Free Access Google.Professional-Cloud-Developer.v2024-10-24.q182 Practice Test (Page 5)

Question 16

You are creating a Google Kubernetes Engine (GKE) cluster and run this command:

The command fails with the error:

You want to resolve the issue. What should you do?

A.Decouple services in the cluster, and rewrite new clusters to function with fewer cores.

B.Request additional GKE quota is the GCP Console.

C.Open a support case to request additional GKE quotA.

D.Request additional Compute Engine quota in the GCP Console.

Question 17

You need to containerize a web application that will be hosted on Google Cloud behind a global load balancer with SSL certificates. You don't have the time to develop authentication at the application level, and you want to offload SSL encryption and management from your application. You want to configure the architecture using managed services where possible What should you do?

A.Host the application on Google Kubernetes Engine, and deploy cert-manager to manage SSL certificates.

B.Host the application on Compute Engine, and configure Cloud Endpoints for your application.

C.Host the application on Google Kubernetes Engine and use Identity-Aware Proxy (IAP) with Cloud Load Balancing and Google-managed certificates.

D.Host the application on Google Kubernetes Engine, and deploy an NGINX Ingress Controller to handle authentication.

Question 18

You work on an application that relies on Cloud Spanner as its main datastore. New application features have occasionally caused performance regressions. You want to prevent performance issues by running an automated performance test with Cloud Build for each commit made. If multiple commits are made at the same time, the tests might run concurrently. What should you do?

A.Create a new project with a random name for every build. Load the required data. Delete the project after the test is run.

B.Create a new Cloud Spanner instance for every build. Load the required data. Delete the Cloud Spanner instance after the test is run.

C.Create a project with a Cloud Spanner instance and the required data. Adjust the Cloud Build build file to automatically restore the data to its previous state after the test is run.

D.Start the Cloud Spanner emulator locally. Load the required data. Shut down the emulator after the test is run.

Question 19

You want to create "fully baked" or "golden" Compute Engine images for your application. You need to bootstrap your application to connect to the appropriate database according to the environment the application is running on (test, staging, production). What should you do?

A.When creating the Compute Engine instance, add a tag with the name of the database to be connected. In your application, query the Compute Engine API to pull the tags for the current instance, and use the tag to construct the appropriate database connection string.

B.When creating the Compute Engine instance, create a metadata item with a key of "DATABASE" and a value for the appropriate database connection string. In your application, read the "DATABASE" environment variable, and use the value to connect to the appropriate database.

C.Embed the appropriate database connection string in the image. Create a different image for each environment.

D.When creating the Compute Engine instance, create a metadata item with a key of "DATABASE" and a value for the appropriate database connection string. In your application, query the metadata server for the "DATABASE" value, and use the value to connect to the appropriate database.

Question 20

You are building a CI/CD pipeline that consists of a version control system, Cloud Build, and Container Registry. Each time a new tag is pushed to the repository, a Cloud Build job is triggered, which runs unit tests on the new code builds a new Docker container image, and pushes it into Container Registry. The last step of your pipeline should deploy the new container to your production Google Kubernetes Engine (GKE) cluster.
You need to select a tool and deployment strategy that meets the following requirements:
* Zero downtime is incurred
* Testing is fully automated
* Allows for testing before being rolled out to users
* Can quickly rollback if needed
What should you do?

A.Trigger a Spinnaker pipeline configured as an A/B test of your new code and, if it is successful, deploy the container to production.

B.Trigger a Spinnaker pipeline configured as a canary test of your new code and, if it is successful, deploy the container to production.

C.Trigger another Cloud Build job that uses the Kubernetes CLI tools to deploy your new container to your GKE cluster, where you can perform a canary test.

D.Trigger another Cloud Build job that uses the Kubernetes CLI tools to deploy your new container to your GKE cluster, where you can perform a shadow test.

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