AUTHORIZED PROFESSIONAL-CLOUD-DEVOPS-ENGINEER CERTIFICATION - PROFESSIONAL-CLOUD-DEVOPS-ENGINEER EXAM VCE FREE

Authorized Professional-Cloud-DevOps-Engineer Certification - Professional-Cloud-DevOps-Engineer Exam Vce Free

Authorized Professional-Cloud-DevOps-Engineer Certification - Professional-Cloud-DevOps-Engineer Exam Vce Free

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Google Professional-Cloud-DevOps-Engineer Certification Exam is a highly sought-after certification that is designed for IT professionals who want to demonstrate their skills in managing and deploying applications on Google Cloud Platform (GCP). Google Cloud Certified - Professional Cloud DevOps Engineer Exam certification validates the skills and knowledge of individuals in various areas of cloud computing, including DevOps practices, infrastructure automation, continuous delivery, and monitoring and logging.

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The Google Cloud Certified - Professional Cloud DevOps Engineer Exam certification exam is a performance-based exam that consists of tasks that the candidate needs to complete within a set time frame. Professional-Cloud-DevOps-Engineer exam is designed to test the candidate's ability to apply their knowledge of GCP and DevOps principles to real-world scenarios. Professional-Cloud-DevOps-Engineer Exam covers a wide range of topics, including building and deploying applications on GCP, designing and implementing continuous delivery pipelines, configuring monitoring and logging systems, and managing GCP resources using automation tools.

Google Cloud Certified - Professional Cloud DevOps Engineer Exam Sample Questions (Q177-Q182):

NEW QUESTION # 177
You have deployed a fleet Of Compute Engine instances in Google Cloud. You need to ensure that monitoring metrics and logs for the instances are visible in Cloud Logging and Cloud Monitoring by your company's operations and cyber security teams. You need to grant the required roles for the Compute Engine service account by using Identity and Access Management (IAM) while following the principle of least privilege. What should you do?

  • A. Grant the Logging. admin and monitoring . editor roles to the Compute Engine service accounts.
  • B. Grant the logging. logwriter and monitoring. editor roles to the Compute Engine service accounts.
  • C. Grant the logging.editor and monitoring.metricwriter roles to the Compute Engine service accounts.
  • D. Grant the logging. logWriter and monitoring. metricWriter roles to the Compute Engine service accounts.

Answer: C

Explanation:
The correct answer is D. Grant the logging.logWriter and monitoring.metricWriter roles to the Compute Engine service accounts.
According to the Google Cloud documentation, the Compute Engine service account is a Google-managed service account that is automatically created when you enable the Compute Engine API1. This service account is used by default to run your Compute Engine instances and access other Google Cloud services on your behalf1. To ensure that monitoring metrics and logs for the instances are visible in Cloud Logging and Cloud Monitoring, you need to grant the following IAM roles to the Compute Engine service account23:
The logging.logWriter role allows the service account to write log entries to Cloud Logging4.
The monitoring.metricWriter role allows the service account to write custom metrics to Cloud Monitoring5.
These roles grant the minimum permissions that are needed for logging and monitoring, following the principle of least privilege. The other roles are either unnecessary or too broad for this purpose. For example, the logging.editor role grants permissions to create and update logs, log sinks, and log exclusions, which are not required for writing log entries6. The logging.admin role grants permissions to delete logs, log sinks, and log exclusions, which are not required for writing log entries and may pose a security risk if misused. The monitoring.editor role grants permissions to create and update alerting policies, uptime checks, notification channels, dashboards, and groups, which are not required for writing custom metrics.
Reference:
Service accounts, Service accounts. Setting up Stackdriver Logging for Compute Engine, Setting up Stackdriver Logging for Compute Engine. Setting up Stackdriver Monitoring for Compute Engine, Setting up Stackdriver Monitoring for Compute Engine. Predefined roles, Predefined roles. Predefined roles, Predefined roles. Predefined roles, Predefined roles. [Predefined roles], Predefined roles. [Predefined roles], Predefined roles.


NEW QUESTION # 178
You have a pool of application servers running on Compute Engine. You need to provide a secure solution that requires the least amount of configuration and allows developers to easily access application logs for troubleshooting. How would you implement the solution on GCP?

  • A. * Deploy the Stackdriver logging agent to the application servers.
    * Give the developers the IAM Logs Viewer role to access Stackdriver and view logs.
  • B. * Install the gsutil command line tool on your application servers.
    * Write a script using gsutil to upload your application log to a Cloud Storage bucket, and then schedule it to run via cron every 5 minutes.
    * Give the developers IAM Object Viewer access to view the logs in the specified bucket.
  • C. * Deploy the Stackdriver logging agent to the application servers.
    * Give the developers the IAM Logs Private Logs Viewer role to access Stackdriver and view logs.
  • D. * Deploy the Stackdriver monitoring agent to the application servers.
    * Give the developers the IAM Monitoring Viewer role to access Stackdriver and view metrics.

