Google Professional-Cloud-Architect

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.

Along with the coming of the information age, the excellent IT skills are the primary criterion for selecting talent of enterprises. Google Certification gives an IT a credential that is recognized in the IT industry. It can act as a passport to a well-rewarded job, smooth the path to promotion or higher earnings. Here, Google certification Professional-Cloud-Architect exam (Google Certified Professional - Cloud Architect (GCP)) is a very important exam to help you get better progress and to test your IT skills.

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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

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

Technical requirements considerations

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

Network, Storage, and Compute resources Considerations

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

Creating a migration plan

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

Envisioning future solution improvements

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

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

Configuring compute systems

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

3. Designing for security and compliance

Security considerations

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

compliance Considerations

• Audits (including logs)
• Legislation (e.g., health record privacy, children's privacy, data privacy, and ownership)
• Commercial (e.g., sensitive data such as credit card information handling, personally identifiable information [PII])
• Industry certifications (e.g., SOC 2)

4. Analyzing and optimizing technical and business processes

Analyzing and defining technical processes considerations

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

Analyzing and defining business processes. Considerations include:

• Decision- making process
• Team assessment / skills readiness
• Change management
• Cost optimization / resource optimization (capex / opex)
• 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

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

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
• Assisting with the support of solutions in operation
• Evaluating quality control measures
• Deployment and release management

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