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

SectionObjectives
Topic 1: 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. Release management practices
        • 2. Deployment automation strategies
          Topic 2: 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
                Topic 3: Implement security and compliance- Secure CI/CD pipelines
                • 1. Secret and credential management
                  • 2. IAM and least privilege access
                    - Compliance and governance
                    • 1. Audit logging and policy enforcement
                      Topic 4: Implement site reliability engineering (SRE) practices- Define and manage SLI, SLO, and SLA
                      • 1. Error budgets and monitoring strategies
                        - Incident management and postmortems
                        • 1. Alerting and on-call practices

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                          Google Cloud Certified - Professional Cloud DevOps Engineer Exam Sample Questions (Q51-Q56):

                          NEW QUESTION # 51
                          You are developing a strategy for monitoring your Google Cloud Platform (GCP) projects in production using Stackdriver Workspaces. One of the requirements is to be able to quickly identify and react to production environment issues without false alerts from development and staging projects. You want to ensure that you adhere to the principle of least privilege when providing relevant team members with access to Stackdriver Workspaces. What should you do?

                          Answer: B


                          NEW QUESTION # 52
                          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?

                          Answer: C

                          Explanation:
                          Explanation
                          The best option for providing your security team with the necessary permissions following the principle of least privilege and Google-recommended practices is to assign the roles/logging.privateLogViewer role to a group with all the security team members. The roles/logging.privateLogViewer role is a predefined role that grants read-only access to Data Access audit logs and other private logs in Cloud Logging. A group is a collection of users that can be assigned roles and permissions as a single unit. You can assign the roles/logging.privateLogViewer role to a group with all the security team members by using IAM policies.
                          This way, you can provide your security team with the minimum level of access they need to view Data Access audit logs in the _Required bucket.


                          NEW QUESTION # 53
                          You recently deployed your application in Google Kubernetes Engine (GKE) and now need to release a new version of the application You need the ability to instantly roll back to the previous version of the application in case there are issues with the new version Which deployment model should you use?

                          Answer: B

                          Explanation:
                          The best deployment model for releasing a new version of your application in GKE with the ability to instantly roll back to the previous version is to perform a blue/green deployment and test your new application after the deployment is complete. A blue/green deployment is a deployment strategy that involves creating two identical environments, one running the current version of the application (blue) and one running the new version of the application (green). The traffic is switched from blue to green after testing the new version, and if any issues are discovered, the traffic can be switched back to blue instantly. This way, you can minimize downtime and risk during deployment.


                          NEW QUESTION # 54
                          You are managing an application that exposes an HTTP endpoint without using a load balancer. The latency of the HTTP responses is important for the user experience. You want to understand what HTTP latencies all of your users are experiencing. You use Stackdriver Monitoring. What should you do?

                          Answer: B

                          Explanation:
                          https://sre.google/workbook/implementing-slos/
                          https://cloud.google.com/architecture/adopting-slos/
                          Latency is commonly measured as a distribution. Given a distribution, you can measure various percentiles.
                          For example, you might measure the number of requests that are slower than the historical 99th percentile.


                          NEW QUESTION # 55
                          Your company recently migrated to Google Cloud. You need to design a fast, reliable, and repeatable solution for your company to provision new projects and basic resources in Google Cloud. What should you do?

                          Answer: B

                          Explanation:
                          Explanation
                          Terraform is an open-source tool that allows you to define and provision infrastructure as code1. Terraform can be used to create and manage Google Cloud resources, such as projects, networks, and services2. The Cloud Foundation Toolkit is a set of open-source Terraform modules and tools that provide best practices and guidance for deploying Google Cloud infrastructure3. The Cloud Foundation Toolkit includes Terraform repositories for creating Google Cloud projects and related resources, such as IAM policies, APIs, service accounts, and billing4. By using the Terraform repositories from the Cloud Foundation Toolkit, you can design a fast, reliable, and repeatable solution for your company to provision new projects and basic resources in Google Cloud. You can also customize the Terraform code to suit your specific needs and preferences.


                          NEW QUESTION # 56
                          ......

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