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How to Prepare For Google Professional Cloud DevOps Engineer Exam
Preparation Guide for Google Professional Cloud DevOps Engineer Exam
Introduction
Google has designed a track for IT professionals to endorse as a cloud DevOps Engineer on the GCP platform. This accreditation program gives Google cloud professionals a way to endorse their skills. The evaluation relies on a meticulous exam using the industry-standard methodology to conclude whether or not an aspirant meets Google's proficiency standards.
According to Google, a Google Professional Cloud DevOps Engineer Exam test facilitates organizations to influence Google Cloud technologies. By leveraging experience implementing VPCs, DevOps services, hybrid connectivity, and security for established DevOps architectures, this individual ensures successful cloud implementations using the Google Cloud Platform Console or the command-line interface.
Certification is evidence of your skills, expertise in those areas in which you like to work. If a candidate wants to work as Google Professional Cloud DevOps Engineer and prove his knowledge, certification is offered by Google. This Google Professional Cloud DevOps Engineer Certification helps a candidate to validates his skills in Google Professional Cloud DevOps Engineer Technology.
In this guide, we will cover the Google Professional Cloud DevOps Engineer practice exams, Google Professional Cloud DevOps Engineer Certified Professionals salary, and all aspects of the Google Professional Cloud DevOps Engineer Certification.
Google Professional-Cloud-DevOps-Engineer Exam is a hands-on, performance-based exam that requires candidates to demonstrate their skills in real-world scenarios. Professional-Cloud-DevOps-Engineer exam is taken online and can be scheduled at any time. Candidates are given a set of tasks that they must complete within a given time frame. They are evaluated based on their ability to complete the tasks correctly and efficiently.
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Google Cloud Certified - Professional Cloud DevOps Engineer Exam Sample Questions (Q105-Q110):
NEW QUESTION # 105
Your company experiences bugs, outages, and slowness in its production systems. Developers use the production environment for new feature development and bug fixes. Configuration and experiments are done in the production environment, causing outages for users. Testers use the production environment for load testing, which often slows the production systems. You need to redesign the environment to reduce the number of bugs and outages in production and to enable testers to load test new features. What should you do?
- A. Create an automated testing script in production to detect failures as soon as they occur.
- B. Create a development environment for writing code and a test environment for configurations, experiments, and load testing.
- C. Secure the production environment to ensure that developers can't change it and set up one controlled update per year.
- D. Create a development environment with smaller server capacity and give access only to developers and testers.
Answer: B
Explanation:
Explanation
Creating a development environment for writing code and a test environment for configurations, experiments, and load testing is the best practice to reduce the number of bugs and outages in production and to enable testers to load test new features. This way, the production environment is isolated from changes that could affect its stability and performance.
NEW QUESTION # 106
You need to run a business-critical workload on a fixed set of Compute Engine instances for several months.
The workload is stable with the exact amount of resources allocated to it. You want to lower the costs for this workload without any performance implications. What should you do?
- A. Create an Unmanaged Instance Group for the instances used to run the workload.
- B. Migrate the instances to a Managed Instance Group.
- C. Convert the instances to preemptible virtual machines.
- D. Purchase Committed Use Discounts.
Answer: D
NEW QUESTION # 107
Your company recently migrated to Google Cloud. You need to design a fast, reliable, and repeatable solution for your company to provision new projects and basic resources in Google Cloud. What should you do?
- A. Use the Terraform repositories from the Cloud Foundation Toolkit. Apply the code with appropriate parameters to create the Google Cloud project and related resources.
- B. Use the Google Cloud console to create projects.
- C. Write a script by using the gcloud CLI that passes the appropriate parameters from the request. Save the script in a Git repository.
- D. Write a Terraform module and save it in your source control repository. Copy and run the apply command to create the new project.
Answer: A
Explanation:
Explanation
Terraform is an open-source tool that allows you to define and provision infrastructure as code1. Terraform can be used to create and manage Google Cloud resources, such as projects, networks, and services2. The Cloud Foundation Toolkit is a set of open-source Terraform modules and tools that provide best practices and guidance for deploying Google Cloud infrastructure3. The Cloud Foundation Toolkit includes Terraform repositories for creating Google Cloud projects and related resources, such as IAM policies, APIs, service accounts, and billing4. By using the Terraform repositories from the Cloud Foundation Toolkit, you can design a fast, reliable, and repeatable solution for your company to provision new projects and basic resources in Google Cloud. You can also customize the Terraform code to suit your specific needs and preferences.
NEW QUESTION # 108
Your company uses a CI/CD pipeline with Cloud Build and Artifact Registry to deploy container images to Google Kubernetes Engine (GKE). Images are tagged with the latest commit hash and promoted to production after successful testing in the development and pre-production environments. A recent production deployment caused the application to fail due to untested integration functionality, requiring a disruptive manual rollback.
During the rollback, you noticed many old and unused container images accumulating in Artifact Registry.
You need to improve rollout and rollback management and clean up the old container images. What should you do?
- A. Adopt Cloud Deploy for managing deployments, and implement an Artifact Registry cleanup policy.
- B. Set up a rollback pipeline in Cloud Build, and implement an Artifact Registry cleanup policy.
- C. Deploy Cloud Service Mesh across the GKE clusters, and manually clean up Artifact Registry images.
- D. Adopt Cloud Deploy for managing deployments, and schedule a Cloud Build job for container image cleanup.
Answer: A
Explanation:
Comprehensive and Detailed Explanation:
Cloud Deploy is a GCP-native managed CI/CD tool for reliable and automated releases across environments.
Artifact Registry Cleanup Policy automates image retention and deletion of old images, reducing storage costs and avoiding clutter.
Rollback and rollback policies should be handled by Cloud Deploy, not manual interventions.
#Why not other options?
A## Cloud Build jobs for cleanup are not scalable or automated compared to Artifact Registry policies.
B## Cloud Service Mesh is not related to deployment rollbacks or image cleanup.
D## Cloud Deploy provides better rollback management than a custom rollback pipeline.
#Official Reference:
Google Cloud Deploy Overview
Artifact Registry Cleanup Policy
NEW QUESTION # 109
You manage an application that is writing logs to Stackdriver Logging. You need to give some team members the ability to export logs. What should you do?
- A. Configure Access Context Manager to allow only these members to export logs.
- B. Grant the team members the IAM role of logging.configWriter on Cloud IAM.
- C. Create an Organizational Policy in Cloud IAM to allow only these members to create log exports.
- D. Create and grant a custom IAM role with the permissions logging.sinks.list and logging.sink.get.
Answer: B
Explanation:
https://cloud.google.com/logging/docs/access-control
NEW QUESTION # 110
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