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Target Audience

The certification is aimed at those Cloud Architects who are able to design, manage, and develop robust, scalable, secure, dynamic, and highly available solutions to drive their organizational business objectives. These specialists can perform the following tasks:

• manage the implementation of Cloud architecture;
• design, plan, and manage Cloud solution architectures;
• ensure the reliability of solutions and operations.
• design for compliance and security;
• evaluate and optimize the business and technical processes;

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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

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

Technical requirements considerations

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

Network, Storage, and Compute resources Considerations

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

Creating a migration plan

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

Envisioning future solution improvements

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

2. Managing and provisioning a solution Infrastructure

Configuring network topologies

• Extending to on-premises (hybrid networking)
• Security and data protection
• Extending to a multi-cloud environment that may include GCP to GCP communication

Configuring individual storage systems

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

Configuring compute systems

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

3. Designing for security and compliance

Security considerations

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

compliance Considerations

• 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)
• Audits (including logs)

4. Analyzing and optimizing technical and business processes

Analyzing and defining technical processes considerations

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

Analyzing and defining business processes. Considerations include:

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

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

Who should take the Google Professional Cloud Architect exam

Individuals should pursue the Google Professional Cloud Architect Exam if they want to demonstrate their expertise and ability to design and develop Google Cloud architectures. It's perfect for solutions and/or enterprise architects, systems administrators or operations team members or simply any professional who wants in on this specific area of IT and cloud.

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Managing Implementation

• Advice development and operation team to ensure the successful deployment of solutions: the areas of focus include application development; AIP best practices; data and system migration tool; testing framework;
• Interact with Google Cloud with the use of GCP SDK: this requires the test takers’ understanding of Google Cloud Shell and local installation.

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

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