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
- Success measurements (e.g., key performance indicators [KPI], return on investment [ROI], metrics)
- Supporting the application design
- Business use cases and product strategy
- Movement of data
- Build, buy or modify
- Design decision trade-offs
- Compliance and observability
- Integration with external systems
Technical requirements considerations
- High availability and failover design
- Scalability to meet growth requirements
- Performance and latency
- Elasticity of cloud resources
Network, Storage, and Compute resources Considerations
- Cloud-native networking (VPC, peering, firewalls, container networking)
- Mapping compute needs to platform products
- Integration with on- premises/multi- cloud environments
- Choosing data processing technologies
- Choosing compute resources (e.g., preemptible, custom machine type, specialized workload)
- Choosing appropriate storage types (e.g., object, file, RDBMS, NoSQL, NewSQL)
Creating a migration plan
- Licensing mapping
- Network planning
- Migrating systems and data to support the solution
- Integrating solution with existing systems
- Dependency management planning
- Testing and proof of concept
Envisioning future solution improvements
- Cloud and technology improvements
- Evangelism and advocacy
- Business needs evolution
2. Managing and provisioning a solution Infrastructure
Configuring network topologies
- Extending to a multi-cloud environment that may include GCP to GCP communication
- Security and data protection
- Extending to on-premises (hybrid networking)
Configuring individual storage systems
- Data storage allocation
- Network configuration for data transfer and latency
- Data processing/compute provisioning
- Security and access management
- Data retention and data life cycle management
- Data growth management
Configuring compute systems
- Compute system provisioning
- Container orchestration with Kubernetes
- Network configuration for compute nodes
- Infrastructure provisioning technology configuration (e.g. Chef/Puppet/Ansible/Terraform/Deployment Manager)
- Compute volatility configuration (preemptible vs. standard)
3. Designing for security and compliance
Security considerations
- Separation of duties (SoD)
- Penetration testing
- Identity and access management (IAM)
- Data security (key management, encryption)
- Managing customer- managed encryption keys with Cloud KMS
- Security controls (e.g., auditing, VPC Service Controls organization policy)
- Resource hierarchy (organizations, folders, projects)
compliance Considerations
- 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)
- Audits (including logs)
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)
- Business continuity and disaster recovery
- Continuous integration / continuous deployment
- Service catalog and provisioning
- Testing and validation
Analyzing and defining business processes. Considerations include:
- Team assessment / skills readiness
- Change management
- Customer success management
- Stakeholder management (e.g. influencing and facilitation)
- Cost optimization / resource optimization (capex / opex)
- 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
- Application development
- API best practices
- Testing frameworks (load/unit/integration)
- Data and system migration tooling
Interacting with Google Cloud using GCP SDK (gcloud, gsutil, and bq) considerations
- Google Cloud Shell
- Local installation
6. Ensuring solution and operations reliability
- Evaluating quality control measures
- Deployment and release management
- Assisting with the support of solutions in operation
- Monitoring/logging/profiling/alerting solution
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Ensuring Operations and Solution Reliability
- Assist with solutions support within the operation;
- Monitor, log, profile, and alert solutions;
- Evaluate quality control measures.
- Deploy and release management;
Getting Ready for the Exam
Following training courses is a great way to be exam-ready. Enrolling in the programs like Architecting with Google Cloud: Design and Process, Google Cloud Fundamentals: Core Infrastructure, and Architecting with Google Compute Engine will help you gain mastery over the test’s content.
Reference: https://cloud.google.com/certification/cloud-architect
What is the duration, language, and format of Google Professional Cloud Architect Exam
- Length of Examination: 120 minutes
- Passing score: 80%
- Language: Google Professional Cloud Architect offered in English (U.S.), Japanese, Spanish, and Portuguese
- Number of Questions: 50-60
- Recommended experience: 3+ years of industry experience including 1+ years designing and managing solutions using GCP
- Format: Multiple choices, multiple answers
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Google Professional-Cloud-Architect Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Design for security and compliance | - Configure data protection and encryption - Implement identity and access management (IAM) |
| Manage and provision the solution infrastructure | - Provision compute, storage, and network resources - Automate infrastructure deployment |
| Analyze and optimize technical and business processes | - Monitor, log, and optimize system performance - Optimize cost and resource usage |
| Manage implementations of cloud architecture | - Manage deployment and production systems - Ensure solution reliability and operational excellence |
| Design and plan a cloud solution architecture | - Design for reliability, scalability, and availability - Plan security and compliance requirements - Design Google Cloud solutions based on business requirements |
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