
Explanation:
Preemptible instances function like normal instances but have the following limitations:
-> Compute Engine might stop preemptible instances at any time due to system events. The probability that Compute Engine will stop a preemptible instance for a system event is generally low, but might vary from day to day and from zone to zone depending on current conditions.
-> Compute Engine always stops preemptible instances after they run for 24 hours. Certain actions reset this 24-hour counter.
-> Preemptible instances are finite Compute Engine resources, so they might not always be available.
-> Preemptible instances can't live migrate to a regular VM instance, or be set to automatically restart when there is a maintenance event.
-> Due to the above limitations, preemptible instances are not covered by any Service Level Agreement (and, for clarity, are excluded from the Compute Engine SLA).
-> The Google Cloud Free Tier credits for Compute Engine do not apply to preemptible instances.
Question 186
If you increase the size of a subnet in a custom VPC network, the IP addresses of virtual machines already on that subnet might be affected. Which options are Correct.
Explanation:
You can dynamically increase the size of a subnet in a custom network by expanding the range of IP addresses allocated to it. Doing that doesn't affect already configured VMs.
Question 187
Which of the following statements is / are correct about Machine Learning?
Explanation:
Customer service
Machine learning examples include chatbots and automated virtual assistants to automate routine customer service tasks and speed up issue resolution.
Question 188
You are a cloud architect in a software solution provider company, one of the client that is a Na-tional Bank who wants to build an application that deals with transactions processing, and it needs a relational database with petabyte of scale dat a. Which of the following Google Cloud Services will you use?
Explanation:
- Cloud Spanner is the online transaction processing solution that is relational and offers petabyte scalability. Cloud SQL is not designed for petabyte-scale data.
Question 189
Your customer has a reporting tool that is only occasionally used by the leadership team. Usage of it is frequent - once a week, once a month, or once the quarter. They want to run this application in a cost-effective manner. What are the compute options available on Google Cloud which would be suitable? (Choose Two answer)
Explanation:
Since the use of the tool is infrequent/intermittent, you can choose to compute options that are serverless. Both Cloud Run and Cloud App Engine Standard are serverless options that can shut down to zero. Since cost-effectiveness is a requirement, this will not cost anything during the periods it is not used.
Question 190
You are working in a company where you need to store Terabytes of Image Data daily and process them e.g. Taking photos of the entire planet 24 hours every day with satellite and sending data to data centres to store and process it.
Which of the following would be the best combination for your infrastructure.
You are working in a company where you need to store Terabytes of Image Data daily and process them e.g. Taking photos of the entire planet 24 hours every day with satellite and sending data to data centres to store and process it.
Which of the following would be the best combination for your infrastructure.
Explanation:
The above is a real world example of a company named Planet, where they sent around 80+ satellites to take pictures of earth every day, 24 hours. They run around 40,000 preemptible VMs concurrently.
Preemptible instances function like normal instances but have the following limitations:
Compute Engine might stop preemptible instances at any time due to system events. The probability that Compute Engine will stop a preemptible instance for a system event is generally low, but might vary from day to day and from zone to zone depending on current conditions.
Compute Engine always stops preemptible instances after they run for 24 hours. Certain actions reset this 24-hour counter.
Preemptible instances are finite Compute Engine resources, so they might not always be available.
Preemptible instances can't live migrate to a regular VM instance, or be set to automatically restart when there is a maintenance event.
Due to the above limitations, preemptible instances are not covered by any Service Level Agreement (and, for clarity, are excluded from the Compute Engine SLA).
The Google Cloud Free Tier credits for Compute Engine do not apply to preemptible instances.
Reference link- https://cloud.google.com/compute/docs/instances/preemptible
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