Google Professional-Cloud-Architect Exam Questions : Google Certified Professional - Cloud Architect (GCP)

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.

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

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Ensuring Operations and Solution Reliability

• Monitor, log, profile, and alert solutions;
• Deploy and release management;
• Evaluate quality control measures.
• Assist with solutions support within the operation;

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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

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

Technical requirements considerations

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

Network, Storage, and Compute resources Considerations

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

Creating a migration plan

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

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
• Extending to on-premises (hybrid networking)
• Security and data protection

Configuring individual storage systems

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

Configuring compute systems

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

3. Designing for security and compliance

Security considerations

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

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

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

Analyzing and defining business processes. Considerations include:

• Team assessment / skills readiness
• Change management
• Cost optimization / resource optimization (capex / opex)
• Customer success management
• Stakeholder management (e.g. influencing and facilitation)
• 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)
• Data and system migration tooling
• 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

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

Google Professional-Cloud-Architect Exam Syllabus Topics:

Google Certified Professional - Cloud Architect (GCP) Sample Questions: