PROFESSIONAL-CLOUD-DEVOPS-ENGINEER RELIABLE EXAM SYLLABUS & PROFESSIONAL-CLOUD-DEVOPS-ENGINEER TEST VCE FREE

Professional-Cloud-DevOps-Engineer Reliable Exam Syllabus & Professional-Cloud-DevOps-Engineer Test Vce Free

Professional-Cloud-DevOps-Engineer Reliable Exam Syllabus & Professional-Cloud-DevOps-Engineer Test Vce Free

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Google Professional-Cloud-DevOps-Engineer certification exam is a professional-level certification offered by Google Cloud. Google Cloud Certified - Professional Cloud DevOps Engineer Exam certification is designed to validate the skills and expertise of professionals who are responsible for designing, implementing, and managing DevOps practices and processes on the Google Cloud Platform.

Google Professional Cloud DevOps Engineer Certified Professional salary

The average salary of a Google Professional Cloud DevOps Engineer Certified Expert in different regions is as follows:

  • United State: 151,00 USD
  • England: 130,500 POUND
  • India: 25,00,000 INR
  • Europe: 144,000 EURO

Google Professional-Cloud-DevOps-Engineer (Google Cloud Certified - Professional Cloud DevOps Engineer) Exam is designed for professionals who have expertise in DevOps practices and technologies in the Google Cloud Platform. Google Cloud Certified - Professional Cloud DevOps Engineer Exam certification validates the knowledge and skills required to design, develop, and implement DevOps processes and practices on Google Cloud Platform. Professional-Cloud-DevOps-Engineer Exam covers a wide range of topics including continuous integration and delivery, infrastructure as code, monitoring and logging, and site reliability engineering. It is ideal for DevOps engineers, site reliability engineers, automation engineers, and cloud architects who work with Google Cloud Platform.

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Google Cloud Certified - Professional Cloud DevOps Engineer Exam Sample Questions (Q64-Q69):

NEW QUESTION # 64
You are developing a strategy for monitoring your Google Cloud Platform (GCP) projects in production using Stackdriver Workspaces. One of the requirements is to be able to quickly identify and react to production environment issues without false alerts from development and staging projects. You want to ensure that you adhere to the principle of least privilege when providing relevant team members with access to Stackdriver Workspaces. What should you do?

  • A. Choose an existing GCP production project to host the monitoring workspace. Attach the production projects to this workspace. Grant relevant team members read access to the Stackdriver Workspace.
  • B. Grant relevant team members read access to all GCP production projects. Create Stackdriver workspaces inside each project.
  • C. Create a new GCP monitoring project, and create a Stackdriver Workspace inside it. Attach the production projects to this workspace. Grant relevant team members read access to the Stackdriver Workspace.
  • D. Grant relevant team members the Project Viewer IAM role on all GCP production projects. Create Slackdriver workspaces inside each project.

Answer: C

Explanation:
Explanation
"A Project can host many Projects and appear in many Projects, but it can only be used as the scoping project once. We recommend that you create a new Project for the purpose of having multiple Projects in the same scope."


NEW QUESTION # 65
You support a trading application written in Python and hosted on App Engine flexible environment. You want to customize the error information being sent to Stackdriver Error Reporting. What should you do?

  • A. Install the Stackdriver Error Reporting library for Python, and then run your code on App Engine flexible environment.
  • B. Use the Stackdriver Error Reporting API to write errors from your application to ReportedErrorEvent, and then generate log entries with properly formatted error messages in Stackdriver Logging.
  • C. Install the Stackdriver Error Reporting library for Python, and then run your code on a Compute Engine VM.
  • D. Install the Stackdriver Error Reporting library for Python, and then run your code on Google Kubernetes Engine.

Answer: B

Explanation:
https://cloud.google.com/error-reporting/docs/formatting-error-messages
https://cloud.google.com/error-reporting/docs/reference/libraries#client-libraries-install-python no need to install error reporting library on App Engine Flex.


