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Ensuring Operations and Solution Reliability

Assist with solutions support within the operation;
Monitor, log, profile, and alert solutions;
Deploy and release management;
Evaluate quality control measures.

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

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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.

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

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

Technical requirements considerations

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

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
Cloud-native networking (VPC, peering, firewalls, container networking)
Choosing data processing technologies

Creating a migration plan

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

Envisioning future solution improvements

Business needs evolution
Evangelism and advocacy
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 processing/compute provisioning
Data retention and data life cycle management
Security and access management
Data storage allocation
Data growth management

Configuring compute systems

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

3. Designing for security and compliance

Security considerations

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

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