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:

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

Google Professional-Cloud-Architect Exam Syllabus Topics:

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

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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

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

Technical requirements considerations

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

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)
• Choosing data processing technologies
• Mapping compute needs to platform products
• Cloud-native networking (VPC, peering, firewalls, container networking)
• Integration with on- premises/multi- cloud environments

Creating a migration plan

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

Envisioning future solution improvements

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

2. Managing and provisioning a solution Infrastructure

Configuring network topologies

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

Configuring individual storage systems

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

Configuring compute systems

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

3. Designing for security and compliance

Security considerations

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

compliance Considerations

• Audits (including logs)
• Legislation (e.g., health record privacy, children's privacy, data privacy, and ownership)
• Industry certifications (e.g., SOC 2)
• 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

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

Analyzing and defining business processes. Considerations include:

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

• API best practices
• Application development
• Testing frameworks (load/unit/integration)
• Data and system migration tooling

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

• Google Cloud Shell
• Local installation

6. Ensuring solution and operations reliability

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

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Exam Domains Overview

The entire syllabus is based on six domains and each tries to educate the learner about various Google Cloud technologies. They are disclosed below in detail:

Section #1. Designing and strategy-making for the Cloud Solution Architecture

Designing a Google Cloud solution as per business and technical needs, handling the cost optimization, data movement, observability, and compliance are some of the most talked-about topics under this module.

The applicants should also demonstrate their expertise regarding the concepts like architecting the storage, network, and compute solutions or resources, multi-cloud or on-premises integration, and fulfilling & monitoring the compute needs of the platform products, picking-up right data processing and related technologies.