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)
• Movement of data
• Integration with external systems
• Build, buy or modify
• Cost optimization
• Design decision trade-offs
• Supporting the application design
• Business use cases and product strategy
• Compliance and observability

Technical requirements considerations

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

Network, Storage, and Compute resources Considerations

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

Creating a migration plan

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

• 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

• Network configuration for data transfer and latency
• Security and access management
• Data retention and data life cycle management
• 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
• Network configuration for compute nodes
• Compute volatility configuration (preemptible vs. standard)

3. Designing for security and compliance

Security considerations

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

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

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

Analyzing and defining business processes. Considerations include:

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

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

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

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

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Introduction

Google has designed a track for IT professionals to endorse as a cloud architect on the GCP platform. This accreditation program gives Google cloud professionals a way to endorse their skills. The evaluation relies on a meticulous exam using industry standard methodology to conclude whether or not a aspirant meets Google's proficiency standards.

According to Google, a Google Certified Professional Cloud Architect facilitate organizations to influence Google Cloud technologies. With a thorough understanding of cloud architecture and Google Cloud Platform, this individual can design, develop, and manage robust, secure, scalable, highly available, and dynamic solutions to drive business objectives.

Certification is evidence of your skills, expertise in those areas in which you like to work. If candidate wants to work on Google Professional Cloud Architect and prove his knowledge, Certification offered by Google. This Google Professional Cloud Architect Certification helps a candidate to validates his skills in Google Professional Cloud Architect Technology.

In this guide, we will cover the Google Professional Cloud Architect Exam, Google Professional Cloud Architect Certified Professionals salary and all aspects of the Google Professional Cloud Architect Certification.