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Professional-Cloud-DevOps-Engineer인증시험대비자료 & Professional-Cloud-DevOps-Engineer최고품질덤프샘플문제

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Google Professional-Cloud-Devops-Engineer는 클라우드 기술을 DevOps 관행과 효과적으로 통합하고 관리 할 수있는 개인의 능력을 테스트하도록 설계된 인증 시험입니다. 이 인증은 소프트웨어 개발, 인프라 관리 및 운영에 대한 강력한 배경 지식을 가진 클라우드 전문가를위한 것입니다.

시험을 준비하기 위해, 후보자들은 구글 클라우드에서 제공하는 다양한 자원을 활용할 수 있습니다. 예를 들어, 온라인 강좌, 모의 시험 및 학습 안내서 등이 있습니다. 또한, 후보자들은 구글 클라우드 프로젝트에 참여하고 온라인 포럼 및 커뮤니티에 참여하여 경험을 쌓을 수 있습니다.

Google Professional-Cloud-Devops-Engineer 인증을 받으려면 클라우드 컴퓨팅, 자동화 및 지속적인 배송과 관련된 광범위한 주제를 다루는 엄격한 시험을 통과해야합니다. 이 시험은 객관식 질문으로 구성되며 Google 클라우드 플랫폼을 사용하여 클라우드 기반 솔루션을 설계, 구현 및 관리하는 기능을 평가하도록 설계되었습니다. 이 시험은 또한 Docker, Kubernetes, Ansible 및 Jenkins와 같은 다양한 DevOps 도구 및 방법론에 대한 이해를 테스트합니다. 이 시험을 통과하면 Google Cloud 플랫폼을 사용하여 확장 가능하고 신뢰할 수있는 애플리케이션을 구축하고 배포하고 Cloud DevOps 엔지니어링의 공인 전문가로 인정받을 수 있습니다.

>> Professional-Cloud-DevOps-Engineer인증시험대비자료 <<

Professional-Cloud-DevOps-Engineer최고품질 덤프샘플문제, Professional-Cloud-DevOps-Engineer퍼펙트 최신버전 자료

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최신 Cloud DevOps Engineer Professional-Cloud-DevOps-Engineer 무료샘플문제 (Q135-Q140):

질문 # 135
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. Check the node/ephemeral_storage/used_bytes metric by using Metrics Explorer.
C. Locate all the Pods with emptyDir volumes. Use the du -sh * command to measure volume disk usage.
D. Locate all the Pods with emptyDir volumes. use the df-h command to measure volume disk usage.

정답：B

설명：
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.
Reference:
Monitoring metrics for Kubernetes system components, Node metrics, node/ephemeral_storage/used_bytes.
Using Metrics Explorer, Querying metrics.How do I find out disk space utilization information using Linux command line?, df command.How to check disk space in Linux from the command line, du command.

질문 # 136
Your company uses a CI/CD pipeline with Cloud Build and Artifact Registry to deploy container images to Google Kubernetes Engine (GKE). Images are tagged with the latest commit hash and promoted to production after successful testing in the development and pre-production environments. A recent production deployment caused the application to fail due to untested integration functionality, requiring a disruptive manual rollback.
During the rollback, you noticed many old and unused container images accumulating in Artifact Registry.
You need to improve rollout and rollback management and clean up the old container images. What should you do?

A. Adopt Cloud Deploy for managing deployments, and schedule a Cloud Build job for container image cleanup.
B. Deploy Cloud Service Mesh across the GKE clusters, and manually clean up Artifact Registry images.
C. Adopt Cloud Deploy for managing deployments, and implement an Artifact Registry cleanup policy.
D. Set up a rollback pipeline in Cloud Build, and implement an Artifact Registry cleanup policy.

정답：C

설명：
Comprehensive and Detailed Explanation:
Cloud Deploy is a GCP-native managed CI/CD tool for reliable and automated releases across environments.
Artifact Registry Cleanup Policy automates image retention and deletion of old images, reducing storage costs and avoiding clutter.
Rollback and rollback policies should be handled by Cloud Deploy, not manual interventions.
#Why not other options?
A## Cloud Build jobs for cleanup are not scalable or automated compared to Artifact Registry policies.
B## Cloud Service Mesh is not related to deployment rollbacks or image cleanup.
D## Cloud Deploy provides better rollback management than a custom rollback pipeline.
#Official Reference:
Google Cloud Deploy Overview
Artifact Registry Cleanup Policy

질문 # 137
You currently store the virtual machine (VM) utilization logs in Stackdriver. You need to provide an easy-to- share interactive VM utilization dashboard that is updated in real time and contains information aggregated on a quarterly basis. You want to use Google Cloud Platform solutions. What should you do?

A. 1. Export VM utilization logs from Stackdriver to BigOuery.2. Create a dashboard in Data Studio.3.
Share the dashboard with your stakeholders.
B. 1. Export VM utilization logs from Stackdriver to Cloud Pub/Sub.2. From Cloud Pub/Sub, send the logs to a Security Information and Event Management (SIEM) system.3. Build the dashboards in the SIEM system and share with your stakeholders.
C. 1. Export VM utilization logs (rom Stackdriver to BigQuery.2. From BigQuery. export the logs to a CSV file.3. Import the CSV file into Google Sheets.4. Build a dashboard in Google Sheets and share it with your stakeholders.
D. 1. Export VM utilization logs from Stackdriver to a Cloud Storage bucket.2. Enable the Cloud Storage API to pull the logs programmatically.3. Build a custom data visualization application.4. Display the pulled logs in a custom dashboard.

정답：A

질문 # 138
You are managing an application that runs in Compute Engine The application uses a custom HTTP server to expose an API that is accessed by other applications through an internal TCP/UDP load balancer A firewall rule allows access to the API port from 0.0.0-0/0. You need to configure Cloud Logging to log each IP address that accesses the API by using the fewest number of steps What should you do Bret?

A. Enable logging on the firewall rule
B. Install the Ops Agent on the Compute Engine instances.
C. Enable Packet Mirroring on the VPC
D. Enable VPC Flow Logs on the subnet

정답：D

설명：
The best option for configuring Cloud Logging to log each IP address that accesses the API by using the fewest number of steps is to enable logging on the firewall rule. A firewall rule is a rule that controls the traffic to and from your Compute Engine instances. You can enable logging on a firewall rule to capture information about the traffic that matches the rule, such as source and destination IP addresses, protocols, ports, and actions. You can use Cloud Logging to view and export the firewall logs to other destinations, such as BigQuery, for further analysis.

질문 # 139
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?

A. Configure Cloud Trace in your application
B. Configure Error Reporting in your application
C. Configure Google Cloud Managed Service for Prometheus in your application
D. Configure Cloud Profiler in your application

정답：A

설명：
The best option for investigating the issue with your application's performance in Google Cloud is to configure Cloud Trace in your application. Cloud Trace is a service that allows you to collect and analyze latency data from your application. You can use Cloud Trace to trace requests across different components of your application, such as downstream dependencies, and identify where they take longer to complete. You can also use Cloud Trace to compare latency data across different versions of your application, and detect any performance degradation or improvement. By using Cloud Trace, you can diagnose and troubleshoot performance issues with your application in Google Cloud.

질문 # 140
......

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