最新的Professional-Cloud-DevOps-Engineer認證考試資料庫

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

SectionObjectives
Topic 1: 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 2: 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
            Topic 3: Develop and implement CI/CD pipelines- Automate build, test, and deployment processes
            • 1. Release management practices
              • 2. Deployment automation strategies
                - Build and manage CI/CD pipelines using Google Cloud tools
                • 1. Artifact repository management
                  • 2. Cloud Build pipeline design
                    Topic 4: 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

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                          最新的 Cloud DevOps Engineer Professional-Cloud-DevOps-Engineer 免費考試真題 (Q40-Q45):

                          問題 #40
                          You support a user-facing web application. When analyzing the application's error budget over the previous six months, you notice that the application has never consumed more than 5% of its error budget in any given time window. You hold a Service Level Objective (SLO) review with business stakeholders and confirm that the SLO is set appropriately. You want your application's SLO to more closely reflect its observed reliability. What steps can you take to further that goal while balancing velocity, reliability, and business needs? (Choose two.)

                          答案:A,D

                          解題說明:
                          https://sre.google/sre-book/service-level-objectives/
                          You want the application's SLO to more closely reflect it's observed reliability. The key here is error budget never goes over 5%. This means they can have additional downtime and still stay within their budget.


                          問題 #41
                          You are reviewing your deployment pipeline in Google Cloud Deploy You must reduce toil in the pipeline and you want to minimize the amount of time it takes to complete an end-to-end deployment What should you do?
                          Choose 2 answers

                          答案:B,E


                          問題 #42
                          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?

                          答案:B


                          問題 #43
                          You recently noticed that one Of your services has exceeded the error budget for the current rolling window period. Your company's product team is about to launch a new feature. You want to follow Site Reliability Engineering (SRE) practices.
                          What should you do?

                          答案:C

                          解題說明:
                          The correct answer is A. Notify the team that their error budget is used up. Negotiate with the team for a launch freeze or tolerate a slightly worse user experience.
                          According to the Site Reliability Engineering (SRE) practices, an error budget is the amount of unreliability that a service can tolerate without harming user satisfaction1.An error budget is derived from the service-level objectives (SLOs), which are the measurable goals for the service quality2. When a service exceeds its error budget, it means that it has violated its SLOs and may have negatively impacted the users.In this case, the SRE team should notify the product team that their error budget is used up and negotiate with them for a launch freeze or a lower SLO3. A launch freeze means that no new features are deployed until the service reliability is restored. A lower SLO means that the product team accepts a slightly worse user experience in exchange for launching new features. Both options require a trade-off between reliability and innovation, and should be agreed upon by both teams.
                          The other options are incorrect because they do not follow the SRE practices.Option B is incorrect because it violates the principle of error budget autonomy, which means that each service should have its own error budget and SLOs, and should not borrow or reallocate them from other services4. Option C is incorrect because it does not address the root cause of the error budget overspend, and may create unrealistic expectations for the service reliability. Option D is incorrect because it does not prevent the possibility of introducing new errors or bugs with the feature launch, which may further degrade the service quality and user satisfaction.


                          問題 #44
                          You are the Operations Lead for an ongoing incident with one of your services. The service usually runs at around 70% capacity. You notice that one node is returning 5xx errors for all requests. There has also been a noticeable increase in support cases from customers. You need to remove the offending node from the load balancer pool so that you can isolate and investigate the node. You want to follow Google-recommended practices to manage the incident and reduce the impact on users. What should you do?

                          答案:A

                          解題說明:
                          The correct answer is A, Communicate your intent to the incident team. Perform a load analysis to determine if the remaining nodes can handle the increase in traffic offloaded from the removed node, and scale appropriately. When any new nodes report healthy, drain traffic from the unhealthy node, and remove the unhealthy node from service.
                          This answer follows the Google-recommended practices for incident management, as described in the Chapter 9 - Incident Response, Google SRE Book1. According to this source, some of the best practices are:
                          Maintain a clear line of command. Designate clearly defined roles. Keep a working record of debugging and mitigation as you go. Declare incidents early and often.
                          Communicate your intent before taking any action that might affect the service or the incident response. This helps to avoid confusion, duplication of work, or unintended consequences.
                          Perform a load analysis before removing a node from the load balancer pool, as this might affect the capacity and performance of the service. Scale the pool as necessary to handle the expected load.
                          Drain traffic from the unhealthy node before removing it from service, as this helps to avoid dropping requests or causing errors for users.
                          Answer A follows these best practices by communicating the intent to the incident team, performing a load analysis and scaling the pool, and draining traffic from the unhealthy node before removing it.
                          Answer B does not follow the best practice of performing a load analysis before adding or removing nodes, as this might cause overloading or underutilization of resources.
                          Answer C does not follow the best practice of communicating the intent before taking any action, as this might cause confusion or conflict with other responders.
                          Answer D does not follow the best practice of draining traffic from the unhealthy node before removing it, as this might cause errors for users.
                          Reference:
                          1: Chapter 9 - Incident Response, Google SRE Book


                          問題 #45
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