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Viewing page 4 out of 11 pages

Viewing questions 31-40 out of questions

Questions # 31:

You have an application on a general-purpose Compute Engine instance that is experiencing excessive disk read throttling on its Zonal SSD Persistent Disk. The application primarily reads large files from disk. The disk size is currently 350 GB. You want to provide the maximum amount of throughput while minimizing costs. What should you do?

Options:

Increase the size of the disk to 1 TB.

Increase the allocated CPU to the instance.

Migrate to use a Local SSD on the instance.

Migrate to use a Regional SSD on the instance.

Questions # 32:

You need to produce a list of the enabled Google Cloud Platform APIs for a GCP project using the gcloud command line in the Cloud Shell. The project name is my-project. What should you do?

Options:

Run gcloud projects list to get the project ID, and then run gcloud services list --project .

Run gcloud init to set the current project to my-project, and then run gcloud services list --available.

Run gcloud info to view the account value, and then run gcloud services list --account .

Run gcloud projects describe to verify the project value, and then run gcloud services list --available.

Questions # 33:

You created a Kubernetes deployment by running kubectl run nginx image=nginx replicas=1. After a few days, you decided you no longer want this deployment. You identified the pod and deleted it by running kubectl delete pod. You noticed the pod got recreated.

$ kubectlgetpods

NAME READY STATUS RESTARTS AGE

nginx-84748895c4-nqqmt 1/1 Running 0 9m41s

$ kubectldeletepod nginx-84748895c4-nqqmt

pod nginx-84748895c4-nqqmt deleted

$ kubectlgetpods

NAME READY STATUS RESTARTS AGE

nginx-84748895c4-k6bzl 1/1 Running 0 25s

What should you do to delete the deployment and avoid pod getting recreated?

Options:

kubectl delete deployment nginx

kubectl delete –deployment=nginx

kubectl delete pod nginx-84748895c4-k6bzl –no-restart 2

kubectl delete inginx

Questions # 34:

You are working with a Cloud SQL MySQL database at your company. You need to retain a month-end copy of the database for three years for audit purposes. What should you do?

Options:

Save file automatic first-of-the- month backup for three years Store the backup file in an Archive class Cloud Storage bucket

Convert the automatic first-of-the-month backup to an export file Write the export file to a Coldline class Cloud Storage bucket

Set up an export job for the first of the month Write the export file to an Archive class Cloud Storage bucket

Set up an on-demand backup tor the first of the month Write the backup to an Archive class Cloud Storage bucket

Questions # 35:

You need to provide a cost estimate for a Kubernetes cluster using the GCP pricing calculator for Kubernetes. Your workload requires high IOPs, and you will also be using disk snapshots. You start by entering the number of nodes, average hours, and average days. What should you do next?

Options:

Fill in local SSD. Fill in persistent disk storage and snapshot storage.

Fill in local SSD. Add estimated cost for cluster management.

Select Add GPUs. Fill in persistent disk storage and snapshot storage.

Select Add GPUs. Add estimated cost for cluster management.

Questions # 36:

You have one project called proj-sa where you manage all your service accounts. You want to be able to use a service account from this project to take snapshots of VMs running in another project called proj-vm. What should you do?

Options:

Download the private key from the service account, and add it to each VMs custom metadata.

Download the private key from the service account, and add the private key to each VM’s SSH keys.

Grant the service account the IAM Role of Compute Storage Admin in the project called proj-vm.

When creating the VMs, set the service account’s API scope for Compute Engine to read/write.

Questions # 37:

Your development team needs a new Jenkins server for their project. You need to deploy the server using the fewest steps possible. What should you do?

Options:

Download and deploy the Jenkins Java WAR to App Engine Standard.

Create a new Compute Engine instance and install Jenkins through the command line interface.

Create a Kubernetes cluster on Compute Engine and create a deployment with the Jenkins Docker image.

Use GCP Marketplace to launch the Jenkins solution.

Questions # 38:

Your company wants to standardize the creation and management of multiple Google Cloud resources using Infrastructure as Code. You want to minimize the amount of repetitive code needed to manage the environment What should you do?

Options:

Create a bash script that contains all requirement steps as gcloud commands

Develop templates for the environment using Cloud Deployment Manager

Use curl in a terminal to send a REST request to the relevant Google API for each individual resource.

Use the Cloud Console interface to provision and manage all related resources

Questions # 39:

You have two Google Cloud projects: project-a with VPC vpc-a (10.0.0.0/16) and project-b with VPC vpc-b (10.8.0.0/16). Your frontend application resides in vpc-a and the backend API services ate deployed in vpc-b. You need to efficiently and cost-effectively enable communication between these Google Cloud projects. You also want to follow Google-recommended practices. What should you do?

Options:

Configure a Cloud Router in vpc-a and another Cloud Router in vpc-b.

Configure a Cloud Interconnect connection between vpc-a and vpc-b.

Create VPC Network Peering between vpc-a and vpc-b.

Create an OpenVPN connection between vpc-a and vpc-b.

Questions # 40:

You are planning to migrate a database and a backend application to a Standard Google Kubernetes Engine (GKE) cluster. You need to prevent data loss and make sure there are enough nodes available for your backend application based on the demands of your workloads. You want to follow Google-recommended practices and minimize the amount of manual work required. What should you do?

Options:

Run your database as a StatefulSet. Configure cluster autoscaling to handle changes in the demands of your workloads.

Run your database as a single Pod. Run the resize command when you notice changes in the demands of your workloads.

Run your database as a Deployment. Configure cluster autoscaling to handle changes in the demands of your workloads.

Run your database as a DaemonSet. Run the resize command when you notice changes in the demands of your workloads.

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Viewing questions 31-40 out of questions

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