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Google Professional Cloud DevOps Engineer exam dumps: questions 201 to 266 of 266

Page 3 of the free Google Professional Cloud DevOps Engineer question bank for the Professional Cloud DevOps Engineer exam. Questions 201 to 266 are listed below, the first 5 in full with answers and explanations. Back to page 1 for the exam overview and FAQ.

Question bank last updated April 2025

Free Google Professional Cloud DevOps Engineer practice questions

Questions 202 to 206 of 266

Pick an answer before you open the explanation. Each question also has its own page with a permalink.

Google Professional Cloud DevOps Engineer Question 202

Select 3Google Cloud Platform

You are tasked with setting up a secure cloud development environment for your engineering team on Google Cloud. The environment must ensure that developers only have access to the resources they need, sensitive data is protected during development, and the code is scanned for vulnerabilities before deployment. Which of the following should you implement to meet these requirements?

  1. A

    Use IAM roles with the principle of least privilege to restrict developer access to only necessary resources.

  2. B

    Implement a Cloud DLP (Data Loss Prevention) service to monitor and secure sensitive data in the development environment.

  3. C

    Require developers to use personal Google Cloud accounts for accessing the development environment to ensure accountability.

  4. D

    Integrate a CI/CD pipeline that includes automated vulnerability scanning tools.

  5. E

    Store sensitive credentials and API keys directly in the source code repository for quick access during development.

Show answer and explanation

Correct answers: A, B, D

Explanation

To enable a secure cloud development environment, it's essential to apply the principle of least privilege, protect sensitive data, and proactively identify code vulnerabilities. IAM roles ensure resource access is restricted, Cloud DLP secures sensitive information, and vulnerability scanning helps catch issues early. Using personal accounts or storing sensitive credentials in source code repositories poses significant security risks and should be avoided.

  • A. Correct.

    Correct: Applying the principle of least privilege ensures that developers only have access to the resources they need, reducing the risk of unauthorized access or misuse.

  • B. Correct.

    Correct: Using Cloud DLP helps protect sensitive data by scanning and securing it, which is critical in a secure cloud development environment.

  • C. Incorrect.

    Incorrect: Using personal accounts introduces security and accountability risks. Instead, developers should use managed accounts within the organization's domain.

  • D. Correct.

    Correct: Including automated vulnerability scanning in the CI/CD pipeline helps identify and remediate code vulnerabilities before deployment.

  • E. Incorrect.

    Incorrect: Storing sensitive credentials and API keys in the source code repository is a security risk. These should be stored securely using tools like Secret Manager.

Google Professional Cloud DevOps Engineer Question 203

Select 2Google Cloud Platform

Your team is adopting Cloud Workstations to standardize development environments for all developers. You are tasked with configuring a workstation template to meet the following requirements:

  • Developers should use a pre-configured development environment with Python and Node.js.
  • The development environment must be isolated from the public internet for security purposes.
  • Developers should be able to access their workstations using a browser without requiring additional VPN setup.

Which steps should you take to configure the Cloud Workstation template to meet these requirements?

  1. A

    Install Python and Node.js in the workstation image using a custom Dockerfile.

  2. B

    Configure a private endpoint for the workstation and enable Identity-Aware Proxy (IAP) for secure access.

  3. C

    Allow public internet access to the workstation and configure a firewall rule to restrict access to specific IP ranges.

  4. D

    Use a pre-configured Google-provided image that includes Python and Node.js.

  5. E

    Enable secure access to the workstation using SSH keys and disable browser-based access.

Show answer and explanation

Correct answers: A, B

Explanation

To meet the requirements, you need to configure a Cloud Workstation template with Python and Node.js by using a custom Dockerfile to ensure a pre-configured environment. Additionally, configuring a private endpoint and enabling Identity-Aware Proxy ensures the workstation is isolated from the public internet while still allowing secure browser-based access.

  • A. Correct.

    Correct: Using a custom Dockerfile allows you to pre-configure the development environment with Python and Node.js, meeting the requirement for a consistent setup.

  • B. Correct.

    Correct: Configuring a private endpoint and enabling IAP ensures that the workstation is isolated from the public internet while still allowing secure browser-based access.

  • C. Incorrect.

    Incorrect: Allowing public internet access contradicts the requirement for isolation from the public internet, even if restricted to specific IP ranges.

