LATEST PROFESSIONAL-CLOUD-DEVOPS-ENGINEER EXAM PATTERN, PROFESSIONAL-CLOUD-DEVOPS-ENGINEER VALUABLE FEEDBACK

Latest Professional-Cloud-DevOps-Engineer Exam Pattern, Professional-Cloud-DevOps-Engineer Valuable Feedback

Latest Professional-Cloud-DevOps-Engineer Exam Pattern, Professional-Cloud-DevOps-Engineer Valuable Feedback

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Google Professional-Cloud-DevOps-Engineer certification exam is designed for professionals who want to demonstrate their expertise in using Google Cloud Platform to build and deploy highly scalable and reliable applications. Google Cloud Certified - Professional Cloud DevOps Engineer Exam certification is ideal for DevOps engineers, site reliability engineers, and other IT professionals who are responsible for managing and deploying software applications in the cloud. Professional-Cloud-DevOps-Engineer Exam Tests your knowledge of various cloud technologies, tools, and best practices that are essential for DevOps professionals to master.

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Google Cloud Certified - Professional Cloud DevOps Engineer Exam Sample Questions (Q168-Q173):

NEW QUESTION # 168
You have a CI/CD pipeline that uses Cloud Build to build new Docker images and push them to Docker Hub. You use Git for code versioning. After making a change in the Cloud Build YAML configuration, you notice that no new artifacts are being built by the pipeline. You need to resolve the issue following Site Reliability Engineering practices. What should you do?

  • A. Disable the CI pipeline and revert to manually building and pushing the artifacts.
  • B. Upload the configuration YAML file to Cloud Storage and use Error Reporting to identify and fix the issue.
  • C. Run a Git compare between the previous and current Cloud Build Configuration files to find and fix the bug.
  • D. Change the CI pipeline to push the artifacts to Container Registry instead of Docker Hub.

Answer: A


NEW QUESTION # 169
Your team has recently deployed an NGINX-based application into Google Kubernetes Engine (GKE) and has exposed it to the public via an HTTP Google Cloud Load Balancer (GCLB) ingress. You want to scale the deployment of the application's frontend using an appropriate Service Level Indicator (SLI). What should you do?

  • A. Install the Stackdriver custom metrics adapter and configure a horizontal pod autoscaler to use the number of requests provided by the GCLB.
  • B. Configure the vertical pod autoscaler in GKE and enable the cluster autoscaler to scale the cluster as pods expand.
  • C. Configure the horizontal pod autoscaler to use the average response time from the Liveness and Readiness probes.
  • D. Expose the NGINX stats endpoint and configure the horizontal pod autoscaler to use the request metrics exposed by the NGINX deployment.

Answer: D


NEW QUESTION # 170
Your company runs services by using multiple globally distributed Google Kubernetes Engine (GKE) clusters Your operations team has set up workload monitoring that uses Prometheus-based tooling for metrics alerts: and generating dashboards This setup does not provide a method to view metrics globally across all clusters You need to implement a scalable solution to support global Prometheus querying and minimize management overhead What should you do?

  • A. Configure Prometheus hierarchical federation for centralized data access
  • B. Configure Google Cloud Managed Service for Prometheus
  • C. Configure Prometheus cross-service federation for centralized data access
  • D. Configure workload metrics within Cloud Operations for GKE

Answer: B


NEW QUESTION # 171
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. Update the Deployment ape-green to use the previous version of the application
  • B. Update the Deployment app-blue to use the new version of the application
  • C. Change the selector on the Service app-svc to app: my-app, version: blue
  • D. Change the selector on the Service app-2vc to app: my-app.

Answer: D

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 # 172
You are configuring Cloud Logging for a new application that runs on a Compute Engine instance with a public IP address. A user-managed service account is attached to the instance. You confirmed that the necessary agents are running on the instance but you cannot see any log entries from the instance in Cloud Logging. You want to resolve the issue by following Google-recommended practices. What should you do?

  • A. Update the instance to use the default Compute Engine service account.
  • B. Export the service account key and configure the agents to use the key.
  • C. Enable Private Google Access on the subnet that the instance is in.
  • D. Add the Logs Writer role to the service account.

Answer: D

Explanation:
Explanation
The correct answer is A. Add the Logs Writer role to the service account.
To use Cloud Logging, the service account attached to the Compute Engine instance must have the necessary permissions to write log entries. The Logs Writer role (roles/logging.logWriter) provides this permission. You can grant this role to the user-managed service account at the project, folder, or organization level1.
Private Google Access is not required for Cloud Logging, as it allows instances without external IP addresses to access Google APIs and services2. The default Compute Engine service account already has the Logs Writer role, but it is not a recommended practice to use it for user applications3. Exporting the service account key and configuring the agents to use the key is not a secure way of authenticating the service account, as it exposes the key to potential compromise4.
References:
1: Access control with IAM | Cloud Logging | Google Cloud
2: Private Google Access overview | VPC | Google Cloud
3: Service accounts | Compute Engine Documentation | Google Cloud
4: Best practices for securing service accounts | IAM Documentation | Google Cloud


NEW QUESTION # 173
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