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The Professional-Cloud-DevOps-Engineer certification exam assesses a candidate's proficiency in various areas, including designing and implementing continuous delivery pipelines, configuring infrastructure automation, monitoring, and logging systems, and managing and deploying services using container technology. The exam is intended for professionals who have experience in DevOps practices, software development, and system administration.

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The Google Professional-Cloud-DevOps-Engineer certification exam is a challenging exam that requires candidates to have a deep understanding of GCP services and tools. The exam consists of multiple-choice and multiple-select questions, and candidates are required to answer the questions within a specific time frame. The certification exam is administered by Google, and candidates must achieve a passing score to earn the certification.

Google Cloud Certified - Professional Cloud DevOps Engineer Exam Sample Questions (Q26-Q31):

You support an application running on GCP and want to configure SMS notifications to your team for the most critical alerts in Stackdriver Monitoring. You have already identified the alerting policies you want to configure this for. What should you do?

  • A. Select the Webhook notifications option for each alerting policy, and configure it to use a third-party integration tool. Ensure that your team members add their SMS/phone numbers to the external tool.
  • B. Download and configure a third-party integration between Stackdriver Monitoring and an SMS gateway.
    Ensure that your team members add their SMS/phone numbers to the external tool.
  • C. Configure a Slack notification for each alerting policy. Set up a Slack-to-SMS integration to send SMS messages when Slack messages are received. Ensure that your team members add their SMS/phone numbers to the external integration.
  • D. Ensure that your team members set their SMS/phone numbers in their Stackdriver Profile. Select the SMS notification option for each alerting policy and then select the appropriate SMS/phone numbers from the list.

Answer: C

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. Your application servers' logs
  • C. GKE health checks for your application servers
  • D. Metrics exported from the application servers
  • E. Instrumentation coded directly in the client

Answer: A,C

You have a set of applications running on a Google Kubernetes Engine (GKE) cluster, and you are using Stackdriver Kubernetes Engine Monitoring. You are bringing a new containerized application required by your company into production. This application is written by a third party and cannot be modified or reconfigured. The application writes its log information to /var/log/app_messages.log, and you want to send these log entries to Stackdriver Logging. What should you do?

  • A. Install Kubernetes on Google Compute Engine (GCE> and redeploy your applications. Then customize the built-in Stackdriver Logging configuration to tail the log file in the application's pods and write to Stackdriver Logging.
  • B. Use the default Stackdriver Kubernetes Engine Monitoring agent configuration.
  • C. Deploy a Fluentd daemonset to GKE. Then create a customized input and output configuration to tail the log file in the application's pods and write to Slackdriver Logging.
  • D. Write a script to tail the log file within the pod and write entries to standard output. Run the script as a sidecar container with the application's pod. Configure a shared volume between the containers to allow the script to have read access to /var/log in the application container.

Answer: C

https://cloud.google.com/architecture/customizing-stackdriver-logs-fluentd Besides the list of default logs that the Logging agent streams by default, you can customize the Logging agent to send additional logs to Logging or to adjust agent settings by adding input configurations. The configuration definitions in these sections apply to the fluent-plugin-google-cloud output plugin only and specify how logs are transformed and ingested into Cloud Logging. https://cloud.google.com/logging/docs/agent/logging/configuration#configure

You support an application deployed on Compute Engine. The application connects to a Cloud SQL instance to store and retrieve dat a. After an update to the application, users report errors showing database timeout messages. The number of concurrent active users remained stable. You need to find the most probable cause of the database timeout. What should you do?

  • A. Check the serial port logs of the Compute Engine instance.
  • B. Determine whether there is an increased number of connections to the Cloud SQL instance.
  • C. Use Cloud Security Scanner to see whether your Cloud SQL is under a Distributed Denial of Service (DDoS) attack.
  • D. Use Stackdriver Profiler to visualize the resources utilization throughout the application.

Answer: B

Your application images are built using Cloud Build and pushed to Google Container Registry (GCR). You want to be able to specify a particular version of your application for deployment based on the release version tagged in source control. What should you do when you push the image?

  • A. Reference the image digest in the source control tag.
  • B. Use Cloud Build to include the release version tag in the application image.
  • C. Use GCR digest versioning to match the image to the tag in source control.
  • D. Supply the source control tag as a parameter within the image name.

Answer: D


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