  • D. Incorrect.

    Incorrect: While Google-provided images may include some tools, they may not have both Python and Node.js pre-installed and do not meet the requirement for a fully customized environment.

  • E. Incorrect.

    Incorrect: Disabling browser-based access and relying solely on SSH does not meet the requirement for browser-based workstation access.

Google Professional Cloud DevOps Engineer Question 204

Single answerGoogle Cloud Platform

Your team is tasked with setting up a development environment for a new project in Google Cloud. The environment must include pre-installed tools such as the Cloud SDK, a custom IDE configuration, and security policies. You want to ensure that developers can quickly and consistently provision environments without manual steps. Which approach should you take to achieve this goal?

  1. A

    Use custom VM images with pre-installed tools and configurations, and deploy them using an instance template.

  2. B

    Create a startup script that installs the required tools and configurations every time a VM instance is created.

  3. C

    Manually configure the environment for each developer and document the steps for consistency.

  4. D

    Use a containerized environment with Docker images containing the required tools and configurations.

Show answer and explanation

Correct answer: A

Explanation

Custom VM images pre-loaded with the required tools and configurations provide a reliable and efficient method for bootstrapping environments. Using instance templates ensures consistency and scalability, making it ideal for DevOps workflows. While other options like startup scripts or Docker may work, they are either less efficient or outside the scope of the specific requirements outlined in the question.

  • A. Correct.

    This is the correct approach because custom VM images allow for consistent provisioning of environments with pre-installed tools, ensuring speed and avoiding manual errors. Instance templates provide scalability and reusability.

  • B. Incorrect.

    While startup scripts can install tools dynamically, they might increase provisioning time and introduce variability if external dependencies fail. This is less efficient than using custom images.

  • C. Incorrect.

    Manually configuring environments is prone to errors, time-consuming, and cannot guarantee consistency across developers.

  • D. Incorrect.

    Using Docker images can be an alternative, but the question specifies bootstrapping environments for development, and custom VM images are more aligned with the use case in this scenario.

Google Professional Cloud DevOps Engineer Question 205

Select 2Google Cloud Platform

Your team is adopting AI tools to enhance the development and operations lifecycle for your Google Cloud-based application. You are considering using Cloud Code and Gemini Code Assist. Which of the following are appropriate use cases for these tools to speed up development and operational tasks?

  1. A

    Generate boilerplate Kubernetes YAML configurations for deploying applications

  2. B

    Debug a production workload running on Google Kubernetes Engine (GKE) by automatically identifying runtime exceptions

  3. C

    Provide code suggestions and autocompletions for Google Cloud APIs within your IDE

  4. D

    Automatically scale an instance group based on traffic spikes without manual intervention

  5. E

    Identify security vulnerabilities in your CI/CD pipeline and suggest remediations

Show answer and explanation

Correct answers: A, C

Explanation

Cloud Code and Gemini Code Assist are AI-powered tools that enhance developer productivity by generating templates (e.g., Kubernetes YAML) and providing intelligent code suggestions. These tools specifically aim to simplify development processes, while operational tasks like autoscaling or security scanning involve other specialized Google Cloud services.

  • A. Correct.

    Correct. Cloud Code simplifies Kubernetes development by generating boilerplate YAML configurations for Kubernetes resources, reducing manual effort.

  • B. Incorrect.

    Incorrect. While debugging tools exist on Google Cloud, Cloud Code and Gemini Code Assist are not primarily designed for automatic runtime exception detection in production workloads.

  • C. Correct.

    Correct. Gemini Code Assist and Cloud Code are designed to enhance developer productivity by providing code suggestions, autocompletions, and context-aware assistance for Google Cloud APIs.

  • D. Incorrect.

    Incorrect. Automatic scaling is managed by Google Cloud features like autoscaler for instance groups, not by Cloud Code or Gemini Code Assist.

  • E. Incorrect.

    Incorrect. Security vulnerability scanning and recommendations are typically performed by tools like Cloud Build integration with security scanners, not by Cloud Code or Gemini Code Assist.

Google Professional Cloud DevOps Engineer Question 206

Select 3Google Cloud Platform

Your team is deploying a new application to Google Kubernetes Engine (GKE) using a CI/CD pipeline. The application requires automated testing, image building, and deployment to staging and production environments. You want to ensure that deployments to production minimize downtime while being properly validated. Which steps should you include in your CI/CD pipeline design to meet these requirements?

