Google Google Cloud Certified Professional-Cloud-Architect

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.

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

Technical requirements considerations

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

Network, Storage, and Compute resources Considerations

• Choosing appropriate storage types (e.g., object, file, RDBMS, NoSQL, NewSQL)
• Choosing data processing technologies
• 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
• Integration with on- premises/multi- cloud environments

Creating a migration plan

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

Envisioning future solution improvements

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

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

• 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

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

3. Designing for security and compliance

Security considerations

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

compliance Considerations

• 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)
• Industry certifications (e.g., SOC 2)

4. Analyzing and optimizing technical and business processes

Analyzing and defining technical processes considerations

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

Analyzing and defining business processes. Considerations include:

• Cost optimization / resource optimization (capex / opex)
• Decision- making process
• Customer success management
• Change management
• Team assessment / skills readiness
• 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

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

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

The Google Professional Cloud Architect certification exam equips the individuals with the skills required to help enterprises apply Google Cloud technologies.

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

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Google Professional Cloud Architect Certified Professional salary

The average salary of a Google Professional Cloud Architect Certified Expert in

• India - 25,42,327 INR
• Europe - 135,347 EURO
• England - 115,632 POUND
• United State - 151,247 USD