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Prerequisites

There are no official requirements that the candidates for the Google Professional Cloud Architect certification need to satisfy. However, it is recommended that the applicants possess 3 or more years of industry experience, including at least 1 year of experience with designing and managing solutions using Google Cloud Platform. Their solid knowledge of the topics covered in the qualifying exam is also required.

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

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

Technical requirements considerations

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

Network, Storage, and Compute resources Considerations

• 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)
• Mapping compute needs to platform products
• Choosing appropriate storage types (e.g., object, file, RDBMS, NoSQL, NewSQL)
• Choosing data processing technologies

Creating a migration plan

• Integrating solution with existing systems
• Network planning
• 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

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

Configuring individual storage systems

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

Configuring compute systems

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

3. Designing for security and compliance

Security considerations

• Separation of duties (SoD)
• Resource hierarchy (organizations, folders, projects)
• 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)
• Penetration testing

compliance Considerations

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

4. Analyzing and optimizing technical and business processes

Analyzing and defining technical processes considerations

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

Analyzing and defining business processes. Considerations include:

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

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

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

• Local installation
• Google Cloud Shell

6. Ensuring solution and operations reliability

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

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

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