  1. A

    Implement Canary deployments for production to gradually release changes and monitor for issues.

  2. B

    Use a single staging and production cluster with different namespaces to reduce infrastructure complexity.

  3. C

    Integrate automated unit, integration, and end-to-end tests into the CI/CD pipeline.

  4. D

    Manually trigger deployments to production to ensure human oversight before release.

  5. E

    Use Google Cloud Build to automate container image builds and push them to Container Registry.

Show answer and explanation

Correct answers: A, C, E

Explanation

A robust CI/CD pipeline should include automated testing to validate code changes, automated image building and deployment to streamline the process, and deployment strategies like Canary to minimize downtime and risks in production. Using a single cluster for staging and production or relying on manual production triggers is not recommended as they introduce risks and inefficiencies.

  • A. Correct.

    Canary deployments allow you to release changes incrementally, reducing risk and downtime while providing an opportunity to monitor for issues in production. This is a best practice for minimizing downtime.

  • B. Incorrect.

    Using the same cluster for staging and production can lead to potential conflicts and security risks. It is a better practice to separate staging and production environments to ensure isolation and reliability.

  • C. Correct.

    Automated testing, such as unit, integration, and end-to-end tests, ensures that code changes are validated before deployment, reducing the risk of introducing bugs.

  • D. Incorrect.

    Manually triggering production deployments slows down the CI/CD process and introduces the possibility of human error. Automated deployments are preferred for consistency and reliability.

  • E. Correct.

    Google Cloud Build is a powerful tool for automating container image builds and pushing them to Container Registry, which is a key step in the CI/CD pipeline.

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Google Professional Cloud DevOps Engineer practice questions 201 to 266 of 266

Every question has a page with the answer and explanation. Numbers are stable, so you can bookmark or share them. The bank is split into 3 pages of up to 100 questions.

