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

The application on Google Kubernetes Engine (GKE) is currently using a logging library and outputting to standard output. To export the logs to Cloud Logging, including metadata about each request, the simplest method will be used.

What actions are recommended?

A : Change your application's logging library to the Cloud Logging library, and configure your application to export logs to Cloud Logging.

B : Update your application to output logs in JSON format, and include the required metadata in the JSON.

C : Modify your application to output logs in CSV format, and add the necessary metadata to the CSV.

D : Install the Fluent Bit agent on each of your GKE nodes, and have the agent export all logs from /var/log.

Answer: C

Question 3

You are using Cloud Run to host a global ecommerce web application. Your company’s design team is creating a new color scheme for the web app. You have been tasked with determining whether the new color scheme will increase sales. You want to conduct testing on live production traffic. How should you design the study?

A : an external HTTP(S) load balancer to route a predetermined percentage of traffic to two different color schemes of your application. Analyze the results to determine whether there is a statistically significant difference in sales.

B : an external HTTP(S) load balancer to route traffic to the original color scheme while the new deployment is created and tested. After testing is complete, reroute all traffic to the new color scheme. Analyze the results to determine whether there is a statistically significant difference in sales.

C : an external HTTP(S) load balancer to mirror traffic to the new version of your application. Analyze the results to determine whether there is a statistically significant difference in sales

D : able a feature flag that displays the new color scheme to half of all users. Monitor sales to see whether they increase for this group of users.

Answer: D

Question 4

Working alongside the CI/CD team, you, as a developer, are tasked with identifying and resolving a problem that has arisen with a new feature that your team has recently introduced. The CI/CD team employed HashiCorp Packer to generate a fresh Compute Engine image from your development branch, which proved successful in its creation. However, the image is currently unable to start up and requires investigation by the CI/CD team.

What actions are recommended?

A : Install Packer on your device, build the Compute Engine image locally, and then run it in your personal Google Cloud project.

B : Verify the Compute Engine OS logs through the serial port and confirm access to the serial port by checking the Cloud Logging logs.

C : Create a new feature branch and request the build team to reconstruct the image.

D : Power off the virtual machine in use, export the disk, and mount it locally to access the boot logs.

Answer: B

Question 5

Your company's development teams want to use various open source operating systems in their Docker builds. When images are created in published containers in your company's environment, you need to scan them for Common Vulnerabilities and Exposures (CVEs) The scanning process must not impact software development agility. You want to use managed services where possible. What should you do?

A : able the Vulnerability scanning setting in the Container Registry.

B : eate a Cloud Function that is triggered on a code check-in and scan the code for CVEs.

C : allow the use of non-commercially supported base images in your development environment

D : Cloud Monitoring to review the output of Cloud Build to determine whether a vulnerable version has been used

Answer: A