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Professional-Cloud-DevOps-Engineer Exam Dumps - Google Cloud DevOps Engineer Questions and Answers

Question # 44

You support a web application that is hosted on Compute Engine. The application provides a booking service for thousands of users. Shortly after the release of a new feature, your monitoring dashboard shows that all users are experiencing latency at login. You want to mitigate the impact of the incident on the users of your service. What should you do first?

Options:

A.

Roll back the recent release.

B.

Review the Stackdriver monitoring.

C.

Upsize the virtual machines running the login services.

D.

Deploy a new release to see whether it fixes the problem.

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Question # 45

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?

Options:

A.

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.

B.

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.

C.

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.

D.

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.

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Question # 46

Your team deploys applications to three Google Kubernetes Engine (GKE) environments development staging and production You use GitHub reposrtones as your source of truth You need to ensure that the three environments are consistent You want to follow Google-recommended practices to enforce and install network policies and a logging DaemonSet on all the GKE clusters in those environments What should you do?

Options:

A.

Use Google Cloud Deploy to deploy the network policies and the DaemonSet Use Cloud Monitoring to trigger an alert if the network policies and DaemonSet drift from your source in the repository.

B.

Use Google Cloud Deploy to deploy the DaemonSet and use Policy Controller to configure the network policies Use Cloud Monitoring to detect drifts from the source in the repository and Cloud Functions tocorrect the drifts

C.

Use Cloud Build to render and deploy the network policies and the DaemonSet Set up Config Sync to sync the configurations for the three environments

D.

Use Cloud Build to render and deploy the network policies and the DaemonSet Set up a Policy Controller to enforce the configurations for the three environments

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Question # 47

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?

Options:

A.

Check the node/ephemeral_storage/used_bytes metric by using Metrics Explorer.

B.

Check the 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.

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Question # 48

Your company is developing applications that are deployed on Google Kubernetes Engine (GKE). Each team manages a different application. You need to create the development and production environments for each team, while minimizing costs. Different teams should not be able to access other teams’ environments. What should you do?

Options:

A.

Create one GCP Project per team. In each project, create a cluster for Development and one for Production. Grant the teams IAM access to their respective clusters.

B.

Create one GCP Project per team. In each project, create a cluster with a Kubernetes namespace for Development and one for Production. Grant the teams IAM access to their respective clusters.

C.

Create a Development and a Production GKE cluster in separate projects. In each cluster, create a Kubernetes namespace per team, and then configure Identity Aware Proxy so that each team can only access its own namespace.

D.

Create a Development and a Production GKE cluster in separate projects. In each cluster, create a Kubernetes namespace per team, and then configure Kubernetes Role-based access control (RBAC) so that each team can only access its own namespace.

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Question # 49

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?

Options:

A.

Add the Logs Writer role to the service account.

B.

Enable Private Google Access on the subnet that the instance is in.

C.

Update the instance to use the default Compute Engine service account.

D.

Export the service account key and configure the agents to use the key.

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Question # 50

Your applications 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?

Options:

A.

Configure Error Reporting in your application

B.

Configure Google Cloud Managed Service for Prometheus in your application

C.

Configure Cloud Profiler in your application

D.

Configure Cloud Trace in your application

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Question # 51

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?

Options:

A.

Instrument all applications with Stackdriver Profiler.

B.

Instrument all applications with Stackdriver Trace and review inter-service HTTP requests.

C.

Use Stackdriver Debugger to review the execution of logic within each application to instrument all applications.

D.

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.

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Question # 52

You manage a retail website for your company. The website consists of several microservices running in a GKE Standard node pool with node autoscaling enabled. Each microservice has resource limits and a Horizontal Pod Autoscaler configured. During a busy period, you receive alerts for one of the microservices. When you check the Pods, half of them have the status OOMKilled, and the number of Pods is at the minimum autoscaling limit. You need to resolve the issue. What should you do?

Options:

A.

Increase the memory resource limit of the microservice.

B.

Increase the maximum number of nodes in the node pool.

C.

Increase the maximum replica limit of the Horizontal Pod Autoscaler.

D.

Update the node pool to use a machine type with more memory.

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Question # 53

You need to deploy a new service to production. The service needs to automatically scale using a Managed Instance Group (MIG) and should be deployed over multiple regions. The service needs a large number of resources for each instance and you need to plan for capacity. What should you do?

Options:

A.

Use the n2-highcpu-96 machine type in the configuration of the MIG.

B.

Monitor results of Stackdriver Trace to determine the required amount of resources.

C.

Validate that the resource requirements are within the available quota limits of each region.

D.

Deploy the service in one region and use a global load balancer to route traffic to this region.

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Exam Name: Google Cloud Certified - Professional Cloud DevOps Engineer Exam
Last Update: Jun 15, 2025
Questions: 194
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