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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.
Reference: https://cloud.google.com/certification/cloud-architect
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.
Google Professional Cloud Architect Prerequisites
There are no official prerequisites for taking the Professional Cloud Architect exam, except passing a single qualifying exam. However, it is recommended that the candidates have about three years of practical experience, including one year of designing and managing solutions with the help of Google Cloud Platform.
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Target Audience
The certification is aimed at those Cloud Architects who are able to design, manage, and develop robust, scalable, secure, dynamic, and highly available solutions to drive their organizational business objectives. These specialists can perform the following tasks:
- manage the implementation of Cloud architecture;
- ensure the reliability of solutions and operations.
- design for compliance and security;
- evaluate and optimize the business and technical processes;
- design, plan, and manage Cloud solution architectures;
Google Professional-Cloud-Architect Exam Syllabus Topics:
| Section | Weight | Objectives |
| Designing and planning a cloud solution architecture | 25% | - Designing cloud solution infrastructure aligned with business requirements
- 1. Cost optimization strategies
- 2. Scalability, high availability, and fault tolerance design
- 3. Compliance and regulatory requirements consideration
- Evaluating and selecting Google Cloud services
- 1. Compute, storage, database, and networking service selection
- 2. Serverless and managed service adoption
- Planning cloud migration and hybrid/multi-cloud environments
- 1. Interoperability and integration design
- 2. Migration planning and execution
- 3. Data transfer and synchronization
|
| Managing and provisioning solution infrastructure | 15% | - Configuring network topologies and connectivity
- 1. Load balancing and CDN configuration
- 2. VPC design, peering, and hybrid connectivity
- Managing storage and data services
- 1. Cloud Storage, Filestore, Persistent Disk management
- 2. Database deployment, replication, and backup
- Provisioning and managing compute resources
- 1. VMs, GKE, App Engine, Cloud Run deployment and management
- 2. Auto-scaling and resource management
|
| Designing for security and compliance | 17.5% | - Enforcing compliance and governance
- 1. VPC Service Controls and security perimeters
- 2. Security controls, auditing, and logging
- Securing data and communications
- 1. Key management and secret security
- 2. Encryption at rest and in transit
- Implementing identity and access management
- 1. Organizational policies and resource hierarchy
- 2. IAM roles, permissions, and service accounts
|
| Ensuring solution and operations excellence | 12.5% | - Planning for continuous improvement
- 1. Feedback loops and optimization cycles
- 2. Technology updates and architecture evolution
- Implementing monitoring, logging, and observability
- 1. Cloud Monitoring, Logging, and Error Reporting
- 2. Alerting, dashboarding, and root cause analysis
- Applying Well-Architected Framework principles
- 1. Operational excellence, reliability, security, cost, and performance pillars
|
| Analyzing and optimizing technical and business processes | 15% | - 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
- Improving reliability and performance
- 1. Latency reduction and throughput optimization
- 2. SLO, SLA, and error budgeting
|
| Managing implementation | 12.5% | - Testing and validating solutions
- 1. Disaster recovery and failover testing
- 2. Functional, performance, and security testing
- Using Google Cloud tools and APIs programmatically
- 1. Infrastructure as Code (Terraform, Deployment Manager)
- 2. Cloud SDK, Cloud Shell, and Cloud Code
- Guiding development and deployment teams
- 1. Application and infrastructure deployment strategies
- 2. CI/CD pipelines and automation
|