  1. 202.You are tasked with setting up a secure cloud development environment for your engineering team on Google...
  2. 203.Your team is adopting Cloud Workstations to standardize development environments for all developers. You are...
  3. 204.Your team is tasked with setting up a development environment for a new project in Google Cloud. The...
  4. 205.Your team is adopting AI tools to enhance the development and operations lifecycle for your Google...
  5. 206.Your team is deploying a new application to Google Kubernetes Engine (GKE) using a CI/CD pipeline. The...
  6. 207.Your company is using Google Cloud's Artifact Registry to store and manage container images. You have been...
  7. 208.Your organization wants to deploy a new application across both on-premises data centers and Google Cloud,...
  8. 209.Your company deploys a microservices-based application on Google Kubernetes Engine (GKE). The CI/CD pipeline...
  9. 210.You are deploying a new version of an application using a CI/CD pipeline in Google Cloud. To ensure the new...
  10. 211.Your team is deploying a new application to Google Kubernetes Engine (GKE) and wants to ensure that...
  11. 212.Your team is deploying a serverless application using Google Cloud Functions. You want to set up a CI/CD...
  12. 213.Your team is tasked with deploying and managing a GKE cluster for a production environment. To ensure...
  13. 214.Your team is building a CI/CD pipeline for a microservices-based application deployed on Google Kubernetes...
  14. 215.Your team uses Google Cloud for managing application deployments. Recently, you noticed discrepancies between...
  15. 216.Your team is deploying a new version of a critical microservice to Google Kubernetes Engine (GKE). The...
  16. 217.Your team has deployed a new version of a web application on Google Kubernetes Engine (GKE), but users are...
  17. 218.You are managing the CI/CD pipeline for a production application hosted on Google Cloud Platform. The...
  18. 219.You are working as a Cloud DevOps Engineer for a company that handles sensitive customer data. The company...
  19. 220.Your organization is building a CI/CD pipeline on Google Cloud for a web application. The pipeline needs to...
  20. 221.You are deploying a containerized application on Google Kubernetes Engine (GKE) that requires a sensitive API...
  21. 222.Your organization is implementing a CI/CD pipeline on Google Cloud. To secure the pipeline, you want to...
  22. 223.Your organization stores container images in Google Artifact Registry. As a DevOps engineer, you need to...
  23. 224.Your team is developing a containerized application and deploying it to Google Kubernetes Engine (GKE). To...
  24. 225.Your organization has three environments: development, staging, and production. You are tasked with ensuring...
  25. 226.Your team is responsible for a critical application running on Google Cloud. Recently, you’ve been tasked to...
  26. 227.Your team is responsible for managing a critical e-commerce application hosted on Google Cloud. You need to...
  27. 228.Your team is responsible for maintaining a critical cloud-based application with a defined Service Level...
  28. 229.Your team has been tasked with deploying a critical application on Google Cloud. The application must...
  29. 230.Your team is responsible for managing the lifecycle of a critical microservice running on Google Kubernetes...
  30. 231.Your team is planning to introduce a new microservice into production. To ensure the availability and...
  31. 232.Your team is designing a new application that will run on Google Cloud. The application is expected to...
  32. 233.You are managing a web application deployed on Google Kubernetes Engine (GKE) that experiences highly...
  33. 234.Your team manages a critical e-commerce application on Google Cloud. During a peak sale event, a new code...
  34. 235.You are managing a production application running on Google Kubernetes Engine (GKE) with a Deployment that...
  35. 236.Your team manages a web application hosted on Google Kubernetes Engine (GKE). During peak traffic hours, the...
  36. 237.Your team has deployed a new version of a critical application to production on Google Cloud using a rolling...
  37. 238.Your organization uses Google Cloud Logging to monitor and troubleshoot production systems. Recently, some...
  38. 239.Your organization has a custom application running on Compute Engine instances in Google Cloud. The...
  39. 240.Your team has noticed a significant increase in logging costs in your Google Cloud environment. Upon...
  40. 241.Your organization requires all audit logs from Google Cloud resources to be stored in a centralized location...
  41. 242.Your team is running a large-scale application on Google Cloud, and you are required to retain logs for...
  42. 243.Your team is troubleshooting an issue where API requests to a Google Cloud-based application are...
  43. 244.You are responsible for designing a CI/CD pipeline for a healthcare application hosted on Google Cloud. The...
  44. 245.Your organization has recently deployed a new microservices-based application on Google Kubernetes Engine...
  45. 246.Your organization has deployed a hybrid cloud solution with workloads running both in Google Cloud and on an...
  46. 247.Your team has implemented a new feature in your application that writes specific structured logs to Cloud...
  47. 248.Your team is experiencing intermittent performance issues with a Cloud Spanner database, and you need to...
  48. 249.A DevOps team is responsible for monitoring the availability and performance of a critical web application...
  49. 250.Your team is responsible for managing a critical production application on Google Cloud. You need to ensure...
  50. 251.Your team has created a custom dashboard in Cloud Monitoring to monitor the performance of a critical...
  51. 252.Your team manages a web application hosted on Google Cloud, and you have defined an SLO that 99.9% of...
  52. 253.Your company is using Google Cloud Monitoring to track application performance. However, the team has decided...
  53. 254.Your team has deployed a new microservices-based application on Google Kubernetes Engine (GKE). Users are...
  54. 255.Your organization is running a web application on Google Kubernetes Engine (GKE) and has started experiencing...
  55. 256.Your team has implemented a CI/CD pipeline in Google Cloud using Cloud Build, but the deployment process...
  56. 257.Your team has deployed a new microservices-based application on Google Kubernetes Engine (GKE). However,...
  57. 258.Your team manages a web application hosted on Google Cloud that is experiencing intermittent high latency...
  58. 259.Your team is running a critical microservices-based application on Google Kubernetes Engine (GKE). Recently,...
  59. 260.Your team is deploying a microservices-based application to Google Cloud and needs to implement application...
  60. 261.You are a DevOps engineer at a company that operates a microservices-based application hosted on Google...
  61. 262.Your team is developing a microservices-based application hosted on Google Kubernetes Engine (GKE). You want...
  62. 263.Your team is running a Kubernetes-based application on Google Kubernetes Engine (GKE). You notice that some...
  63. 264.Your organization has recently seen a significant increase in observability costs due to the high volume of...
  64. 265.Your team is running a batch data processing pipeline on Google Cloud that is cost-sensitive but can tolerate...
  65. 266.Your company runs multiple applications on Google Cloud, each requiring varying levels of compute resources...
  66. 267.Your organization is running multiple workloads on Google Cloud, and the leadership team is concerned about...