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
• Success measurements (e.g., key performance indicators [KPI], return on investment [ROI], metrics)
• Build, buy or modify
• Design decision trade-offs
• Compliance and observability
• Movement of data
• Supporting the application design

Technical requirements considerations

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

Network, Storage, and Compute resources Considerations

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

Creating a migration plan

• Network planning
• Migrating systems and data to support the solution
• Dependency management planning
• Testing and proof of concept
• Integrating solution with existing systems
• 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 a multi-cloud environment that may include GCP to GCP communication
• Extending to on-premises (hybrid networking)

Configuring individual storage systems

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

Configuring compute systems

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

3. Designing for security and compliance

Security considerations

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

compliance Considerations

• Audits (including logs)
• 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)

4. Analyzing and optimizing technical and business processes

Analyzing and defining technical processes considerations

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

Analyzing and defining business processes. Considerations include:

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

• Local installation
• Google Cloud Shell

6. Ensuring solution and operations reliability

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

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Career Opportunities

Building a career in the field of IT requires some level of commitment. One of the areas where this commitment is required is obtaining the certifications. With an IT certificate, you can increase your access to numerous career opportunities and earn attractive remuneration. For the holders of the Google Professional Cloud Architect certification, there are many job roles that they can take up. Some of them include a Google Cloud Architect, a Technical Cloud Architect, a Google Cloud Platform Delivery Architect, a Google Cloud Data Architect, and an Enterprise Architect. These positions come with attractive salaries averaging $120,000 per annum. The specialists with some years of experience can get as much as $180,000.

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

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