2025 NEW PROFESSIONAL-CLOUD-DEVOPS-ENGINEER MOCK TEST | EFFICIENT PROFESSIONAL-CLOUD-DEVOPS-ENGINEER VALID EXAM COST: GOOGLE CLOUD CERTIFIED - PROFESSIONAL CLOUD DEVOPS ENGINEER EXAM 100% PASS

2025 New Professional-Cloud-DevOps-Engineer Mock Test | Efficient Professional-Cloud-DevOps-Engineer Valid Exam Cost: Google Cloud Certified - Professional Cloud DevOps Engineer Exam 100% Pass

2025 New Professional-Cloud-DevOps-Engineer Mock Test | Efficient Professional-Cloud-DevOps-Engineer Valid Exam Cost: Google Cloud Certified - Professional Cloud DevOps Engineer Exam 100% Pass

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Introduction to Google Professional Cloud DevOps Engineer Exam

Google Professional Cloud DevOps Engineer Exam is a certification exam that is conducted by Google to validates candidate knowledge and skills of working as a Professional Cloud DevOps engineer in the IT industry.

After passing this Professional Cloud DevOps Engineer Exam test, candidates get a certificate from Google that helps them to demonstrate their proficiency in Google Professional Cloud DevOps Engineer to their clients and employers.

Google Professional-Cloud-DevOps-Engineer Certification Exam is a challenging exam that requires a comprehensive understanding of various DevOps tools and practices. Professional-Cloud-DevOps-Engineer exam covers a wide range of topics, including Google Cloud Platform infrastructure services, DevOps automation, continuous integration and delivery, monitoring, and logging. Professional-Cloud-DevOps-Engineer exam also evaluates the candidate's ability to design and implement a DevOps pipeline using Google Cloud technologies.

Preparation Process

The best way to prepare for the Google Professional Cloud DevOps Engineer certification exam is to explore the training tools offered on its official website. The candidates can start their preparation process by reviewing the topics in the study guide. This will give them an idea of what they need to cover studying for the test and plan their learning time properly.

The official platform recommends that the potential individuals complete the Professional DevOps Engineer learning path, which includes in-person classes, online training, and hands-on labs for a better understating of the exam content. The courses within this path cover each aspect of the certification test in depth improving the candidates’ chances of passing the exam at the first attempt. Apart from the learning path, the applicants can take advantage of additional resources such as Google Cloud documentation and Google Cloud solutions. There is also the option of signing up for a dedicated webinar to learn valuable prep tips from the Google experts. At the end of your preparation, use the official sample questions to familiarize yourself with the format of exam questions and check the level of readiness.

Google Cloud Certified - Professional Cloud DevOps Engineer Exam Sample Questions (Q185-Q190):

NEW QUESTION # 185
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. 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.
  • B. Grant relevant team members the Project Viewer IAM role on all GCP production projects. Create Slackdriver workspaces inside each project.
  • C. 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.
  • D. Grant relevant team members read access to all GCP production projects. Create Stackdriver workspaces inside each project.

Answer: D


NEW QUESTION # 186
You manage your company's primary revenue-generating application. You have an error budget policy in place that freezes production deployments when the application is close to breaching its SLO. A number of issues have recently occurred, and the application has exhausted its error budget. You need to deploy a new release to the application that includes a feature urgently required by your largest customer. You have been told that the release has passed all unit tests. What should you do?

  • A. Deploy the feature to a subset of users, and gradually roll out to all users if there are no errors reported.
  • B. Start the deployment of the feature immediately.
  • C. Delay the deployment of the feature until the error budget is replenished.
  • D. Re-run the unit tests, and start the deployment of the feature if the tests pass.

Answer: A


NEW QUESTION # 187
You are managing an application that exposes an HTTP endpoint without using a load balancer. The latency of the HTTP responses is important for the user experience. You want to understand what HTTP latencies all of your users are experiencing. You use Stackdriver Monitoring. What should you do?

  • A. * In your application, create a metric with a metricKind. set toMETRlc_KIND_UNSPECIFIEDanda valueType set to INT64.* In Stackdriver's Metrics Explorer, use a Stacked Area graph to visualize the metric.
  • B. * In your application, create a metric with a metricKind set to CUMULATIVE and a valueType set to DOUBLE.* In Stackdriver's Metrics Explorer, use a Line graph to visualize the metric.
  • C. * In your application, create a metric with a metricKind set to DELTA and a valueType set to DOUBLE.* In Stackdriver's Metrics Explorer, use a Slacked Bar graph to visualize the metric.
  • D. * In your application, create a metric with a metricKind set to gauge and a valueType set to distribution.* In Stackdriver's Metrics Explorer, use a Heatmap graph to visualize the metric.

Answer: D


NEW QUESTION # 188
Your company is developing applications that are deployed on Google Kubernetes Engine (GKE). Each team manages a different application. You need to create the development and production environments for each team, while minimizing costs. Different teams should not be able to access other teams' environments. What should you do?

  • A. Create a Development and a Production GKE cluster in separate projects. In each cluster, create a Kubernetes namespace per team, and then configure Identity Aware Proxy so that each team can only access its own namespace.
  • B. Create one GCP Project per team. In each project, create a cluster for Development and one for Production. Grant the teams IAM access to their respective clusters.
  • C. Create one GCP Project per team. In each project, create a cluster with a Kubernetes namespace for Development and one for Production. Grant the teams IAM access to their respective clusters.
  • D. Create a Development and a Production GKE cluster in separate projects. In each cluster, create a Kubernetes namespace per team, and then configure Kubernetes Role-based access control (RBAC) so that each team can only access its own namespace.

Answer: D

Explanation:
Explanation
https://cloud.google.com/architecture/prep-kubernetes-engine-for-prod#roles_and_groups


NEW QUESTION # 189
Your applications performance in Google Cloud has degraded since the last release You suspect that downstream dependencies might be causing some requests to take longer to complete You need to investigate the issue with your application to determine the cause What should you do?

  • A. Configure Google Cloud Managed Service for Prometheus in your application
  • B. Configure Cloud Profiler in your application
  • C. Configure Cloud Trace in your application
  • D. Configure Error Reporting in your application

Answer: C

Explanation:
The best option for investigating the issue with your application's performance in Google Cloud is to configure Cloud Trace in your application. Cloud Trace is a service that allows you to collect and analyze latency data from your application. You can use Cloud Trace to trace requests across different components of your application, such as downstream dependencies, and identify where they take longer to complete. You can also use Cloud Trace to compare latency data across different versions of your application, and detect any performance degradation or improvement. By using Cloud Trace, you can diagnose and troubleshoot performance issues with your application in Google Cloud.


NEW QUESTION # 190
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Revised and updated according to the syllabus changes and all the latest developments in theory and practice, our Google Cloud Certified - Professional Cloud DevOps Engineer Exam dumps are highly relevant to what you actually need to get through the certifications tests. Moreover they impart you information in the format of Professional-Cloud-DevOps-Engineer Questions and answers that is actually the format of your real certification test. Hence not only you get the required knowledge but also find the opportunity to practice real exam scenario. For consolidation of your learning, our Google Cloud Certified - Professional Cloud DevOps Engineer Exam dumps PDF file also provide you sets of practice questions and answers. Doing them again and again, you enrich your knowledge and maximize chances of an outstanding exam success.

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