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Section #5. Managing implementation
This section has two major topics and assesses the candidates’ skills in application development, system migration, data management, API development/usage best practices, and testing frameworks. Interacting with Google Cloud programmatically is the key focus of the second sub-topic. The main considerations here are Cloud Emulators, Google Cloud Shell, and Cloud SDK.
How much Google Professional Cloud Architect Exam cost
Google Professional Cloud Architect exam cost is $200 USD
Reference: https://cloud.google.com/certification/cloud-architect
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.
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.
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Google Professional-Cloud-Architect Exam Syllabus Topics:
| Section | Objectives |
| Managing implementation | - Advising development/operation team(s) to ensure successful deployment
- 1. Application development best practices
- 2. Testing and validation
- 3. Deployment strategies
- Interacting with Google Cloud programmatically
- 1. Cloud SDK and gcloud CLI
- 2. Infrastructure as Code (IaC)
- 3. APIs and client libraries
|
| Designing for security and compliance | - Designing for compliance
- 1. Data residency and sovereignty
- 2. Regulatory and compliance requirements
- 3. Audit logging and monitoring
- Designing for security
- 1. Application security
- 2. Identity and Access Management (IAM)
- 3. Data security and encryption
- 4. Network security
|
| Analyzing and optimizing technical and business processes | - Analyzing and defining business processes
- 1. Cost management and optimization
- 2. Business KPIs and metrics
- 3. Stakeholder communication
- Analyzing and defining technical processes
- 1. CI/CD pipeline design
- 2. Incident management and troubleshooting
- 3. Software development lifecycle (SDLC)
|
| Designing and planning a cloud solution architecture | - Designing solution infrastructure that meets business requirements
- 1. Migration planning
- 2. Business use cases and product strategy
- 3. Data and storage architecture
- 4. Cost optimization
- 5. Integration with existing systems
- 6. Networking and compute resources
- Creating a migration plan
- 1. Refactoring and rearchitecting applications
- 2. Identifying workloads for migration
- 3. Planning data migration
- Designing network, storage, and compute resources
- 1. Compute engine selection and configuration
- 2. GKE cluster and workload design
- 3. Network design including load balancing and firewall rules
- 4. Storage options and data lifecycle management
- Enabling future cloud technology
- 1. Implementing future-proof architectures
- 2. Designing for scalability and elasticity
|
| Ensuring solution and operations reliability | - Assisting with support
- 1. Incident response and troubleshooting
- 2. Capacity planning and scaling
- Deployment and release management
- 1. Deployment strategies and rollback
- 2. Release management and versioning
- Monitoring/logging/profiling/alerting solution
- 1. Cloud Monitoring and Cloud Logging
- 2. Error reporting and alerting
- 3. Performance profiling and tracing
- Evaluating quality control measures
|
| Managing and provisioning a solution infrastructure | - Configuring individual storage systems
- 1. Cloud Storage configuration
- 2. Datastore and Bigtable
- 3. Cloud SQL and Spanner
- Configuring compute systems
- 1. Cloud Run and Cloud Functions
- 2. Compute Engine configuration
- 3. GKE configuration and management
- Configuring network topologies
- 1. Hybrid and multi-cloud connectivity
- 2. VPC design and peering
- 3. Private access and VPN configuration
|