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Google Cloud Associate (GCA): This certification is designed for individuals who are new to Google Cloud and want to establish a foundational understanding of its core services and capabilities.
Google Cloud Professional (GCP): This refers to one of the more advanced Google Cloud certifications, such as the Professional Cloud Architect (PCA), Professional Data Engineer (PDE), or other specialized professional-level certifications.
Curriculum Designed by Experts
1.1 Designing a solution infrastructure that meets business requirements
1.2 Designing a solution infrastructure that meets technical requirements
1.3 Designing network, storage, and compute resources
1.4 Creating a migration plan (i.e., documents and architectural diagrams)
1.5 Envisioning future solution improvements
2.1 Configuring network topologies
2.2 Configuring individual storage systems
2.3 Configuring compute systems
3.1 Designing for security
3.2 Designing for compliance
4.1 Analyzing and defining technical processes
4.2 Analyzing and defining business processes
4.3 Developing procedures to ensure reliability of solutions in production (e.g., chaos engineering, penetration testing)
5.1 Advising development/operation team(s) to ensure successful deployment of the solution
5.2 Interacting with Google Cloud programmatically
6.1 Monitoring/logging/profiling/alerting solution
6.2 Deployment and release management
6.3 Assisting with the support of deployed solutions
6.4 Evaluating quality control measures
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Infrastructure Provisioning
Implementing automated infrastructure provisioning and configuration management using Ansible. This may include setting up servers, networking devices, and other infrastructure components using playbooks and roles.
Applications Deployment
Automating the deployment and orchestration of applications across development, testing, and production environments. This could involve deploying web servers, databases. middleware, and other application components using Ansible
Continuous Integration
Integrating Ansible into CI/CD pipelines to automate software. build, test, and deployment processes. This may include automating the creation of build artifacts, running tests, and deploying applications to various environments.