The Google Professional Cloud DevOps Engineer certification was intended for experienced cloud professionals, DevOps engineers, and system administrators who wanted to validate their skills in designing and implementing efficient CI/CD pipelines, automating tasks, and managing application deployment and monitoring using GCP services and tools.
The certification exam covers a range of topics and skills, including but not limited to:
- CI/CD Pipeline Automation: Candidates learned how to design and build CI/CD pipelines using tools like Google Cloud Build, Jenkins, and others to automate the software development and deployment processes.
- Containerization and Orchestration: This certification covered containerization technologies like Docker and container orchestration using Google Kubernetes Engine (GKE).
- Infrastructure as Code (IaC): Understanding how to use tools like Terraform or Google Cloud Deployment Manager to define and provision infrastructure resources programmatically.
- Monitoring and Logging: Candidates learned to set up monitoring and logging solutions using tools like Google Cloud Monitoring, Google Cloud Logging, and Stackdriver to ensure the reliability and performance of applications.
- Security and Compliance: An understanding of security best practices, identity and access management, and compliance requirements within the context of DevOps on GCP.
- Deployment Strategies: Strategies for deploying applications with minimal downtime, such as blue-green deployments, canary releases, and rolling updates.
- Testing and Quality Assurance: Knowledge of testing frameworks and practices to ensure the quality of code and applications in the CI/CD pipeline.
Candidates typically prepared for this certification by gaining hands-on experience with Google Cloud services, studying official documentation, and taking online courses and practice exams.
The examination for the Google Professional Cloud DevOps Engineer certification consisted of multiple-choice questions, multiple-select questions, and scenario-based questions. It required a deep understanding of DevOps practices and Google Cloud tools and services.