NEW QUESTION # 66
You work for a global organization and are running a monolithic application on Compute Engine You need to select the machine type for the application to use that optimizes CPU utilization by using the fewest number of steps You want to use historical system metncs to identify the machine type for the application to use You want to follow Google-recommended practices What should you do?

  • A. Create an Agent Policy to automatically install Ops Agent in all VMs
  • B. Install the Ops Agent in a fleet of VMs by using the gcloud CLI
  • C. Review the Cloud Monitoring dashboard for the VM and choose the machine type with the lowest CPU utilization
  • D. Use the Recommender API and apply the suggested recommendations

Answer: D

Explanation:
Explanation
The best option for selecting the machine type for the application to use that optimizes CPU utilization by using the fewest number of steps is to use the Recommender API and apply the suggested recommendations.
The Recommender API is a service that provides recommendations for optimizing your Google Cloud resources, such as Compute Engine instances, disks, and firewalls. You can use the Recommender API to get recommendations for changing the machine type of your Compute Engine instances based on historical system metrics, such as CPU utilization. You can also apply the suggested recommendations by using the Recommender API or Cloud Console. This way, you can optimize CPU utilization by using the most suitable machine type for your application with minimal effort.


NEW QUESTION # 67
You recently noticed that one Of your services has exceeded the error budget for the current rolling window period. Your company's product team is about to launch a new feature. You want to follow Site Reliability Engineering (SRE) practices.
What should you do?

  • A. Look through other metrics related to the product and find SLOs with remaining error budget. Reallocate the error budgets and allow the feature launch.
  • B. Notify the team that their error budget is used up. Negotiate with the team for a launch freeze or tolerate a slightly worse user experience.
  • C. Notify the team about the lack of error budget and ensure that all their tests are successful so the launch will not further risk the error budget.
  • D. Escalate the situation and request additional error budget.

Answer: B

Explanation:
The correct answer is
A, Notify the team that their error budget is used up. Negotiate with the team for a launch freeze or tolerate a slightly worse user experience.
According to the Site Reliability Engineering (SRE) practices, an error budget is the amount of unreliability that a service can tolerate without harming user satisfaction1. An error budget is derived from the service-level objectives (SLOs), which are the measurable goals for the service quality2. When a service exceeds its error budget, it means that it has violated its SLOs and may have negatively impacted the users. In this case, the SRE team should notify the product team that their error budget is used up and negotiate with them for a launch freeze or a lower SLO3. A launch freeze means that no new features are deployed until the service reliability is restored. A lower SLO means that the product team accepts a slightly worse user experience in exchange for launching new features. Both options require a trade-off between reliability and innovation, and should be agreed upon by both teams.
The other options are incorrect because they do not follow the SRE practices. Option B is incorrect because it violates the principle of error budget autonomy, which means that each service should have its own error budget and SLOs, and should not borrow or reallocate them from other services4. Option C is incorrect because it does not address the root cause of the error budget overspend, and may create unrealistic expectations for the service reliability. Option D is incorrect because it does not prevent the possibility of introducing new errors or bugs with the feature launch, which may further degrade the service quality and user satisfaction.
Reference:
Error Budgets, Error Budgets. Service Level Objectives, Service Level Objectives. Error Budget Policies, Error Budget Policies. Error Budget Autonomy, Error Budget Autonomy.


NEW QUESTION # 68
Your application images are built and pushed to Google Container Registry (GCR). You want to build an automated pipeline that deploys the application when the image is updated while minimizing the development effort. What should you do?

  • A. Use Cloud Build to trigger a Spinnaker pipeline.
  • B. Use Cloud Pub/Sub to trigger a custom deployment service running in Google Kubernetes Engine (GKE).
  • C. Use Cloud Pub/Sub to trigger a Spinnaker pipeline.
  • D. Use a custom builder in Cloud Build to trigger a Jenkins pipeline.

Answer: C

Explanation:
https://cloud.google.com/architecture/continuous-delivery-toolchain-spinnaker-cloud
https://spinnaker.io/guides/user/pipeline/triggers/pubsub/


NEW QUESTION # 69
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