Google Professional-Cloud-DevOps-Engineer인기덤프문제, Professional-Cloud-DevOps-Engineer최신버전인기시험자료

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Google Professional-Cloud-Devops-Engineer는 Google Cloud가 제공하는 인증 시험으로 클라우드 기반 DevOps 분야의 전문가의 기술과 지식을 테스트합니다. 이 인증은 Google Cloud 플랫폼에서 DevOps 사례를 설계, 구현 및 관리하는 후보자의 능력을 보여줍니다. 소프트웨어 개발, 배포 및 클라우드 인프라 관리에 대한 확실한 이해가 필요합니다.

Google Professional-Cloud-DevOps-Engineer 시험요강:

주제	소개
주제 1	Optimizing the service performance: It delves into the identification of service performance issues, implementation of debugging tools in Google Cloud, and optimization of resource utilization and costs.
주제 2	Applying site reliability engineering practices to a service: It deals with velocity, and reliability of the service, service lifecycle, healthy communication, and collaboration for operations. The topic also discusses mitigation of incident impact on users and conducting a postmortem.
주제 3	Bootstrapping a Google Cloud organization for DevOps: It discusses the overall resource hierarchy for an organization, infrastructure as code, CI CD architecture stack in Google Cloud, hybrid, and multi-cloud environments. Moreover, the topic focuses on multiple environments including staging and production.
주제 4	Implementing service monitoring strategies: This topic covers structured and unstructured logs from Compute Engine, GKE, and serverless platforms using Cloud Logging. Its sub-topics include coverage of metrics with Cloud Monitoring, dashboards and alerts in Cloud Monitoring, Cloud Logging platform, and logging and monitoring access controls.
주제 5	Building and implementing CI CD pipelines for a service: Management and designing of CI CD pipelines, implementation of CI CD pipelines, management of CI CD configuration, and secrets are discussed in this paper. Moreover, it focuses on storage methods and key rotation services, and finally securing the CI CD deployment pipeline.

Google Professional-Cloud-DevOps-Engineer 자격증은 전 세계적으로 인정되며 고용주들에게 높은 가치가 있다. 이 자격증은 후보자가 클라우드 기반 솔루션을 설계, 구현 및 관리하는 데 필요한 지식과 기술을 보유하고 있다는 것을 증명한다. 이 자격증은 또한 후보자가 Google Cloud Platform 도구와 기술을 숙달하여 소프트웨어 응용 프로그램의 개발 및 배포를 최적화하는 데 능숙함을 나타낸다. 전반적으로 Google Professional-Cloud-DevOps-Engineer 자격증은 기술 산업에서 경력을 발전시키기를 원하는 전문가들에게 훌륭한 투자입니다.

>> Google Professional-Cloud-DevOps-Engineer인기덤프문제 <<

최신 Cloud DevOps Engineer Professional-Cloud-DevOps-Engineer 무료샘플문제 (Q12-Q17):

질문 # 12
You are troubleshooting a failed deployment in your CI/CD pipeline. The deployment logs indicate that the application container failed to start due to a missing environment variable. You need to identify the root cause and implement a solution within your CI/CD workflow to prevent this issue from recurring. What should you do?

A. Enable Cloud Audit Logs for the deployment.
B. Implement static code analysis in the CI pipeline.
C. Run integration tests in the CI pipeline.
D. Use a canary deployment strategy.

정답：C

질문 # 13
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?

A. 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.
B. 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.
C. 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.
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.

정답：D

설명：
https://cloud.google.com/architecture/prep-kubernetes-engine-for-prod#roles_and_groups

질문 # 14
You are working with a government agency that requires you to archive application logs for seven years. You need to configure Stackdriver to export and store the logs while minimizing costs of storage. What should you do?

A. Develop an App Engine application that pulls the logs from Stackdriver and saves them in BigQuery.
B. Create a Cloud Storage bucket and develop your application to send logs directly to the bucket.
C. Create a sink in Stackdriver, name it, create a bucket on Cloud Storage for storing archived logs, and then select the bucket as the log export destination.
D. Create an export in Stackdriver and configure Cloud Pub/Sub to store logs in permanent storage for seven years.

정답：C

설명：
Explanation
https://cloud.google.com/logging/docs/routing/overview

질문 # 15
You have a pool of application servers running on Compute Engine. You need to provide a secure solution that requires the least amount of configuration and allows developers to easily access application logs for troubleshooting. How would you implement the solution on GCP?

A. Install the gsutil command line tool on your application servers.
* Write a script using gsutil to upload your application log to a Cloud Storage bucket, and then schedule it to run via cron every 5 minutes.
* Give the developers IAM Object Viewer access to view the logs in the specified bucket.
B. Deploy the Stackdriver monitoring agent to the application servers.
* Give the developers the IAM Monitoring Viewer role to access Stackdriver and view metrics.
C. Deploy the Stackdriver logging agent to the application servers.
* Give the developers the IAM Logs Private Logs Viewer role to access Stackdriver and view logs.
D. Deploy the Stackdriver logging agent to the application servers.
* Give the developers the IAM Logs Viewer role to access Stackdriver and view logs.

정답：A

질문 # 16
You are performing a semi-annual capacity planning exercise for your flagship service You expect a service user growth rate of 10% month-over-month for the next six months Your service is fully containerized and runs on a Google Kubemetes Engine (GKE) standard cluster across three zones with cluster autoscaling enabled You currently consume about 30% of your total deployed CPU capacity and you require resilience against the failure of a zone. You want to ensure that your users experience minimal negative impact as a result of this growth o' as a result of zone failure while you avoid unnecessary costs How should you prepare to handle the predicted growth?

A. Because you deployed the service on GKE and are using a cluster autoscaler your GKE cluster will scale automatically regardless of growth rate
B. Proactively add 80% more node capacity to account for six months of 10% growth rate and then perform a load test to ensure that you have enough capacity
C. Verify the maximum node pool size enable a Horizontal Pod Autoscaler and then perform a load lest to verify your expected resource needs
D. Because you are only using 30% of deployed CPU capacity there is significant headroom and you do not need to add any additional capacity for this rate of growth

정답：C

설명：
The best option for preparing to handle the predicted growth is to verify the maximum node pool size, enable a Horizontal Pod Autoscaler, and then perform a load test to verify your expected resource needs. The maximum node pool size is a parameter that specifies the maximum number of nodes that can be added to a node pool by the cluster autoscaler. You should verify that the maximum node pool size is sufficient to accommodate your expected growth rate and avoid hitting any quota limits. The Horizontal Pod Autoscaler is a feature that automatically adjusts the number of Pods in a deployment or replica set based on observed CPU utilization or custom metrics. You should enable a Horizontal Pod Autoscaler for your application to ensure that it runs enough Pods to handle the load. A load test is a test that simulates high user traffic and measures the performance and reliability of your application. You should perform a load test to verify your expected resource needs and identify any bottlenecks or issues.

질문 # 17
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Google Professional-Cloud-DevOps-Engineer인기덤프문제, Professional-Cloud-DevOps-Engineer최신버전인기시험자료

Google Professional-Cloud-DevOps-Engineer 시험요강:

최신 Professional-Cloud-DevOps-Engineer인기덤프문제 인증덤프 샘플문제 다운로드

최신 Cloud DevOps Engineer Professional-Cloud-DevOps-Engineer 무료샘플문제 (Q12-Q17):