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

SectionObjectives
Develop and implement CI/CD pipelines- Build and manage CI/CD pipelines using Google Cloud tools
  • 1. Artifact repository management
    • 2. Cloud Build pipeline design
      - Automate build, test, and deployment processes
      • 1. Deployment automation strategies
        • 2. Release management practices
          Optimize performance and continuous delivery- System performance optimization
          • 1. Scaling strategies and load handling
            - Monitoring and observability
            • 1. Cloud Monitoring and Logging
              • 2. Performance tuning and feedback loops
                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- Compliance and governance
                    • 1. Audit logging and policy enforcement
                      - Secure CI/CD pipelines
                      • 1. IAM and least privilege access
                        • 2. Secret and credential management

                          >> Professional-Cloud-DevOps-Engineer Übungsmaterialien <<

                          Professional-Cloud-DevOps-Engineer Trainingsmaterialien: Google Cloud Certified - Professional Cloud DevOps Engineer Exam & Professional-Cloud-DevOps-Engineer Lernmittel & Google Professional-Cloud-DevOps-Engineer Quiz

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                          Google Cloud Certified - Professional Cloud DevOps Engineer Exam Professional-Cloud-DevOps-Engineer Prüfungsfragen mit Lösungen (Q51-Q56):

                          51. Frage
                          Your application runs on Google Cloud Platform (GCP). You need to implement Jenkins for deploying application releases to GCP. You want to streamline the release process, lower operational toil, and keep user data secure. What should you do?

                          Antwort: D

                          Begründung:
                          Explanation
                          Your application runs on Google Cloud Platform (GCP). You need to implement Jenkins for deploying application releases to GCP. You want to streamline the release process, lower operational toil, and keep user data secure. What should you do?
                          https://plugins.jenkins.io/google-compute-engine/


                          52. Frage
                          You have deployed a fleet Of Compute Engine instances in Google Cloud. You need to ensure that monitoring metrics and logs for the instances are visible in Cloud Logging and Cloud Monitoring by your company's operations and cyber security teams. You need to grant the required roles for the Compute Engine service account by using Identity and Access Management (IAM) while following the principle of least privilege. What should you do?

                          Antwort: C

                          Begründung:
                          Explanation
                          The correct answer is D. Grant the logging.logWriter and monitoring.metricWriter roles to the Compute Engine service accounts.
                          According to the Google Cloud documentation, the Compute Engine service account is a Google-managed service account that is automatically created when you enable the Compute Engine API1. This service account is used by default to run your Compute Engine instances and access other Google Cloud services on your behalf1. To ensure that monitoring metrics and logs for the instances are visible in Cloud Logging and Cloud Monitoring, you need to grant the following IAM roles to the Compute Engine service account23:
                          The logging.logWriter role allows the service account to write log entries to Cloud Logging4.
                          The monitoring.metricWriter role allows the service account to write custom metrics to Cloud Monitoring5.
                          These roles grant the minimum permissions that are needed for logging and monitoring, following the principle of least privilege. The other roles are either unnecessary or too broad for this purpose. For example, the logging.editor role grants permissions to create and update logs, log sinks, and log exclusions, which are not required for writing log entries6. The logging.admin role grants permissions to delete logs, log sinks, and log exclusions, which are not required for writing log entries and may pose a security risk if misused. The monitoring.editor role grants permissions to create and update alerting policies, uptime checks, notification channels, dashboards, and groups, which are not required for writing custom metrics.


                          53. Frage
                          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?

                          Antwort: B

                          Begründung:
                          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


                          54. Frage
                          You are on-call for an infrastructure service that has a large number of dependent systems. You receive an alert indicating that the service is failing to serve most of its requests and all of its dependent systems with hundreds of thousands of users are affected. As part of your Site Reliability Engineering (SRE) incident management protocol, you declare yourself Incident Commander (IC) and pull in two experienced people from your team as Operations Lead (OLJ and Communications Lead (CL). What should you do next?

                          Antwort: B

                          Begründung:
                          https://sre.google/sre-book/managing-incidents/


                          55. Frage
                          You need to run a business-critical workload on a fixed set of Compute Engine instances for several months.
                          The workload is stable with the exact amount of resources allocated to it. You want to lower the costs for this workload without any performance implications. What should you do?

                          Antwort: D

                          Begründung:
                          Explanation/Reference: https://cloud.google.com/compute/docs/faq


                          56. Frage
                          ......

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