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Prerequisites
There are no official requirements that the candidates for the Google Professional Cloud Architect certification need to satisfy. However, it is recommended that the applicants possess 3 or more years of industry experience, including at least 1 year of experience with designing and managing solutions using Google Cloud Platform. Their solid knowledge of the topics covered in the qualifying exam is also required.
Section #3. Designing for (and adhering to) security and rules
This section assesses the examinee’s knowledge of the concepts like separation of duties, IAM (Identity & access management), resource hierarchy, data security, key security controls, handling customer-managed encryption, remote access, and compliance designing. Legislation, industry certification, and auditing skills are also well covered in this section.
Managing & Provisioning Solution Infrastructures
- Configure network topologies: the examinees should have the ability to extend to hybrid and on-premises networking and multi-Cloud environment that may entail GCP to GCP communication. It also requires their understanding of data protection and security;
- Configure individual storage systems: the areas of focus should include data storage allocation; access management and security; data processing and compute provisioning; data lifecycle management and data retention; network configuration for the data latency and transfer;
- Configure compute systems: you should understand system provisioning; compute volatility configuration; container orchestration using Kubernetes; technology configuration for infrastructure provisioning; network configuration for the compute nodes.
Reference: https://cloud.google.com/certification/cloud-architect
Google Professional Cloud Architect Certified Professional salary
The average salary of a Google Professional Cloud Architect Certified Expert in
- Europe - 135,347 EURO
- United State - 151,247 USD
- India - 25,42,327 INR
- England - 115,632 POUND
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Google Professional-Cloud-Architect日本語 Exam Syllabus Topics:
| Section | Weight | Objectives |
| Topic 1: Managing implementation | 12.5% | - Guiding development and deployment teams
- 1. CI/CD pipelines and automation
- 2. Application and infrastructure deployment strategies
- Using Google Cloud tools and APIs programmatically
- 1. Infrastructure as Code (Terraform, Deployment Manager)
- 2. Cloud SDK, Cloud Shell, and Cloud Code
- Testing and validating solutions
- 1. Functional, performance, and security testing
- 2. Disaster recovery and failover testing
|
| Topic 2: Designing for security and compliance | 17.5% | - Enforcing compliance and governance
- 1. Security controls, auditing, and logging
- 2. VPC Service Controls and security perimeters
- Implementing identity and access management
- 1. Organizational policies and resource hierarchy
- 2. IAM roles, permissions, and service accounts
- Securing data and communications
- 1. Key management and secret security
- 2. Encryption at rest and in transit
|
| Topic 3: Analyzing and optimizing technical and business processes | 15% | - Improving reliability and performance
- 1. SLO, SLA, and error budgeting
- 2. Latency reduction and throughput optimization
- Optimizing cost and resource efficiency
- 1. Resource right-sizing and usage monitoring
- 2. Committed use discounts and pricing models
- Streamlining operational workflows
- 1. Change management and incident response
- 2. Stakeholder communication and alignment
|
| Topic 4: Ensuring solution and operations excellence | 12.5% | - Planning for continuous improvement
- 1. Technology updates and architecture evolution
- 2. Feedback loops and optimization cycles
- Applying Well-Architected Framework principles
- 1. Operational excellence, reliability, security, cost, and performance pillars
- Implementing monitoring, logging, and observability
- 1. Cloud Monitoring, Logging, and Error Reporting
- 2. Alerting, dashboarding, and root cause analysis
|
| Topic 5: Designing and planning a cloud solution architecture | 25% | - Designing cloud solution infrastructure aligned with business requirements
- 1. Compliance and regulatory requirements consideration
- 2. Scalability, high availability, and fault tolerance design
- 3. Cost optimization strategies
- Evaluating and selecting Google Cloud services
- 1. Serverless and managed service adoption
- 2. Compute, storage, database, and networking service selection
- Planning cloud migration and hybrid/multi-cloud environments
- 1. Interoperability and integration design
- 2. Data transfer and synchronization
- 3. Migration planning and execution
|
| Topic 6: Managing and provisioning solution infrastructure | 15% | - Managing storage and data services
- 1. Cloud Storage, Filestore, Persistent Disk management
- 2. Database deployment, replication, and backup
- Configuring network topologies and connectivity
- 1. Load balancing and CDN configuration
- 2. VPC design, peering, and hybrid connectivity
- Provisioning and managing compute resources
- 1. VMs, GKE, App Engine, Cloud Run deployment and management
- 2. Auto-scaling and resource management
|