Who should take the Google Professional Cloud Architect exam

Individuals should pursue the Google Professional Cloud Architect Exam if they want to demonstrate their expertise and ability to design and develop Google Cloud architectures. It's perfect for solutions and/or enterprise architects, systems administrators or operations team members or simply any professional who wants in on this specific area of IT and cloud.

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Section #3. Designing for (and adhering to) security and rules

This section assesses the examinee’s knowledge of the concepts like separation of duties, IAM (Identity & access management), resource hierarchy, data security, key security controls, handling customer-managed encryption, remote access, and compliance designing. Legislation, industry certification, and auditing skills are also well covered in this section.

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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

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

Technical requirements considerations

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

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

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

Envisioning future solution improvements

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

2. Managing and provisioning a solution Infrastructure

Configuring network topologies

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

Configuring individual storage systems

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

Configuring compute systems

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

3. Designing for security and compliance

Security considerations

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

compliance Considerations

• 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)
• Audits (including logs)
• Industry certifications (e.g., SOC 2)

4. Analyzing and optimizing technical and business processes

Analyzing and defining technical processes considerations

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

Analyzing and defining business processes. Considerations include:

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

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)
• Application development
• API best practices
• Data and system migration tooling

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

• Google Cloud Shell
• Local installation

6. Ensuring solution and operations reliability

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

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

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