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Audience for This Certification Exam
The target audience for the Google Professional Cloud DevOps Engineer test is formed of those individuals who want to learn how they can develop efficient operations and find a balance between the speed in delivering services and its reliability. Also, the candidates who are interested in taking this evaluation want to validate their skills in using the Google Cloud Platform at a professional level. Therefore, thanks to such an exam, applicants will learn how to develop pipelines related to software delivery, as well as become experts at monitoring and deploying services, together with managing and learning from them.
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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 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 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.
Reference: https://cloud.google.com/certification/cloud-devops-engineer
Google Professional-Cloud-DevOps-Engineer Exam Syllabus Topics:
| Section | Weight | Objectives |
| Topic 1: Optimizing performance and cost | 17% | - Balance cost, performance, and reliability
- 1. Optimize over time
- 2. Plan capacity and scaling
- 3. Make tradeoff decisions based on data
- Improve system performance
- 1. Optimize resource allocation
- 2. Tune applications and infrastructure
- 3. Use caching and content delivery
- Apply FinOps practices
- 1. Monitor and analyze cloud costs
- 2. Use spot instances and committed use discounts
- 3. Right-size resources and eliminate waste
|
| Topic 2: Implementing observability and troubleshooting | 20% | - Optimize observability strategy
- 1. Scale monitoring for large environments
- 2. Integrate observability into development
- 3. Reduce noise and prioritize signals
- Troubleshoot complex issues
- 1. Analyze performance and latency
- 2. Trace requests end-to-end
- 3. Isolate problems across layers
- Build monitoring and logging systems
- 1. Create dashboards and alerts
- 2. Use Cloud Monitoring, Cloud Logging, Cloud Trace
- 3. Collect and analyze metrics, logs, traces
|
| Topic 3: Building and implementing CI/CD pipelines | 25% | - Optimize and maintain pipelines
- 1. Monitor pipeline performance
- 2. Handle rollbacks and versioning
- 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
- Implement and secure pipelines
- 1. Automate build, test, and deployment stages
- 2. Manage pipeline secrets and credentials
- 3. Enforce security scanning and compliance checks
|
| Topic 4: Applying site reliability engineering practices | 18% | - Define reliability goals
- 1. Use error budgets to balance change and stability
- 2. Establish SLIs, SLOs, SLAs
- 3. Align reliability with business needs
- Manage incidents and outages
- 1. Detect and respond to issues quickly
- 2. Implement improvements to prevent recurrence
- 3. Perform postmortems and root cause analysis
- Design for resilience
- 1. Automate remediation and self-healing
- 2. Plan redundancy and fault tolerance
- 3. Test failure scenarios and recovery
|
| Topic 5: Bootstrapping and maintaining a Google Cloud organization | 20% | - Set up governance and compliance
- 1. Implement organization policies
- 2. Configure audit logging and monitoring
- 3. Manage resource quotas and limits
- 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. Use Infrastructure as Code tools
- 2. Enforce consistency across environments
- 3. Automate resource provisioning
|