Free Online Google Professional-Cloud-DevOps-Engineer Practice Test

Prepare Your Google Professional-Cloud-DevOps-Engineer Exam Questions with Free online Professional-Cloud-DevOps-Engineer Practice Test. Get Brilliant Google Professional Cloud DevOps Engineer Exam Results with Valid Professional Cloud DevOps Engineer Exam Dumps.

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Total 499 Questions | Updated On: May 06, 2024

Question 1

You need to deploy a new service to production. The service needs to automatically scale using a Managed Instance Group (MIG) and should be deployed over multiple regions. The service needs a large number of resources for each instance and you need to plan for capacity. What should you do?

A : Use the n1-highcpu-96 machine type in the configuration of the MIG.

B : Monitor results of Stackdriver Trace to determine the required amount of resources.

C : Validate that the resource requirements are within the available quota limits of each region.

D : Deploy the service in one region and use a global load balancer to route traffic to this region.

Answer: C

Question 2

Your company is using HTTPS requests to trigger a public Cloud Run-hosted service accessible at the

https://booking-engine-abcdef .a.run.app URL

You need to give developers the ability to test the latest revisions of the service before the service is exposed to customers What should you do?

A :

Runthegcioud run deploy booking-engine command Use the https://dev----booking-engine-abcdef. a. run. app URL for testing

B :

Runthegcioud run services update-traffic booking-engine revisions LATEST*! command Use the https://booking-engine-abcdef. a. run. ape URL for testing

C : Pass the curl -K "Authorization: Hearer S(gclcud auth print-identity-token)" auth token Use the https://booking-engine-abcdef. a. run. app URL to test privately

D :

Grant the roles/run. invoker role to the developers testing the booking-engine service Use the https: //booking-engine-abcdef. private. run. app URL for testing

Answer: B

Question 3

You are currently planning how to display Cloud Monitoring metrics for your organization's Google Cloud projects. Your organization has three folders and six projects:

You want to configure Cloud Monitoring dashboards lo only display metrics from the projects within one folder You need to ensure that the dashboards do not display metrics from projects in the other folders You want to follow Google-recommended practices What should you do?

A : Create a single new scoping project

B : Create new scoping projects for each folder

C : Use the current app-one-prod project as the scoping project

D :

Use the current app-one-dev, app-one-staging and app-one-prod projects as the scoping project for each folder

Answer: B

Question 4

Your application services run in Google Kubernetes Engine (GKE). You want to make sure that only images from your centrally-managed Google Container Registry (GCR) image registry in the altostrat-images project can be deployed to the cluster while minimizing development time. What should you do?

A : Create a custom builder for Cloud Build that will only push images to gcr.io/altostrat-images.

B : Use a Binary Authorization policy that includes the whitelist name pattern gcr.io/attostrat-images/.

C :

Add logic to the deployment pipeline to check that all manifests contain only images from gcr.io/altostrat-images.

D :

Add a tag to each image in gcr.io/altostrat-images and check that this tag is present when the image is deployed.

Answer: B

Question 5

As a Language translation app company, you have multiple production systems running on Compute Engine within one Google Cloud Platform (GCP) project. Each system contains its own dedicated Compute Engine instances. How can you determine the total cost of running each system?

A : Visualize the costs per system by utilizing the Cost Breakdown section in the Google Cloud Platform Console.

B : It is recommended to assign each virtual machine (VM) a name that corresponds to the system it operates. Additionally, you can establish a usage report export to a Cloud Storage bucket and configure the bucket as a source in BigQuery. This allows you to analyze costs associated with VM names.

C : Add system-specific metadata to all instances, set up Cloud Logging to export logs to BigQuery, and use the metadata to calculate costs through querying.

D : Make sure to label all instances with the name of the system they are running. Then, set up BigQuery billing export and query costs to be charged per label.

Answer: D

Page: 1 / 100

Total 499 Questions | Updated On: May 06, 2024