Recommended Experience

Officially, there are no prerequisites to be fulfilled before taking-up the Google Professional Cloud Architect exam. Anyone who wants to polish their knowledge of Google Cloud and aim at an architect role can apply for it.

However, it is recommended to have a minimum of 3+ years of industry experience before anyone enrolls in the test. These should also include 1+ years of experience in designing solutions as well as managing them using GCP. Such a base will make the exam journey a bit more simplified.

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

Difficulty in writing the Google Professional Cloud Architect Exam

Google Professional Cloud Architect Certification is a most privileged achievement one could be graced with. It is one of the highest level of certification in the Google. This Certification consisting of real time scenarios and practical experience which make it difficult for the candidate to get through with the Google Professional Cloud Architect Exam. If the candidates have proper preparation material to pass the Google Professional Cloud Architect exam with good grades. Questions answers and clarifications which are designed in form of TrainingQuiz exam dumps make sure to cover entire course content. TrainingQuiz have a brilliant Google Professional Cloud Architect exam dumps with the foremost latest and vital queries and answers in PDF format. TrainingQuiz is sure about the exactness and legitimacy of Google Professional Cloud Architect exam dumps and in this manner. Candidates can easily pass the Google Professional Cloud Architect exam with genuine Google Professional Cloud Architect exam dumps and get Google Professional Cloud Architect certification skillful surely. These exam dumps are viewed as the best source to understand the Google Professional Cloud Architect Certification well by simply perusing these example questions and answers. if the candidate complete practice the exam with certification Google Professional Cloud Architect exam dumps along with self-assessment to get the proper idea on Google accreditation and to ace the certification exam.

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

Technical requirements considerations

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

Network, Storage, and Compute resources Considerations

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

Creating a migration plan

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

Envisioning future solution improvements

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

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

• 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
• Data growth management

Configuring compute systems

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

3. Designing for security and compliance

Security considerations

• 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
• Separation of duties (SoD)
• Identity and access management (IAM)
• Penetration testing

compliance Considerations

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

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

Analyzing and defining business processes. Considerations include:

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

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

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
• Assisting with the support of solutions in operation
• Evaluating quality control measures