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Expected Skills, Responsibilities, and Salary for Cloud Architect

Cloud technology covers varying computing services like software, servers, and storage. In particular, cloud architects perform tasks like creating and implementing the cloud services of an organization, which includes security policies and cloud optimization. Cloud architects also focus on making sure that the content of the cloud is always accessible and secure for those individuals who use it. It's all about proficiency in the aspects like strategies for enterprise cloud, designing solutions, and best practices for architecture. To know more, there is also the issue touching on methodologies for software development. This includes multi-layered apps availed within the hybrid or multi-cloud environments. On acing the related test and possessing the Google Professional Cloud Architect certification, you can work in a variety of firms, which may as well include service providers in IT. You may also have to travel to meet your clientele and your duties will vary depending on the organization you'll be working for. However, the general tasks include developing and deploying cloud solutions and collaborating with your workmates so that there is streamlining when transitioning to the cloud. The salary for cloud architects as offered by ZipRecruiter.com is almost $136k per year.

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Section #4. Auditing and optimizing business as well as technical processes

The key focus areas of this domain are performing the SDLC management, continuous integration, change management, and best practices for troubleshooting or bug-finding. Verifying and testing of software solutions and infrastructure, disaster recovery, business continuity, and service catalogue are also discussed in here.

Another sub-section is all about the business process’ defining & analysing, stakeholder management, team management, and decision-making workflow.

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

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Google Professional Cloud Architect Prerequisites

There are no official prerequisites for taking the Professional Cloud Architect exam, except passing a single qualifying exam. However, it is recommended that the candidates have about three years of practical experience, including one year of designing and managing solutions with the help of Google Cloud Platform.

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

Technical requirements considerations

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

Network, Storage, and Compute resources Considerations

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

Creating a migration plan

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

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

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

compliance Considerations

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

4. Analyzing and optimizing technical and business processes

Analyzing and defining technical processes considerations

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

Analyzing and defining business processes. Considerations include:

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

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
• Evaluating quality control measures
• Monitoring/logging/profiling/alerting solution

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