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Exam Details

The qualifying test for the Google Professional Cloud DevOps Engineer certification has the duration of 2 hours. The candidates will be asked to answer around 50 multiple-select and multiple-choice questions. The exam is available in the English language only. The students can take it either as an online proctored test or an onsite proctored exam at an authorized testing center. You can check the location of the nearest center in your region using the search on the official webpage. Each learner is required to pay the registration fee of $200 to schedule the exam.

If you don’t manage to pass the exam on the first try, you can retake it after 14 days. If you don't complete it for the second time, you will be required to wait for 60 days before you can sit for it for the third time. If you fail the third attempt, you will have to wait for 1 year before taking the test again.

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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How much Google Professional Cloud DevOps Engineer Exam cost

Google Professional Cloud DevOps Engineer exam cost is USD 200, for more information related to the Google Professional Cloud DevOps Engineer exam, please visit Google Website. Additional costs of Professional Cloud DevOps Engineer exam dumps pdf and Professional Cloud DevOps Engineer practice test are not included in this price.

Preparation Process

The best way to prepare for the Google Professional Cloud DevOps Engineer certification exam is to explore the training tools offered on its official website. The candidates can start their preparation process by reviewing the topics in the study guide. This will give them an idea of what they need to cover studying for the test and plan their learning time properly.

The official platform recommends that the potential individuals complete the Professional DevOps Engineer learning path, which includes in-person classes, online training, and hands-on labs for a better understating of the exam content. The courses within this path cover each aspect of the certification test in depth improving the candidates’ chances of passing the exam at the first attempt. Apart from the learning path, the applicants can take advantage of additional resources such as Google Cloud documentation and Google Cloud solutions. There is also the option of signing up for a dedicated webinar to learn valuable prep tips from the Google experts. At the end of your preparation, use the official sample questions to familiarize yourself with the format of exam questions and check the level of readiness.

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

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

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