Google Professional-Cloud-Architect real exam prep : Google Certified Professional - Cloud Architect (GCP)

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Introduction to Google Professional Cloud Architect Exam

Google Professional Cloud Architect Exam is a certification exam that is conducted by Google to validates candidate knowledge and skills of working as a Professional Cloud Architect in the IT industry.

After passing this exam, candidates get a certificate from Google that helps them to demonstrate their proficiency in Google Professional Cloud Architect to their clients and employers.

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

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

Technical requirements considerations

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

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)
• Integration with on- premises/multi- cloud environments
• Choosing data processing technologies
• Cloud-native networking (VPC, peering, firewalls, container networking)
• Mapping compute needs to platform products

Creating a migration plan

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

Envisioning future solution improvements

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

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

Configuring compute systems

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

3. Designing for security and compliance

Security considerations

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

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

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

Analyzing and defining business processes. Considerations include:

• Team assessment / skills readiness
• Cost optimization / resource optimization (capex / opex)
• Customer success management
• Change 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

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

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

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Target Audience

The certification is aimed at those Cloud Architects who are able to design, manage, and develop robust, scalable, secure, dynamic, and highly available solutions to drive their organizational business objectives. These specialists can perform the following tasks:

• manage the implementation of Cloud architecture;
• evaluate and optimize the business and technical processes;
• design for compliance and security;
• ensure the reliability of solutions and operations.
• design, plan, and manage Cloud solution architectures;

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Google Professional-Cloud-Architect Exam Syllabus Topics: