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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.

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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.

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

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

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

Technical requirements considerations

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

Network, Storage, and Compute resources Considerations

• 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
• Choosing compute resources (e.g., preemptible, custom machine type, specialized workload)

Creating a migration plan

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

Envisioning future solution improvements

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

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
• Security and access management
• Data growth management
• Data processing/compute provisioning
• Data storage allocation
• Data retention and data life cycle management

Configuring compute systems

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

3. Designing for security and compliance

Security considerations

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

compliance Considerations

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

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

Analyzing and defining business processes. Considerations include:

• Team assessment / skills readiness
• Change management
• Stakeholder management (e.g. influencing and facilitation)
• 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)
• Data and system migration tooling
• API best practices
• 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

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

Google Professional-Cloud-Architect日本語 Exam Syllabus Topics: