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

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

Technical requirements considerations

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

Network, Storage, and Compute resources Considerations

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

Creating a migration plan

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

Envisioning future solution improvements

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

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

Configuring compute systems

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

3. Designing for security and compliance

Security considerations

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

compliance Considerations

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

4. Analyzing and optimizing technical and business processes

Analyzing and defining technical processes considerations

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

Analyzing and defining business processes. Considerations include:

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

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

Designing for Compliance and Security

• Design for compliance: this covers one’s knowledge of legislation (health record privacy, data privacy, ownership, and children’s privacy); commercial (sensitive data handling and personally identifiable information); industry certifications (SOC 2); audits (such as logs).
• Design for security: the learners need to gain knowledge of penetration testing; identity and access management; resource hierarchy; separation of duties; security control; data security; customer-managed encryption key management with Cloud KMS;

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Target Audience

The certification is aimed at those Cloud Architects who are able to design, manage, and develop robust, scalable, secure, dynamic, and highly available solutions to drive their organizational business objectives. These specialists can perform the following tasks:

• design for compliance and security;
• design, plan, and manage Cloud solution architectures;
• manage the implementation of Cloud architecture;
• ensure the reliability of solutions and operations.
• evaluate and optimize the business and technical processes;

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