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Google Professional-Cloud-DevOps-Engineer Exam Syllabus Topics:

SectionObjectives
Optimize performance and continuous delivery- Monitoring and observability
  • 1. Cloud Monitoring and Logging
    • 2. Performance tuning and feedback loops
      - System performance optimization
      • 1. Scaling strategies and load handling
        Develop and implement CI/CD pipelines- Build and manage CI/CD pipelines using Google Cloud tools
        • 1. Cloud Build pipeline design
          • 2. Artifact repository management
            - Automate build, test, and deployment processes
            • 1. Release management practices
              • 2. Deployment automation strategies
                Implement site reliability engineering (SRE) practices- Incident management and postmortems
                • 1. Alerting and on-call practices
                  - Define and manage SLI, SLO, and SLA
                  • 1. Error budgets and monitoring strategies
                    Implement security and compliance- Secure CI/CD pipelines
                    • 1. IAM and least privilege access
                      • 2. Secret and credential management
                        - Compliance and governance
                        • 1. Audit logging and policy enforcement

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                          Google Cloud Certified - Professional Cloud DevOps Engineer Exam 認定 Professional-Cloud-DevOps-Engineer 試験問題 (Q146-Q151):

                          質問 # 146
                          Your organization stores all application logs from multiple Google Cloud projects in a central Cloud Logging project. Your security team wants to enforce a rule that each project team can only view their respective logs, and only the operations team can view all the logs. You need to design a solution that meets the security team's requirements, while minimizing costs. What should you do?

                          正解：C


                          質問 # 147
                          You are building the Cl/CD pipeline for an application deployed to Google Kubernetes Engine (GKE) The application is deployed by using a Kubernetes Deployment, Service, and Ingress The application team asked you to deploy the application by using the blue'green deployment methodology You need to implement the rollback actions What should you do?

                          正解：A

                          解説：
                          The best option for implementing the rollback actions is to update the Kubernetes Service to point to the previous Kubernetes Deployment. A Kubernetes Service is a resource that defines how to access a set of Pods. A Kubernetes Deployment is a resource that manages the creation and update of Pods. By using the blue/green deployment methodology, you can create two Deployments, one for the current version (blue) and one for the new version (green), and use a Service to switch traffic between them. If you need to rollback, you can update the Service to point to the previous Deployment (blue) and stop sending traffic to the new Deployment (green).


                          質問 # 148
                          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 over the next six months. Your service is fully containerized and runs on Google Cloud Platform (GCP), using a Google Kubernetes Engine (GKE) Standard regional cluster on three zones with cluster autoscaler 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 or as a result of zone failure, while avoiding unnecessary costs. How should you prepare to handle the predicted growth?

                          正解：C


                          質問 # 149
                          You support the backend of a mobile phone game that runs on a Google Kubernetes Engine (GKE) cluster. The application is serving HTTP requests from users. You need to implement a solution that will reduce the network cost. What should you do?

                          正解：D

                          解説：
                          Costs associated with a load balancer are charged to the project containing the load balancer components. Because of these benefits, container-native load balancing is the recommended solution for load balancing through Ingress. When NEGs are used with GKE Ingress, the Ingress controller facilitates the creation of all aspects of the L7 load balancer. This includes creating the virtual IP address, forwarding rules, health checks, firewall rules, and more. https://cloud.google.com/architecture/best-practices-for-running-cost-effective-kubernetes-applications-on-gke


                          質問 # 150
                          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?

                          正解：B

                          解説：
                          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


                          質問 # 151
                          ......

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