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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

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

Technical requirements considerations

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

Network, Storage, and Compute resources Considerations

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

Creating a migration plan

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

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

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

Configuring compute systems

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

3. Designing for security and compliance

Security considerations

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

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

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

Analyzing and defining business processes. Considerations include:

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

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
• Data and system migration tooling
• Application development

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

• Local installation
• Google Cloud Shell

6. Ensuring solution and operations reliability

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

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

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Prerequisites

The recommended industry experience for the potential candidates is at least three years and an additional one year of experience in designing and managing solutions with the use of GCP. You must also understand the content of the corresponding exam before sitting for it. It is also recommended that you have expertise in software development methodologies as well as different approaches such as multi-tiered distributed applications for hybrid and multi-Cloud environments.

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Google Professional-Cloud-Architect Exam Syllabus Topics: