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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
- Design decision trade-offs
- Business use cases and product strategy
- Success measurements (e.g., key performance indicators [KPI], return on investment [ROI], metrics)
- Compliance and observability
- Build, buy or modify
- Integration with external systems
- Cost optimization
- Supporting the application design
- Movement of data
Technical requirements considerations
- High availability and failover design
- Elasticity of cloud resources
- Performance and latency
- Scalability to meet growth requirements
Network, Storage, and Compute resources Considerations
- Choosing compute resources (e.g., preemptible, custom machine type, specialized workload)
- Cloud-native networking (VPC, peering, firewalls, container networking)
- Choosing data processing technologies
- Choosing appropriate storage types (e.g., object, file, RDBMS, NoSQL, NewSQL)
- Mapping compute needs to platform products
- Integration with on- premises/multi- cloud environments
Creating a migration plan
- Dependency management planning
- Integrating solution with existing systems
- Testing and proof of concept
- Licensing mapping
- Migrating systems and data to support the solution
- Network planning
Envisioning future solution improvements
- Cloud and technology improvements
- Evangelism and advocacy
- Business needs evolution
2. Managing and provisioning a solution Infrastructure
Configuring network topologies
- Security and data protection
- Extending to a multi-cloud environment that may include GCP to GCP communication
- Extending to on-premises (hybrid networking)
Configuring individual storage systems
- Network configuration for data transfer and latency
- Data processing/compute provisioning
- Data storage allocation
- Data retention and data life cycle management
- Data growth management
- Security and access management
Configuring compute systems
- Network configuration for compute nodes
- Compute system provisioning
- 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
- Identity and access management (IAM)
- Data security (key management, encryption)
- Resource hierarchy (organizations, folders, projects)
- Managing customer- managed encryption keys with Cloud KMS
- Penetration testing
- Security controls (e.g., auditing, VPC Service Controls organization policy)
- Separation of duties (SoD)
compliance Considerations
- Audits (including logs)
- Industry certifications (e.g., SOC 2)
- Commercial (e.g., sensitive data such as credit card information handling, personally identifiable information [PII])
- 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
- Business continuity and disaster recovery
- Software development life cycle plan (SDLC)
- Continuous integration / continuous deployment
- Service catalog and provisioning
- Testing and validation
Analyzing and defining business processes. Considerations include:
- Stakeholder management (e.g. influencing and facilitation)
- Decision- making process
- Change management
- Customer success management
- Cost optimization / resource optimization (capex / opex)
- 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
- Testing frameworks (load/unit/integration)
- Application development
- Data and system migration tooling
Interacting with Google Cloud using GCP SDK (gcloud, gsutil, and bq) considerations
- Local installation
- Google Cloud Shell
6. Ensuring solution and operations reliability
- Monitoring/logging/profiling/alerting solution
- Assisting with the support of solutions in operation
- Deployment and release management
- Evaluating quality control measures
Reference: https://cloud.google.com/certification/cloud-architect
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Test Details
This is a 2-hour test comprising two question formats, including multiple-choice and multiple-select items. This exam is available in English and Japanese and costs $200. You can take it as an online proctored exam or in person at the nearest testing center.
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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.
Exam Topics
The certification exam covers six domains. Each of them has a list of subtopics that the applicants should understand before taking the test. To develop competence in the content, it is recommended that you spend some time going over the exam guide and taking some practice tests. Below are the details of the subjects covered in the Google Professional Cloud Architect exam:
Designing & Planning Cloud Solution Architectures
- Envision future solutions enhancements: the individuals should understand the technology and Cloud improvements; evangelism and advocacy; business requirements evolution.
- Design a solution infrastructure that fulfills the technical prerequisites: the candidates must demonstrate their understanding of Cloud resources elasticity; failover design and high availability; latency and performance; scalability to fulfill growth needs;
- Design a solution infrastructure that fulfills the business prerequisites: this covers skills in cost optimization; product strategy and business use cases; integration with the external systems; supporting application designs; build-buy-or-modify; design decision trade-off; data movement; observability and compliance; success measurements;
- Create a migration plan: the students should be able to integrate the solution with current systems; migrate data and systems to support solutions; license mapping; test and proof concepts; network planning; dependency management strategy;
- Design network, compute, and storage resources: this covers one’s competence in selecting data processing technologies, relevant storage types, and compute resources; integration with multi-Cloud/on-premises environments; Cloud-native networking; mapping compute requirements for platform products;
Google Professional-Cloud-Architect Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Ensuring solution and operations reliability | - Deployment and release management
|
| Topic 2: Analyzing and optimizing technical and business processes | - Analyzing and defining technical processes
|
| Topic 3: Managing implementation | - Interacting with Google Cloud programmatically
|
| Topic 4: Designing and planning a cloud solution architecture | - Creating a migration plan
|
| Topic 5: Designing for security and compliance | - Designing for compliance
|
| Topic 6: Managing and provisioning a solution infrastructure | - Configuring compute systems
|
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