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

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

Technical requirements considerations

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

Network, Storage, and Compute resources Considerations

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

Creating a migration plan

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

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)
• Extending to a multi-cloud environment that may include GCP to GCP communication
• Security and data protection

Configuring individual storage systems

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

Configuring compute systems

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

3. Designing for security and compliance

Security considerations

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

compliance Considerations

• Commercial (e.g., sensitive data such as credit card information handling, personally identifiable information [PII])
• Audits (including logs)
• 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

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

Analyzing and defining business processes. Considerations include:

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

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

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

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The Google Professional Cloud Architect certification validates the individuals’ knowledge and skills required for a successful career in the domain of Cloud architecture. Specifically, this certificate demonstrates that the candidates have the expertise in designing and planning Cloud solution architecture, managing and provisioning Cloud solution infrastructure, designing for security and compliance, and more. To earn this sought-after certification, the applicants need to take a single qualifying test.

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Google Professional Cloud Architect Prerequisites

There are no official prerequisites for taking the Professional Cloud Architect exam, except passing a single qualifying exam. However, it is recommended that the candidates have about three years of practical experience, including one year of designing and managing solutions with the help of Google Cloud Platform.

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

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