What Are Topics Covered by Google Professional Cloud Architect?

To increase your chances of success in this certification exam, you need to master its topics beforehand. This test covers six domains:

• Developing & Planning Cloud Solution Infrastructure

The Google Professional Cloud Architect exam is premised on issues to do with developing solution architectures that comply with business demands. The considerations included here are such as business use scenarios as well as product strategy, cost optimization, data movement, success measurements, and compliance with observability. It also scrutinizes how to develop infrastructure that complies with technical specifications. This is where factors like high availability, elasticity, failover design, scalability, performance as well as latency are covered. The next segments are about developing network, compute, and storage resources, creating a plan for migration and envisioning future improvements in solutions. The last bit looks at improvements on cloud in addition to technology, the evolution of enterprise needs, and advocacy and evangelism.

• Managing & Provisioning Solution Infrastructure

To manage and provision architectural solutions, candidates must focus on mastering how to configure topologies on networks. Concerned here are matters like hybrid networking, extending to environments like multi-cloud, data protection, and security. The next part concerns configuring storage systems and has considerations like allocation for data storage, data processing, access management and security, data retention, and growth management for data. Mastering abilities in compute systems is another tested area. It has considerations like provisioning for compute systems, the configuration of compute volatility, network configuration targeting compute nodes, and container orchestration using Kubernetes.

• Developing for Security & Compliance

The Professional Cloud Architect exam also concerns developing for security & compliance. The first part regarding security includes considerations like IAM, resource hierarchy such as folders, organizations, and projects, data security, penetration testing, separation of duties, and managing customers and their encryption keys. The second piece focuses on developing for compliance and considers matters like legislation, commercial, industry certifications like SOC 2, and audits with logs.

• Analyzing & Enhancing Technical & Business Processes

The first task is to analyze and define technical processes where considerations are such as SDLC (Software Development Life Cycle), continuous integration and deployment, troubleshooting, testing as well as validation, service catalogs, disaster recovery, and business continuity. Next is to study how to analyze and define business processes. This considers stakeholder management, change management, team assessment, the management of customer success, and cost optimization. To close this domain is creating procedures to make sure that there is resilience during solution production. An issue to consider in this case is, for example, chaos engineering.

• Managing Implementation

The Google Professional Cloud Architect exam is also about managing implementation. Thus, included here are matters like advising development or operation teams to make sure that solution deployment is successful. Additionally, issues to consider are such as application development, best practices for API, testing frameworks, and system & data migration tooling. This section also scrutinizes how to interact with the cloud by using GCP SDK (gcloud, gsutil, as well as bq), where the deliberations involved are location installation and Google Cloud Shell.

• Ensuring Reliability in Solutions & Operations

This concluding topic concerns such notions as controlling, profiling, logging, and alerting solutions. In addition, candidates will have to be aware of deploying and releasing management and should be equipped with the knowledge of offering assistance by supporting solutions that currently are in operation. To close this area there is an evaluation of measures for quality control.

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.

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.

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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

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

Technical requirements considerations

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

Network, Storage, and Compute resources Considerations

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

Creating a migration plan

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

Envisioning future solution improvements

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

2. Managing and provisioning a solution Infrastructure

Configuring network topologies

• Extending to on-premises (hybrid networking)
• Extending to a multi-cloud environment that may include GCP to GCP communication
• Security and data protection

Configuring individual storage systems

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

Configuring compute systems

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

3. Designing for security and compliance

Security considerations

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

compliance Considerations

• Audits (including logs)
• Industry certifications (e.g., SOC 2)
• 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])

4. Analyzing and optimizing technical and business processes

Analyzing and defining technical processes considerations

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

Analyzing and defining business processes. Considerations include:

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

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

• Google Cloud Shell
• Local installation

6. Ensuring solution and operations reliability

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

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

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