PASS GUARANTEED QUIZ 2025 GOOGLE THE BEST PROFESSIONAL-CLOUD-DEVOPS-ENGINEER: GOOGLE CLOUD CERTIFIED - PROFESSIONAL CLOUD DEVOPS ENGINEER EXAM RELIABLE EXAM BOOK

Pass Guaranteed Quiz 2025 Google The Best Professional-Cloud-DevOps-Engineer: Google Cloud Certified - Professional Cloud DevOps Engineer Exam Reliable Exam Book

Pass Guaranteed Quiz 2025 Google The Best Professional-Cloud-DevOps-Engineer: Google Cloud Certified - Professional Cloud DevOps Engineer Exam Reliable Exam Book

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To be eligible for the exam, candidates should have at least 3 years of industry experience in software development, systems operations, or other relevant fields, and have a good understanding of cloud computing concepts and technologies. They should also have hands-on experience with GCP tools and services, including Compute Engine, Kubernetes Engine, Cloud Storage, Cloud SQL, Cloud Functions, and Stackdriver. Additionally, candidates should be familiar with DevOps methodologies and practices, such as Continuous Integration/Continuous Delivery (CI/CD), Infrastructure as Code (IaC), and Configuration Management. Google Cloud Certified - Professional Cloud DevOps Engineer Exam certification exam consists of multiple-choice questions, scenario-based questions, and performance-based tasks, and requires a passing score of 70% or higher.

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Google Cloud Certified - Professional Cloud DevOps Engineer Exam Sample Questions (Q59-Q64):

NEW QUESTION # 59
You manage an application that runs in Google Kubernetes Engine (GKE) and uses the blue/green deployment methodology Extracts of the Kubernetes manifests are shown below

The Deployment app-green was updated to use the new version of the application During post-deployment monitoring you notice that the majority of user requests are failing You did not observe this behavior in the testing environment You need to mitigate the incident impact on users and enable the developers to troubleshoot the issue What should you do?

  • A. Change the selector on the Service app-svc to app: my-app, version: blue
  • B. Update the Deployment app-blue to use the new version of the application
  • C. Change the selector on the Service app-2vc to app: my-app.
  • D. Update the Deployment ape-green to use the previous version of the application

Answer: A

Explanation:
Explanation
The best option for mitigating the incident impact on users and enabling the developers to troubleshoot the issue is to change the selector on the Service app-svc to app: my-app, version: blue. A Service is a resource that defines how to access a set of Pods. A selector is a field that specifies which Pods are selected by the Service. By changing the selector on the Service app-svc to app: my-app, version: blue, you can ensure that the Service only routes traffic to the Pods that have both labels app: my-app and version: blue. These Pods belong to the Deployment app-blue, which uses the previous version of the application. This way, you can mitigate the incident impact on users by switching back to the working version of the application. You can also enable the developers to troubleshoot the issue with the new version of the application in the Deployment app-green without affecting users.


NEW QUESTION # 60
Your company runs applications in Google Kubernetes Engine (GKE). Several applications rely on ephemeral volumes. You noticed some applications were unstable due to the DiskPressure node condition on the worker nodes. You need to identify which Pods are causing the issue, but you do not have execute access to workloads and nodes.
What should you do?

  • A. Check the metric by using Metrics Explorer.
  • B. Check the node/ephemeral_storage/used_bytes metric by using Metrics Explorer.
  • C. Locate all the Pods with emptyDir volumes. use the df-h command to measure volume disk usage.
  • D. Locate all the Pods with emptyDir volumes. Use the du -sh * command to measure volume disk usage.

Answer: B

Explanation:
The correct answer is A. Check the node/ephemeral_storage/used_bytes metric by using Metrics Explorer.
The node/ephemeral_storage/used_bytes metric reports the total amount of ephemeral storage used by Pods on each node1.You can use Metrics Explorer to query and visualize this metric and filter it by node name, namespace, or Pod name2. This way, you can identify which Pods are consuming the most ephemeral storage and causing disk pressure on the nodes. You do not need to have execute access to the workloads or nodes to use Metrics Explorer.
The other options are incorrect because they require execute access to the workloads or nodes, which you do not have.The df -h and du -sh * commands are Linux commands that can measure disk usage, but you need to run them inside the Pods or on the nodes, which is not possible in your scenario34.


NEW QUESTION # 61
You are using Stackdriver to monitor applications hosted on Google Cloud Platform (GCP). You recently deployed a new application, but its logs are not appearing on the Stackdriver dashboard.
You need to troubleshoot the issue. What should you do?

  • A. Confirm that the application is using the required client library and the service account key has proper permissions.
  • B. Confirm that port 25 has been opened in the firewall to allow messages through to Stackdriver.
  • C. Confirm that your account has the proper permissions to use the Stackdriver dashboard.
  • D. Confirm that the Stackdriver agent has been installed in the hosting virtual machine.

Answer: C


NEW QUESTION # 62
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 Pub/Sub to trigger a Spinnaker pipeline.
  • B. Use Cloud Build to trigger a Spinnaker pipeline.
  • C. Use a custom builder in Cloud Build to trigger a Jenkins pipeline.
  • D. Use Cloud Pub/Sub to trigger a custom deployment service running in Google Kubernetes Engine (GKE).

Answer: A

Explanation:
https://cloud.google.com/architecture/continuous-delivery-toolchain-spinnaker-cloud
https://spinnaker.io/guides/user/pipeline/triggers/pubsub/
The most efficient way to build an automated pipeline that deploys the application when the image is updated is to use Cloud Pub/Sub to trigger a Spinnaker pipeline. This way, you can leverage the built-in integration between GCR and Cloud Pub/Sub, and use Spinnaker as a continuous delivery platform for deploying your application .


NEW QUESTION # 63
Your company operates in a highly regulated domain. Your security team requires that only trusted container images can be deployed to Google Kubernetes Engine (GKE). You need to implement a solution that meets the requirements of the security team, while minimizing management overhead. What should you do?

  • A. Configure Binary Authorization in your GKE clusters to enforce deploy-time security policies
  • B. Configure Kritis to run in your GKE clusters to enforce deploy-time security policies.
  • C. Use Cloud Run to write and deploy a custom validator Enable an Eventarc trigger to perform validations when new images are uploaded.
  • D. Grant the roles/artifactregistry. writer role to the Cloud Build service account. Confirm that no employee has Artifact Registry write permission.

Answer: A


NEW QUESTION # 64
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