Free Google Professional-Cloud-Developer Exam Questions

Question 1

You are developing a new application that has the following design requirements:

Creation and changes to the application infrastructure are versioned and auditable.

The application and deployment infrastructure uses Google-managed services as much as possible.

The application runs on a serverless compute platform.

How should you design the application’s architecture?

A : 1. Store the application and infrastructure source code in a Git repository.2. Use Cloud Build to deploy the application infrastructure with Terraform.3. Deploy the application to a Cloud Function as a pipeline step.

B : 1. Deploy Jenkins from the Google Cloud Marketplace, and define a continuous integration pipeline inJenkins.2. Configure a pipeline step to pull the application source code from a Git repository.3. Deploy the application source code to App Engine as a pipeline step.

C : 1. Create a continuous integration pipeline on Cloud Build, and configure the pipeline to deploy theapplication infrastructure using Deployment Manager templates.2. Configure a pipeline step to create a container with the latest application source code.3. Deploy the container to a Compute Engine instance as a pipeline step.

D : 1. Deploy the application infrastructure using gcloud commands.2. Use Cloud Build to define a continuous integration pipeline for changes to the application source code.3. Configure a pipeline step to pull the application source code from a Git repository, and create acontainerized application.4. Deploy the new container on Cloud Run as a pipeline step.

Answer: D

Question 2

Your application is deployed in a Google Kubernetes Engine (GKE) cluster. When a new version of your application is released, your CI/CD tool updates the spec.template.spec.containers[0].image value to reference the Docker image of your new application version. When the Deployment object applies the change, you want to deploy at least 1 replica of the new version and maintain the previous replicas until the new replica is healthy. Which change should you make to the GKE Deployment object shown below?

A : t the Deployment strategy to RollingUpdate with maxSurge set to 0, maxUnavailable set to 1.

B : t the Deployment strategy to RollingUpdate with maxSurge set to 1, maxUnavailable set to 0.

C : t the Deployment strategy to Recreate with maxSurge set to 0, maxUnavailable set to 1.

D : t the Deployment strategy to Recreate with maxSurge set to 1, maxUnavailable set to 0.

Answer: D

Question 3

After deploying your application in Google Kubernetes Engine, you now require the release of a new version of the application. It is essential to have the capability to promptly revert to the previous version in case complications arise with the latest version.

What would be the most suitable deployment model to use?

A : Perform a rolling deployment, and test your new application after the deployment is complete.

B : Perform A/B testing, and test your application periodically after the new tests are implemented.

C : Perform a blue/green deployment, and test your new application after the deployment is complete.

D : Perform a canary deployment, and test your new application periodically after the new version is deployed.

Answer: C

Question 4

You migrated your applications to Google Cloud Platform and kept your existing monitoring platform. You now find that your notification system is too slow for time critical problems. What should you do?

A : place your entire monitoring platform with Stackdriver.

B : tall the Stackdriver agents on your Compute Engine instances.

C : Stackdriver to capture and alert on logs, then ship them to your existing platform.

D : grate some traffic back to your old platform and perform AB testing on the two platforms concurrently.

Answer: B

Question 5

You work at a rapidly growing financial technology startup. You manage the payment processing application

written in Go and hosted on Cloud Run in the Singapore region (asia-southeast1). The payment processing

application processes data stored in a Cloud Storage bucket that is also located in the Singapore region.

The startup plans to expand further into the Asia Pacific region. You plan to deploy the Payment Gateway in

Jakarta, Hong Kong, and Taiwan over the next six months. Each location has data residency requirements that

require customer data to reside in the country where the transaction was made. You want to minimize the cost

of these deployments. What should you do?

A : eate a Cloud Storage bucket in each region, and create a Cloud Run service of the payment processing application in each region

B : eate a Cloud Storage bucket in each region, and create three Cloud Run services of the payment processing application in the Singapore region.

C : Create three Cloud Storage buckets in the Asia multi-region, and create three Cloud Run services of the payment processing application in the Singapore region

D : eate three Cloud Storage buckets in the Asia multi-region, and create three Cloud Run revisions of the payment processing application in the Singapore region.

Answer: A