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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

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

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

• 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)
• Mapping compute needs to platform products
• Integration with on- premises/multi- cloud environments
• Cloud-native networking (VPC, peering, firewalls, container networking)

Creating a migration plan

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

Envisioning future solution improvements

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

2. Managing and provisioning a solution Infrastructure

Configuring network topologies

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

Configuring individual storage systems

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

Configuring compute systems

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

3. Designing for security and compliance

Security considerations

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

compliance Considerations

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

4. Analyzing and optimizing technical and business processes

Analyzing and defining technical processes considerations

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

Analyzing and defining business processes. Considerations include:

• Team assessment / skills readiness
• Cost optimization / resource optimization (capex / opex)
• Decision- making process
• Change management
• Customer success management
• 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)
• 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
• Deployment and release management
• Evaluating quality control measures

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.

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Google Professional Cloud Architect Practice Test Questions, Google Professional Cloud Architect Exam Practice Test Questions

The Google Professional Cloud Architect certification equips the individuals with the ability to leverage Google Cloud technologies for their organizations. It offers the potential candidates an extensive understanding of Google Cloud Platform and Cloud architecture in general. Earning this certificate is a great way to grow your career in the ever-growing Cloud domain.

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