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Introduction to Google Professional Cloud DevOps Engineer Exam

Google Professional Cloud DevOps Engineer Exam is a certification exam that is conducted by Google to validates candidate knowledge and skills of working as a Professional Cloud DevOps engineer in the IT industry.

After passing this Professional Cloud DevOps Engineer Exam test, candidates get a certificate from Google that helps them to demonstrate their proficiency in Google Professional Cloud DevOps Engineer to their clients and employers.

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Writing Google Professional Cloud DevOps Engineer could be very difficult for you if you don't have any experience in terms of on-premises DevOps engineering, still, this certification can be cracked by following some tips and tricks. This exam may go hard for you if you had not done its preparation properly. Many websites are offering the latest Google Professional Cloud DevOps Engineer questions and answers, but these questions are not verified by Google certified experts and that is why many are failed in their just first attempt. PassLeader is the best platform which provides the candidate with the necessary Google Professional Cloud DevOps Engineer practice exam questions that will help him to pass the Google Professional Cloud DevOps Engineer on the first time.

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Prerequisites

The Google Professional Cloud DevOps Engineer certification exam is designed for the Application Developers and Programmers who want to learn how to design, develop, and deploy Cloud applications. This test has no formal prerequisites. However, the individuals are recommended to have at least 3 years of industry experience, involving 1 or more years of experience with managing solutions on Google Cloud Platform.

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Exam Topics

To achieve good results in the Google Professional Cloud DevOps Engineer certification exam, the candidates need to develop a comprehensive understanding of its domains. The detailed outline of the topics and subtopics covered in the test is available on the official platform. Their brief overview is provided below:

  • Implementation of Strategies for Service Monitoring

    Here the applicants will be asked to show that they have the capacity to manage the Stackdriver Logging and Stackdriver Monitoring platforms. They should also know how to manage application logs as well as application metrics using Stackdriver Monitoring. Additionally, the individuals will require the competency in implementing logging & monitoring access control.

  • Optimization of Service Performance

    Within this module, the learners need to show that they are capable of optimizing resource utilization, including determining resource costs, defining resource utilization levels, developing a plan to optimize areas of the lowest utilization/greatest cost, managing preemptible Virtual Machines, considering network pricing, and so on. They must also possess the skills in debugging application code as well as determining service performance issues.

  • Management of Service Incidents

    To answer the questions related to this part of the certification test, the students need to have the skills in coordinating roles and implementing the channels of communication in the course of the service incident. In addition, they need to have an understanding of how to perform the analysis of incident symptoms affecting the users. The test takers should also know how to mitigate the impact of an incident on the users. Finally, they need to have the sufficient competency in resolving issues (for example, Cloud Build, Jenkins, etc.) and documenting an issue in the postmortem.

  • Building & Implementation of CI/CD Pipelines for Services

    The second topic focuses on the ability of the examinees to manage various development environments (for instance, staging, production, etc.), manage infrastructure as code, as well as manage configuration & secrets. Moreover, the test takers are required to demonstrate their proficiency in designing & implementing CI/CD pipelines, deploying CI/CD tooling, and securing the deployment pipeline.

  • Application of Site Reliability Engineering Principles to Services

    This subject area measures the skills of the professionals in ensuring healthy collaboration for operations, including preventing burnout (for example, setting up automation procedures to prevent burnout) as well as fostering a learning culture & culture of blamelessness. Besides that, the candidates need to possess the expertise in managing the service life cycle as well as balancing the service change, velocity, and reliability.

Reference: https://cloud.google.com/certification/cloud-devops-engineer

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

SectionWeightObjectives
Optimizing performance and cost17%- Improve system performance
  • 1. Optimize resource allocation
  • 2. Use caching and content delivery
  • 3. Tune applications and infrastructure
- Balance cost, performance, and reliability
  • 1. Plan capacity and scaling
  • 2. Optimize over time
  • 3. Make tradeoff decisions based on data
- Apply FinOps practices
  • 1. Right-size resources and eliminate waste
  • 2. Use spot instances and committed use discounts
  • 3. Monitor and analyze cloud costs
Implementing observability and troubleshooting20%- Build monitoring and logging systems
  • 1. Create dashboards and alerts
  • 2. Collect and analyze metrics, logs, traces
  • 3. Use Cloud Monitoring, Cloud Logging, Cloud Trace
- Troubleshoot complex issues
  • 1. Isolate problems across layers
  • 2. Analyze performance and latency
  • 3. Trace requests end-to-end
- Optimize observability strategy
  • 1. Reduce noise and prioritize signals
  • 2. Scale monitoring for large environments
  • 3. Integrate observability into development
Applying site reliability engineering practices18%- Design for resilience
  • 1. Automate remediation and self-healing
  • 2. Test failure scenarios and recovery
  • 3. Plan redundancy and fault tolerance
- Manage incidents and outages
  • 1. Implement improvements to prevent recurrence
  • 2. Perform postmortems and root cause analysis
  • 3. Detect and respond to issues quickly
- Define reliability goals
  • 1. Use error budgets to balance change and stability
  • 2. Establish SLIs, SLOs, SLAs
  • 3. Align reliability with business needs
Building and implementing CI/CD pipelines25%- Design CI/CD pipelines
  • 1. Integrate artifact management
  • 2. Plan pipelines for apps, infrastructure, ML workloads
  • 3. Support hybrid/multi-cloud deployment
- Optimize and maintain pipelines
  • 1. Handle rollbacks and versioning
  • 2. Improve speed and reliability
  • 3. Monitor pipeline performance
- Implement and secure pipelines
  • 1. Manage pipeline secrets and credentials
  • 2. Enforce security scanning and compliance checks
  • 3. Automate build, test, and deployment stages
Bootstrapping and maintaining a Google Cloud organization20%- Manage configuration and deployment
  • 1. Use Infrastructure as Code tools
  • 2. Enforce consistency across environments
  • 3. Automate resource provisioning
- Set up governance and compliance
  • 1. Configure audit logging and monitoring
  • 2. Manage resource quotas and limits
  • 3. Implement organization policies
- Design resource hierarchy
  • 1. Plan shared networking and connectivity
  • 2. Define IAM policies and access control
  • 3. Organize resources by project/folder/application

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