Google Professional-Cloud-Architect Value Pack (Frequently Bought Together)

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

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

Technical requirements considerations

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

Network, Storage, and Compute resources Considerations

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

Creating a migration plan

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

Envisioning future solution improvements

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

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

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

Configuring compute systems

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

3. Designing for security and compliance

Security considerations

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

compliance Considerations

• 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)
• Audits (including logs)

4. Analyzing and optimizing technical and business processes

Analyzing and defining technical processes considerations

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

Analyzing and defining business processes. Considerations include:

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

Interacting with Google Cloud using GCP SDK (gcloud, gsutil, and bq) considerations

• Local installation
• Google Cloud Shell

6. Ensuring solution and operations reliability

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

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How to study the Google Professional Cloud Architect Exam

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

Google Professional Cloud Architect Certified Professional salary

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

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

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.

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