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Section #6. Improving and validating the reliability of processes and solutions

The final exam domain is compact and throws light on concepts like deployment & release management, evaluations of quality control measures, monitoring and logging solutions, and helping users through deployed aids for the same.

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

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Exam Details

The Google Professional Cloud Architect certificate requires one qualifying exam. This test is 2 hours long and consists of the multiple-choice and multiple-select questions. The applicants can take it in English or Japanese, but before registering, they are required to pay the fee of $200. The students can pass the exam online or on-site at one of the testing centers. You should check the certification webpage for more details regarding the registration and testing processes.

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.

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

Technical requirements considerations

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

Network, Storage, and Compute resources Considerations

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

Creating a migration plan

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

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

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

Configuring compute systems

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

3. Designing for security and compliance

Security considerations

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

compliance Considerations

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

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

Analyzing and defining business processes. Considerations include:

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

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

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

• Local installation
• Google Cloud Shell

6. Ensuring solution and operations reliability

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

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