Answer: A

Explanation:
https://cloud.google.com/logging/docs/audit#access-control


NEW QUESTION # 179
Your company allows teams to self-manage Google Cloud projects, including project-level Identity and Access Management (IAM). You are concerned that the team responsible for the Shared VPC project might accidentally delete the project, so a lien has been placed on the project. You need to design a solution to restrict Shared VPC project deletion to those with the resourcemanager.projects.updateLiens permission at the organization level. What should you do?

  • A. Enable the compute.restrictXpnProjectLienRemoval organization policy constraint.
  • B. Instruct teams to only perform IAM permission management as code with Terraform.
  • C. Enable VPC Service Controls for the container.googleapis.com API service.
  • D. Revoke the resourcemanager.projects.updateLiens permission from all users associated with the project.

Answer: A

Explanation:
Comprehensive and Detailed Explanation From General Google Cloud IAM and Organization Policy Knowledge:
The core requirement is to prevent accidental deletion of a Shared VPC host project, even by project owners, by ensuring that only users with a specific permission at the organization level can remove the lien that protects the project.
A lien (resourcemanager.projects.delete) has already been placed on the project. This prevents its deletion.
The challenge is to prevent the removal of this lien by project-level administrators.
The permission to remove a lien is resourcemanager.projectLiens.update (or resourcemanager.projects.
updateLiens as stated in the question, which implies a broader update capability including liens).
Option A (Enable VPC Service Controls for the container.googleapis.com API service): VPC Service Controls are for data exfiltration prevention by creating service perimeters. They do not directly control IAM permissions for lien management or project deletion.
Option B (Revoke the resourcemanager.projects.updateLiens permission from all users associated with the project): While this would prevent project-level users from removing the lien, it doesn't enforce therequirement that only users with this permission at the organization level can remove it. A project owner could potentially re-grant themselves this permission at the project level if not otherwise restricted. The goal is a stronger, centrally enforced restriction.
Option C (Enable the compute.restrictXpnProjectLienRemoval organization policy constraint): This is specifically designed for the scenario described.Organization Policies allow centralized control over resource configurations across the organization.
The compute.restrictXpnProjectLienRemoval constraint, when enforced (set to True), restricts the removal of liens on Shared VPC host projects. Only users who have the resourcemanager.projectLiens.update permission (or resourcemanager.projects.updateLiens) granted at the organization level can then remove such liens. This prevents project owners or other project-level principals from removing the lien unless they also have this specific permission at the org level.
Option D (Instruct teams to only perform IAM permission management as code with Terraform): While Infrastructure as Code (IaC) is a good practice for managing IAM, it's an operational guideline and doesn't technically enforce the restriction on lien removal. A user with sufficient project-level IAM permissions could still manually remove the lien via the console or gcloud if not prevented by an organization policy.
Therefore, enabling the compute.restrictXpnProjectLienRemoval organization policy is the direct and most effective way to meet the requirement.
Reference (Based on Google Cloud Organization Policy and Shared VPC documentation):
Google Cloud documentation on Resource Manager Liens: https://cloud.google.com/resource-manager/docs
/project-liens
Google Cloud documentation on Organization Policy Constraints: https://cloud.google.com/resource-manager
/docs/organization-policy/org-policy-constraints
Specifically, the compute.restrictXpnProjectLienRemoval constraint: "When set to true, liens on Shared VPC host projects can only be removed by users that have resourcemanager.projectLiens.update permission on the organization." (or similar wording indicating org-level permission is required). This constraint ensures that the protection afforded by the lien on a critical Shared VPC host project cannot be easily circumvented at the project level.


NEW QUESTION # 180
You need to deploy a new service to production. The service needs to automatically scale using a Managed Instance Group (MIG) and should be deployed over multiple regions. The service needs a large number of resources for each instance and you need to plan for capacity. What should you do?

  • A. Deploy the service in one region and use a global load balancer to route traffic to this region.
  • B. Use the n1-highcpu-96 machine type in the configuration of the MIG.
  • C. Monitor results of Stackdriver Trace to determine the required amount of resources.
  • D. Validate that the resource requirements are within the available quota limits of each region.

Answer: D

Explanation:
https://cloud.google.com/compute/quotas#understanding_quotas
https://cloud.google.com/compute/quotas


NEW QUESTION # 181
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 Google Cloud console to create projects.
  • B. Write a script by using the gcloud CLI that passes the appropriate parameters from the request. Save the script in a Git repository.
  • C. Use the Terraform repositories from the Cloud Foundation Toolkit. Apply the code with appropriate parameters to create the Google Cloud project and related resources.
  • 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: C

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 # 182
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