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Career Prospects

The Google Professional Cloud DevOps Engineer certification demonstrates your ability to efficiently perform the development operations that can balance service reliability and delivery speed. After completing the qualifying exam, you will be proficient in using Google Cloud Platform to build software delivery pipelines, deploy & monitor services, and manage incidents. This expertise will give you access to endless opportunities for career development. Immediately after getting certified, you can start a career as a Cloud DevOps Engineer. Additionally, you can apply for the related job roles, such as a DevOps Infrastructure Engineer, a Cloud Solutions Architect, a GCP Cloud Native Architect, a Google Cloud Platform Data Architect, a GCP Cloud Data Engineer, and more. The average salary that the certificate holders can earn ranges between $137,000 and $180,000 per year.

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.

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

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Preparation Resources for Certification Test

Passing this Google exam is possible from the first attempt if you combine different preparation resources such as the ones offered by the vendor and the books available on Amazon. In case you’re on the lookout for the most effective revision materials, here’s our choice:

  • Google Cloud DevOps Engineer Learning Path

    The vendor has developed a comprehensive learning path for candidates who want to pass the Professional Cloud DevOps Engineer exam. It includes several courses that will take the applicants through all the steps necessary to validate the necessary abilities to get the passing score from the first attempt. In particular, this learning kit includes the following training sessions:

    • The Google Cloud Fundamentals: Core Infrastructure class focuses on helping the candidates learn about storage and computing services which are included in Google Cloud Pack. Therefore, the exam-takers will learn how to use the BigQuery, App Engine, Cloud SQL and Storage, and Google Kubernetes Engine features.
    • The training dedicated to the development of a Google SRE culture helps the candidates gain advanced skills in providing production support and minimizing the gap between operations and development. During this course, applicants will learn the secrets of Site Reliability Engineering and how they can benefit from creating a Google SRE culture.
    • The Architecting with Google Cloud: Design and Process class helps the test-takers learn how to deploy Google Cloud features in a cost-effective and performant way.
    • The final training session included in this learning path is dedicated to monitoring, logging, and observability in Google Cloud. It teaches the candidates how to troubleshoot and improve Google Cloud infrastructure performance.

    Once the candidates go through the courses mentioned above, they will gain several skill badges that consolidate their skills in DevOps engineering. These badges are as follows:

    • The skill badge that validates the ability to use Google Cloud for performing foundational infrastructure tasks. It helps the candidates learn how to manage important application services such as Cloud Functions or Stackdriver.
    • The second badge is related to the implementation of DevOps features in Google Cloud. In particular, it will help the candidates improve their software delivery capacity with the help of Google Cloud and achieve a higher speed, availability, and stability.
    • The last badge helps the candidates understand how to use the Google Cloud Operations Suite for monitoring and logging. Thus, the applicants will learn how to use Google Cloud’s ins and outs for generating healthier and improved applications.

    Without doubt, a candidate who goes through this learning process provided by Google will have significantly higher chances to get certified in one go.

  • Google Cloud Professional Cloud DevOps Engineer Exam – All in One Guide: Get Certified Efficiently in Google Cloud! (Google Cloud Certification Series Book 7)

    This book is available on Amazon in Kindle format and has been published by Joseph Holbrook. Also, the candidates can buy it for almost $12. This guide follows all the topics tested in the certification exam and helps the applicants sharpen their skills in managing Google Cloud DevOps Engineer features. Besides, it helps entrants to fully prepare for the designation test as it includes more than 100 questions and detailed answers for each of them. Thus, the exam-takers will get used to the test structure and difficulty level. Plus, anyone who buys this guide will receive free access to additional learning resources that will consolidate their knowledge of Google Cloud apps and features.

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

SectionWeightObjectives
Topic 1: Building and implementing CI/CD pipelines25%- Implement and secure pipelines
  • 1. Manage pipeline secrets and credentials
  • 2. Enforce security scanning and compliance checks
  • 3. Automate build, test, and deployment stages
- Optimize and maintain pipelines
  • 1. Handle rollbacks and versioning
  • 2. Monitor pipeline performance
  • 3. Improve speed and reliability
- Design CI/CD pipelines
  • 1. Plan pipelines for apps, infrastructure, ML workloads
  • 2. Support hybrid/multi-cloud deployment
  • 3. Integrate artifact management
Topic 2: Bootstrapping and maintaining a Google Cloud organization20%- Design resource hierarchy
  • 1. Organize resources by project/folder/application
  • 2. Define IAM policies and access control
  • 3. Plan shared networking and connectivity
- Manage configuration and deployment
  • 1. Enforce consistency across environments
  • 2. Automate resource provisioning
  • 3. Use Infrastructure as Code tools
- Set up governance and compliance
  • 1. Manage resource quotas and limits
  • 2. Configure audit logging and monitoring
  • 3. Implement organization policies
Topic 3: Applying site reliability engineering practices18%- Define reliability goals
  • 1. Establish SLIs, SLOs, SLAs
  • 2. Align reliability with business needs
  • 3. Use error budgets to balance change and stability
- 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. Test failure scenarios and recovery
  • 2. Plan redundancy and fault tolerance
  • 3. Automate remediation and self-healing
Topic 4: Implementing observability and troubleshooting20%- Optimize observability strategy
  • 1. Scale monitoring for large environments
  • 2. Reduce noise and prioritize signals
  • 3. Integrate observability into development
- Build monitoring and logging systems
  • 1. Collect and analyze metrics, logs, traces
  • 2. Use Cloud Monitoring, Cloud Logging, Cloud Trace
  • 3. Create dashboards and alerts
- Troubleshoot complex issues
  • 1. Isolate problems across layers
  • 2. Analyze performance and latency
  • 3. Trace requests end-to-end
Topic 5: 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. Plan capacity and scaling
  • 2. Make tradeoff decisions based on data
  • 3. Optimize over time
- Apply FinOps practices
  • 1. Right-size resources and eliminate waste
  • 2. Monitor and analyze cloud costs
  • 3. Use spot instances and committed use discounts

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