[2026] Google Cloud Certified - Professional Cloud DevOps Engineer - Professional-Cloud-DevOps-Engineer 무료 시험 문제

문제1

You manage applications deployed on Google Kubernetes Engine (GKE) clusters across multiple Google Cloud projects. You require a centralized and scalable solution to collect and query Prometheus metrics from these clusters by using a flexible query language. You want to follow Google-recommended practices. What should you do?

A. Install Prometheus server on an admin cluster with cluster autoscaler enabled, and expose the Prometheus endpoint for queries.

B. Deploy a Prometheus server as a sidecar to your applications on each cluster, and run queries in Cloud Monitoring.

C. Configure Google Cloud Managed Service for Prometheus with managed collection, and run queries in Metrics Explorer.

D. Configure the Ops Agent to collect metrics, and run queries in Metrics Explorer.

정답: C

설명: (Fast2test 회원만 볼 수 있음)

문제2

You support a high-traffic web application and want to ensure that the home page loads in a timely manner.
As a first step, you decide to implement a Service Level Indicator (SLI) to represent home page request latency with an acceptable page load time set to 100 ms. What is the Google-recommended way of calculating this SLI?

A. Count the number of home page requests that load in under 100 ms. and then divide by the total number of all web application requests.

B. Bucketize the request latencies into ranges, and then compute the median and 90th percentiles.

C. Count the number of home page requests that load in under 100 ms, and then divide by the total number of home page requests.

D. Buckelize Ihe request latencies into ranges, and then compute the percentile at 100 ms.

정답: C

설명: (Fast2test 회원만 볼 수 있음)

문제3

You support an e-commerce application that runs on a large Google Kubernetes Engine (GKE) cluster deployed on-premises and on Google Cloud Platform. The application consists of microservices that run in containers. You want to identify containers that are using the most CPU and memory. What should you do?

A. Use Stackdriver Kubernetes Engine Monitoring.

B. Use Stackdriver Logging to export application logs to BigOuery. aggregate logs per container, and then analyze CPU and memory consumption.

C. Use the Stackdriver Monitoring API to create custom metrics, and then organize your containers using groups.

D. Use Prometheus to collect and aggregate logs per container, and then analyze the results in Grafana.

정답: A

설명: (Fast2test 회원만 볼 수 있음)

문제4

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 Google Cloud Managed Service for Prometheus

B. Configure Prometheus cross-service federation for centralized data access

C. Configure Prometheus hierarchical federation for centralized data access

D. Configure workload metrics within Cloud Operations for GKE

정답: A

설명: (Fast2test 회원만 볼 수 있음)

문제5

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. 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.

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

C. Instrument all applications with Stackdriver Profiler.

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

정답: D

문제6

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?

A. Review the Stackdriver monitoring.

B. Upsize the virtual machines running the login services.

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

D. Roll back the recent release.

정답: B

설명: (Fast2test 회원만 볼 수 있음)

문제7

You are deploying an application to Cloud Run. The application requires a password to start. Your organization requires that all passwords are rotated every 24 hours, and your application must have the latest password. You need to deploy the application with no downtime. What should you do?

A. Store the password directly in the code. Use Cloud Build to rebuild and deploy the application each time the password changes.

B. Store the password in Secret Manager and mount the secret as a volume within the application.

C. Use Cloud Build to add your password into the application container at build time. Ensure that Artifact Registry is secured from public access.

D. Store the password in Secret Manager and send the secret to the application by using environment variables.

정답: B

설명: (Fast2test 회원만 볼 수 있음)

문제8

Your company's security team needs to have read-only access to Data Access audit logs in the _Required bucket You want to provide your security team with the necessary permissions following the principle of least privilege and Google-recommended practices. What should you do?

A. Assign the roles/logging, viewer role to each member of the security team

B. Assign the roles/logging.privateLogViewer role to each member of the security team

C. Assign the roles/logging. viewer role to a group with all the security team members

D. Assign the roles/logging.privateLogviewer role to a group with all the security team members

정답: D

설명: (Fast2test 회원만 볼 수 있음)

문제9

Your company has recently experienced several production service issues. You need to create a Cloud Monitoring dashboard to troubleshoot the issues, and you want to use the dashboard to distinguish between failures in your own service and those caused by a Google Cloud service that you use. What should you do?

A. Create a logs widget to display system errors from Cloud Logging on the dashboard.

B. Create an alerting policy for the system error metrics.

C. Create a log-based metric to track cloud service errors, and display the metric on the dashboard.

D. Enable Personalized Service Health annotations on the dashboard.

정답: D

설명: (Fast2test 회원만 볼 수 있음)

문제10

You use Cloud Build to build and deploy your application. You want to securely incorporate database credentials and other application secrets into the build pipeline. You also want to minimize the development effort. What should you do?

A. Use Cloud Key Management Service (Cloud KMS) to encrypt the secrets and include them in your Cloud Build deployment configuration. Grant Cloud Build access to the KeyRing.

B. Encrypt the secrets and store them in the application repository. Store a decryption key in a separate repository and grant Cloud Build access to the repository.

C. Use client-side encryption to encrypt the secrets and store them in a Cloud Storage bucket. Store a decryption key in the bucket and grant Cloud Build access to the bucket.

D. Create a Cloud Storage bucket and use the built-in encryption at rest. Store the secrets in the bucket and grant Cloud Build access to the bucket.

정답: A

설명: (Fast2test 회원만 볼 수 있음)

문제11

You are using Jenkins to orchestrate your CI/CD pipelines deploying your applications to GKE and on- premises VMs. After expanding your on-premises infrastructure, all resource utilization is normal, but you notice that initiating on-premises deployments is taking longer than expected. You need to accelerate the initiation of on-premises deployments. What should you do?

A. Configure Jenkins to use an artifact repository in your on-premises environment.

B. Implement a blue-green deployment strategy for your on-premises VMs.

C. Increase the number of Jenkins executor threads.

D. Upgrade your on-premises VMs to have faster CPUs and more memory.

정답: A

설명: (Fast2test 회원만 볼 수 있음)

문제12

Your company stores a large volume of infrequently used data in Cloud Storage. The projects in your company's CustomerService folder access Cloud Storage frequently, but store very little data. You want to enable Data Access audit logging across the company to identify data usage patterns. You need to exclude the CustomerService folder projects from Data Access audit logging. What should you do?

A. Enable Data Access audit logging for Cloud Storage at the organization level, and configure exempted principals to include users of the CustomerService folder.

B. Enable Data Access audit logging for Cloud Storage for all projects and folders, and configure exempted principals to include users of the CustomerService folder.

C. Enable Data Access audit logging for Cloud Storage at the organization level, with no additional configuration.

D. Enable Data Access audit logging for Cloud Storage for all projects and folders other than the CustomerService folder.

정답: A

설명: (Fast2test 회원만 볼 수 있음)

Google Cloud Certified - Professional Cloud DevOps Engineer - Professional-Cloud-DevOps-Engineer무료 덤프문제 풀어보기

우리와 연락하기

유용한 링크

최신 업데이트