PROFESSIONAL-CLOUD-DEVOPS-ENGINEER VALID TEST EXPERIENCE | TEST PROFESSIONAL-CLOUD-DEVOPS-ENGINEER SCORE REPORT

Professional-Cloud-DevOps-Engineer Valid Test Experience | Test Professional-Cloud-DevOps-Engineer Score Report

Professional-Cloud-DevOps-Engineer Valid Test Experience | Test Professional-Cloud-DevOps-Engineer Score Report

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Google Professional-Cloud-DevOps-Engineer Certification is a highly esteemed certification program for professionals seeking to validate their expertise in cloud-based DevOps engineering. It is designed to test the knowledge and skills required to deploy, manage, and monitor secure, scalable, and highly available cloud-based infrastructure and applications.

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Google Professional-Cloud-DevOps-Engineer Desktop-Based Practice Exam Software

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Test Structure

The candidates who want to take this Google exam will have two hours to answer all questions. Even though the vendor doesn’t give details on the total number of questions that the examinees will receive, they should be prepared to solve multiple-choice and multiple-answer inquiries. Besides, the test is delivered in the English language only. As for the registration fee, the test-takers will need to pay $200 to take it. Additional taxes may apply depending on the candidate’s profile and chosen delivery method. By and large, the applicants have two options to take the official exam. They can choose to take it online from any remote location that they prefer. If they choose this option, the candidates should read carefully what the testing requirements are. In case applicants prefer to be present in a classroom when they take the actual testing, then they can search for a test center that is closest to their location. Also, Google doesn’t have any prerequisites for the candidates to be eligible for the evaluation. Still, it recommends that the candidates for the Professional Cloud DevOps Engineer exam should have at least 3 years of experience in the industry including a minimum of one year of experience in managing and developing solutions on GCP.

Google Cloud Certified - Professional Cloud DevOps Engineer Exam Sample Questions (Q120-Q125):

NEW QUESTION # 120
Your team of Infrastructure DevOps Engineers is growing, and you are starting to use Terraform to manage infrastructure. You need a way to implement code versioning and to share code with other team members.
What should you do?

  • A. Store the Terraform code in a shared Google Drive folder so it syncs automatically to every team member's computer. Organize files with a naming convention that identifies each new version.
  • B. Store the Terraform code in a network shared folder with child folders for each version release. Ensure that everyone works on different files.
  • C. Store the Terraform code in a Cloud Storage bucket using object versioning. Give access to the bucket to every team member so they can download the files.
  • D. Store the Terraform code in a version-control system. Establish procedures for pushing new versions and merging with the master.

Answer: D

Explanation:
https://www.terraform.io/docs/cloud/guides/recommended-practices/part3.3.html


NEW QUESTION # 121
You support the backend of a mobile phone game that runs on a Google Kubernetes Engine (GKE) cluster. The application is serving HTTP requests from users. You need to implement a solution that will reduce the network cost. What should you do?

  • A. Configure your network services on the Standard Tier.
  • B. Configure a Google Cloud HTTP Load Balancer as Ingress.
  • C. Configure your Kubernetes duster as a Private Cluster.
  • D. Configure the VPC as a Shared VPC Host project.

Answer: C


NEW QUESTION # 122
Your application services run in Google Kubernetes Engine (GKE). You want to make sure that only images from your centrally-managed Google Container Registry (GCR) image registry in the altostrat-images project can be deployed to the cluster while minimizing development time. What should you do?

  • A. Add logic to the deployment pipeline to check that all manifests contain only images from gcr.io/altostrat- images.
  • B. Create a custom builder for Cloud Build that will only push images to gcr.io/altostrat-images.
  • C. Use a Binary Authorization policy that includes the whitelist name pattern gcr.io/altostrat-images/.
  • D. Add a tag to each image in gcr.io/altostrat-images and check that this tag is present when the image is deployed.

Answer: D


NEW QUESTION # 123
You are running an experiment to see whether your users like a new feature of a web application. Shortly after deploying the feature as a canary release, you receive a spike in the number of 500 errors sent to users, and your monitoring reports show increased latency. You want to quickly minimize the negative impact on users.
What should you do first?

  • A. Trace the origin of 500 errors and the root cause of increased latency.
  • B. Record data for the postmortem document of the incident.
  • C. Start monitoring latency, traffic, errors, and saturation.
  • D. Roll back the experimental canary release.

Answer: D


NEW QUESTION # 124
You are configuring connectivity across Google Kubernetes Engine (GKE) clusters in different VPCs You notice that the nodes in Cluster A are unable to access the nodes in Cluster B You suspect that the workload access issue is due to the network configuration You need to troubleshoot the issue but do not have execute access to workloads and nodes You want to identify the layer at which the network connectivity is broken What should you do?

  • A. Use Network Connectivity Center to perform a Connectivity Test from Cluster A to Cluster
  • B. Use a debug container to run the traceroute command from Cluster A to Cluster B and from Cluster B to Cluster A Identify the common failure point
  • C. Install a toolbox container on the node in Cluster A Confirm that the routes to Cluster B are configured appropriately
  • D. Enable VPC Flow Logs in both VPCs and monitor packet drops

Answer: B

Explanation:
The best option for troubleshooting the issue without having execute access to workloads and nodes is to use Network Connectivity Center to perform a Connectivity Test from Cluster A to Cluster B. Network Connectivity Center is a service that allows you to create, manage, and monitor network connectivity across Google Cloud, hybrid, and multi-cloud environments. You can use Network Connectivity Center to perform a Connectivity Test, which is a feature that allows you to test the reachability and latency between two endpoints, such as GKE clusters, VM instances, or IP addresses. By using Network Connectivity Center to perform a Connectivity Test from Cluster A to Cluster B, you can identify the layer at which the network connectivity is broken, such as the firewall, routing, or load balancing.


NEW QUESTION # 125
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