PASS GUARANTEED QUIZ 2025 PROFESSIONAL-CLOUD-DEVOPS-ENGINEER: GOOGLE CLOUD CERTIFIED - PROFESSIONAL CLOUD DEVOPS ENGINEER EXAM ACCURATE EXAM LEARNING

Pass Guaranteed Quiz 2025 Professional-Cloud-DevOps-Engineer: Google Cloud Certified - Professional Cloud DevOps Engineer Exam Accurate Exam Learning

Pass Guaranteed Quiz 2025 Professional-Cloud-DevOps-Engineer: Google Cloud Certified - Professional Cloud DevOps Engineer Exam Accurate Exam Learning

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Google Professional-Cloud-DevOps-Engineer (Google Cloud Certified - Professional Cloud DevOps Engineer) Certification Exam is a highly sought-after certification for professionals in the field of Cloud DevOps engineering. Google Cloud Certified - Professional Cloud DevOps Engineer Exam certification is offered by Google Cloud and is designed to validate the skills and expertise of individuals in deploying, monitoring, and managing applications on the Google Cloud platform.

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Google Cloud Certified - Professional Cloud DevOps Engineer Exam Sample Questions (Q125-Q130):

NEW QUESTION # 125
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. Locate all the Pods with emptyDir volumes. Use the du -sh * command to measure volume disk usage.
  • C. Check the node/ephemeral_storage/used_bytes metric by using Metrics Explorer.
  • D. Locate all the Pods with emptyDir volumes. use the df-h command to measure volume disk usage.

Answer: C


NEW QUESTION # 126
You support a high-traffic web application with a microservice architecture. The home page of the application displays multiple widgets containing content such as the current weather, stock prices, and news headlines. The main serving thread makes a call to a dedicated microservice for each widget and then lays out the homepage for the user. The microservices occasionally fail; when that happens, the serving thread serves the homepage with some missing content. Users of the application are unhappy if this degraded mode occurs too frequently, but they would rather have some content served instead of no content at all. You want to set a Service Level Objective (SLO) to ensure that the user experience does not degrade too much. What Service Level Indicator {SLI) should you use to measure this?

  • A. A freshness SLI: the proportion of widgets that have been updated within the last 10 minutes
  • B. A quality SLI: the ratio of non-degraded responses to total responses
  • C. A latency SLI: the ratio of microservice calls that complete in under 100 ms to the total number of microservice calls
  • D. An availability SLI: the ratio of healthy microservices to the total number of microservices

Answer: C


NEW QUESTION # 127
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 port 25 has been opened in the firewall to allow messages through to Stackdriver.
  • B. Confirm that the application is using the required client library and the service account key has proper permissions.
  • 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: D

Explanation:
Explanation
https://cloud.google.com/monitoring/agent/monitoring/troubleshooting#checklist


NEW QUESTION # 128
You are designing a deployment technique for your applications on Google Cloud. As part Of your deployment planning, you want to use live traffic to gather performance metrics for new versions Of your applications. You need to test against the full production load before your applications are launched. What should you do?

  • A. Use A/B testing with blue/green deployment.
  • B. Use canary testing with continuous deployment.
  • C. Use shadow testing with continuous deployment.
  • D. Use canary testing with rolling updates deployment,

Answer: C

Explanation:
The correct answer is B, Use shadow testing with continuous deployment.
Shadow testing is a deployment technique that involves routing a copy of the live traffic to a new version of the application, without affecting the production environment. This way, you can gather performance metrics and compare them with the current version, without exposing the new version to the users. Shadow testing can help you test against the full production load and identify any issues or bottlenecks before launching the new version. You can use continuous deployment to automate the process of deploying the new version after it passes the shadow testing.
Reference:
Application deployment and testing strategies, Testing strategies, Shadow test pattern.


NEW QUESTION # 129
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 workload metrics within Cloud Operations for GKE
  • B. Configure Prometheus hierarchical federation for centralized data access
  • C. Configure Google Cloud Managed Service for Prometheus
  • D. Configure Prometheus cross-service federation for centralized data access

Answer: C

Explanation:
The best option for implementing a scalable solution to support global Prometheus querying and minimize management overhead is to use Google Cloud Managed Service for Prometheus. Google Cloud Managed Service for Prometheus is a fully managed service that allows you to collect, query, and visualize metrics from your GKE clusters using Prometheus-based tooling. You can use Google Cloud Managed Service for Prometheus to query metrics across multiple clusters and regions using a global view. You can also use Google Cloud Managed Service for Prometheus to integrate with other Google Cloud services, such as Cloud Monitoring, Cloud Logging, and BigQuery. By using Google Cloud ManagedService for Prometheus, you can avoid managing and scaling your own Prometheus servers and focus on your application performance.


NEW QUESTION # 130
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