Google Certified Professional - Cloud Architect (GCP) - Professional-Cloud-Architect

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Google Professional Cloud Architect Practice Test Questions, Google Professional Cloud Architect Exam Practice Test Questions

The Google Professional Cloud Architect certification equips the individuals with the ability to leverage Google Cloud technologies for their organizations. It offers the potential candidates an extensive understanding of Google Cloud Platform and Cloud architecture in general. Earning this certificate is a great way to grow your career in the ever-growing Cloud domain.

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Analyzing & Optimizing Business and Technical Processes

• Analyze and define business processes: this entails stakeholder management (facilitation and influencing); decision-making process; change management; skill readiness and team assessment; cost optimization and resource optimization; customer success management; procedure development to ensure the resilience of solutions with production.
• Analyze and define technical processes: this area will require skills in testing and validation; software development lifecycle plan; troubleshooting and post mortem analysis culture; continuous deployment and continuous integration; service catalog and provisioning; disaster recovery and business continuity;

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

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

Technical requirements considerations

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

Network, Storage, and Compute resources Considerations

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

Creating a migration plan

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

Envisioning future solution improvements

• Cloud and technology improvements
• Business needs evolution
• 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 growth management
• Network configuration for data transfer and latency
• Security and access management
• Data storage allocation
• Data processing/compute provisioning
• Data retention and data life cycle management

Configuring compute systems

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

3. Designing for security and compliance

Security considerations

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

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

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

Analyzing and defining business processes. Considerations include:

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

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
• Application development
• Testing frameworks (load/unit/integration)

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

• Google Cloud Shell
• Local installation

6. Ensuring solution and operations reliability

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

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

Google Professional-Cloud-Architect Exam Syllabus Topics: