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Managing & Provisioning Solution Infrastructures

• 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;
• 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.

Professionals willing to become a part of Google and excel at every career front can make this happen if they earn the Google Professional Cloud Architect certification. Passing its associated exam is the easiest way to leverage their abilities in Google Cloud Technologies and cement feet in the industry.

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

Technical requirements considerations

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

Network, Storage, and Compute resources Considerations

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

Creating a migration plan

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

Envisioning future solution improvements

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

2. Managing and provisioning a solution Infrastructure

Configuring network topologies

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

Configuring individual storage systems

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

Configuring compute systems

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

3. Designing for security and compliance

Security considerations

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

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

Analyzing and defining business processes. Considerations include:

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

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
• API best practices
• Application development
• Testing frameworks (load/unit/integration)

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

• Local installation
• Google Cloud Shell

6. Ensuring solution and operations reliability

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

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

Exam Domains Overview

The entire syllabus is based on six domains and each tries to educate the learner about various Google Cloud technologies. They are disclosed below in detail:

Section #1. Designing and strategy-making for the Cloud Solution Architecture

Designing a Google Cloud solution as per business and technical needs, handling the cost optimization, data movement, observability, and compliance are some of the most talked-about topics under this module.

The applicants should also demonstrate their expertise regarding the concepts like architecting the storage, network, and compute solutions or resources, multi-cloud or on-premises integration, and fulfilling & monitoring the compute needs of the platform products, picking-up right data processing and related technologies.

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