RELATED GOOGLE PROFESSIONAL-CLOUD-DEVOPS-ENGINEER CERTIFICATIONS, PROFESSIONAL-CLOUD-DEVOPS-ENGINEER STUDY MATERIALS

Related Google Professional-Cloud-DevOps-Engineer Certifications, Professional-Cloud-DevOps-Engineer Study Materials

Related Google Professional-Cloud-DevOps-Engineer Certifications, Professional-Cloud-DevOps-Engineer Study Materials

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Google Cloud Certified - Professional Cloud DevOps Engineer Exam Sample Questions (Q101-Q106):

NEW QUESTION # 101
You support a multi-region web service running on Google Kubernetes Engine (GKE) behind a Global HTTP'S Cloud Load Balancer (CLB). For legacy reasons, user requests first go through a third-party Content Delivery Network (CDN). which then routes traffic to the CLB. You have already implemented an availability Service Level Indicator (SLI) at the CLB level. However, you want to increase coverage in case of a potential load balancer misconfiguration. CDN failure, or other global networking catastrophe. Where should you measure this new SLI?
Choose 2 answers

  • A. A synthetic client that periodically sends simulated user requests
  • B. Metrics exported from the application servers
  • C. Instrumentation coded directly in the client
  • D. Your application servers' logs
  • E. GKE health checks for your application servers

Answer: A,C


NEW QUESTION # 102
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. Locate all the Pods with emptyDir volumes. use the df-h command to measure volume disk usage.
  • B. Check the node/ephemeral_storage/used_bytes metric by using Metrics Explorer.
  • C. Check the metric by using Metrics Explorer.
  • 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 # 103
You support a Node.js application running on Google Kubernetes Engine (GKE) in production. The application makes several HTTP requests to dependent applications. You want to anticipate which dependent applications might cause performance issues. What should you do?

  • A. Instrument all applications with Stackdriver Profiler.
  • B. Modify the Node.js application to log HTTP request and response times to dependent applications. Use Stackdriver Logging to find dependent applications that are performing poorly.
  • C. Use Stackdriver Debugger to review the execution of logic within each application to instrument all applications.
  • D. Instrument all applications with Stackdriver Trace and review inter-service HTTP requests.

Answer: D


NEW QUESTION # 104
Your application's 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 Cloud Trace in your application.
  • B. Configure Error Reporting in your application.
  • C. Configure Cloud Profiler in your application.
  • D. Configure Google Cloud Managed Service for Prometheus in your application.

Answer: A

Explanation:
Comprehensive and Detailed Explanation:
Google Cloud Trace is specifically designed to analyze request latency and identify performance bottlenecks across services. Since the issue is related to slow performance after a new release, the best approach is to use Cloud Trace to:
Visualize request latency across services
Pinpoint slow dependencies affecting response time
Analyze performance trends over time
#Why not other options?
B (Error Reporting)## Focuses on uncaught exceptions and crashes, not latency issues.
C (Cloud Profiler)## Helps with CPU and memory analysis, not request tracing.
D (Prometheus for Cloud Monitoring)## Useful for metrics collection, but not ideal for debugging specific request latency issues.
#Official Reference:
Google Cloud Trace Overview


NEW QUESTION # 105
Your company follows Site Reliability Engineering principles. You are writing a postmortem for an incident, triggered by a software change, that severely affected users. You want to prevent severe incidents from happening in the future. What should you do?

  • A. Ensure that test cases that catch errors of this type are run successfully before new software releases.
  • B. Design a policy that will require on-call teams to immediately call engineers and management to discuss a plan of action if an incident occurs.
  • C. Follow up with the employees who reviewed the changes and prescribe practices they should follow in the future.
  • D. Identify engineers responsible for the incident and escalate to their senior management.

Answer: A


NEW QUESTION # 106
......

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