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Managing & Provisioning Solution Infrastructures

• Configure compute systems: you should understand system provisioning; compute volatility configuration; container orchestration using Kubernetes; technology configuration for infrastructure provisioning; network configuration for the compute nodes.
• Configure network topologies: the examinees should have the ability to extend to hybrid and on-premises networking and multi-Cloud environment that may entail GCP to GCP communication. It also requires their understanding of data protection and security;
• Configure individual storage systems: the areas of focus should include data storage allocation; access management and security; data processing and compute provisioning; data lifecycle management and data retention; network configuration for the data latency and transfer;

Exam Details

The Google Professional Cloud Architect certificate requires one qualifying exam. This test is 2 hours long and consists of the multiple-choice and multiple-select questions. The applicants can take it in English or Japanese, but before registering, they are required to pay the fee of $200. The students can pass the exam online or on-site at one of the testing centers. You should check the certification webpage for more details regarding the registration and testing processes.

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Topics of Google Professional Cloud Architect Exam

Candidates must know the exam topics before they start of preparation. because it will really help them in hitting the core. Our Google Professional Cloud Architect Dumps will include the following topics:

1. Designing and planning a cloud solution architecture

Business requirements considerations

• Cost optimization
• Supporting the application design
• Compliance and observability
• Integration with external systems
• Build, buy or modify
• Design decision trade-offs
• Business use cases and product strategy
• Success measurements (e.g., key performance indicators [KPI], return on investment [ROI], metrics)
• Movement of data

Technical requirements considerations

• Performance and latency
• High availability and failover design
• Elasticity of cloud resources
• Scalability to meet growth requirements

Network, Storage, and Compute resources Considerations

• Choosing appropriate storage types (e.g., object, file, RDBMS, NoSQL, NewSQL)
• Integration with on- premises/multi- cloud environments
• Mapping compute needs to platform products
• Cloud-native networking (VPC, peering, firewalls, container networking)
• Choosing data processing technologies
• Choosing compute resources (e.g., preemptible, custom machine type, specialized workload)

Creating a migration plan

• Testing and proof of concept
• Network planning
• Migrating systems and data to support the solution
• Licensing mapping
• Integrating solution with existing systems
• Dependency management planning

Envisioning future solution improvements

• Cloud and technology improvements
• Evangelism and advocacy
• Business needs evolution

2. Managing and provisioning a solution Infrastructure

Configuring network topologies

• Extending to a multi-cloud environment that may include GCP to GCP communication
• Extending to on-premises (hybrid networking)
• Security and data protection

Configuring individual storage systems

• Data processing/compute provisioning
• Data storage allocation
• Security and access management
• Network configuration for data transfer and latency
• Data growth management
• Data retention and data life cycle management

Configuring compute systems

• Compute system provisioning
• Container orchestration with Kubernetes
• Infrastructure provisioning technology configuration (e.g. Chef/Puppet/Ansible/Terraform/Deployment Manager)
• Compute volatility configuration (preemptible vs. standard)
• Network configuration for compute nodes

3. Designing for security and compliance

Security considerations

• Resource hierarchy (organizations, folders, projects)
• Penetration testing
• Separation of duties (SoD)
• Security controls (e.g., auditing, VPC Service Controls organization policy)
• Identity and access management (IAM)
• Managing customer- managed encryption keys with Cloud KMS
• Data security (key management, encryption)

compliance Considerations

• Industry certifications (e.g., SOC 2)
• Audits (including logs)
• Commercial (e.g., sensitive data such as credit card information handling, personally identifiable information [PII])
• Legislation (e.g., health record privacy, children's privacy, data privacy, and ownership)

4. Analyzing and optimizing technical and business processes

Analyzing and defining technical processes considerations

• Business continuity and disaster recovery
• Troubleshooting / post mortem analysis culture
• Software development life cycle plan (SDLC)
• Service catalog and provisioning
• Continuous integration / continuous deployment
• Testing and validation

Analyzing and defining business processes. Considerations include:

• Stakeholder management (e.g. influencing and facilitation)
• Customer success management
• Cost optimization / resource optimization (capex / opex)
• Team assessment / skills readiness
• Change management
• Decision- making process

Developing procedures to ensure resilience of solution in production (e.g., chaos engineering)

5. Managing implementation

Advising development/operation team(s) to ensure successful deployment of the solution. considerations

• Data and system migration tooling
• Application development
• Testing frameworks (load/unit/integration)
• API best practices

Interacting with Google Cloud using GCP SDK (gcloud, gsutil, and bq) considerations

• Google Cloud Shell
• Local installation

6. Ensuring solution and operations reliability

• Monitoring/logging/profiling/alerting solution
• Deployment and release management
• Assisting with the support of solutions in operation
• Evaluating quality control measures

Reference: https://cloud.google.com/certification/cloud-architect

Google Professional-Cloud-Architect日本語 Exam Syllabus Topics: