The benefit of obtaining the Google Professional Cloud Architect Exam Certification

• Google Professional Cloud Architect will be confident and stand different from others as their skills are more trained than non-certified professionals.
• Google Professional Cloud Architect certification has more useful and relevant networks that help them in setting career goals for themselves. Google Professional Cloud Architect networks provide them with the correct career guidance than non certified generally are unable to get.
• Google Professional Cloud Architect Certification is distinguished among competitors. Google Professional Cloud Architect certification can give them an edge at that time easily when candidates appear for employment interview, employers are very fascinated to note one thing that differentiates the individual from all other candidates.
• Google Professional Cloud Architect Certifications provide opportunities to get a job easily in which they are interested in instead of wasting years and ending without getting any experience.
• Google Professional Cloud Architect Certification provides practical experience to candidates from all the aspects to be a proficient worker in the organization.
• Google Professional Cloud Architect Exam provide proven knowledge to use the tools to complete the task efficiently and cost effectively than the other non-certified professionals lack in doing so.

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How much Google Professional Cloud Architect Exam cost

Google Professional Cloud Architect exam cost is $200 USD

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

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

Technical requirements considerations

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

Network, Storage, and Compute resources Considerations

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

Creating a migration plan

• Network planning
• Integrating solution with existing systems
• Testing and proof of concept
• Licensing mapping
• Migrating systems and data to support the solution
• 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)
• Extending to a multi-cloud environment that may include GCP to GCP communication
• Security and data protection

Configuring individual storage systems

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

Configuring compute systems

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

3. Designing for security and compliance

Security considerations

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

compliance Considerations

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

4. Analyzing and optimizing technical and business processes

Analyzing and defining technical processes considerations

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

Analyzing and defining business processes. Considerations include:

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

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

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Getting Ready for the Exam

Following training courses is a great way to be exam-ready. Enrolling in the programs like Architecting with Google Cloud: Design and Process, Google Cloud Fundamentals: Core Infrastructure, and Architecting with Google Compute Engine will help you gain mastery over the test’s content.

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