Exam Overview
The qualifying test for the Google Professional Cloud Architect certification is 2 hours long. The questions administered during the exam can be presented as multiple-select and multiple-choice items. The test is delivered in English or Japanese and can be taken by the students either online from a remote location or in-person at the authorized testing center. To check the location of the nearest center, you can use the search on the official website. To schedule the exam, each applicant is required to pay the registration fee of $200, plus applicable taxes.
What is the duration, language, and format of Google Professional Cloud Architect Exam
- Language: Google Professional Cloud Architect offered in English (U.S.), Japanese, Spanish, and Portuguese
- Format: Multiple choices, multiple answers
- Passing score: 80%
- Recommended experience: 3+ years of industry experience including 1+ years designing and managing solutions using GCP
- Length of Examination: 120 minutes
- Number of Questions: 50-60
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Ensuring Operations and Solution Reliability
- Evaluate quality control measures.
- Monitor, log, profile, and alert solutions;
- Assist with solutions support within the operation;
- Deploy and release management;
Reference: https://cloud.google.com/certification/cloud-architect
Section #2. Handling the solution’s infrastructure
The key knowledge area covered in this domain includes the development of an on-premises environment, designing a setup with multiple clouds, security concepts, and storage space allotment for diverse data.
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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. Deployment strategies
- 2. Application development best practices
- 3. Testing and validation
- Interacting with Google Cloud programmatically
- 1. APIs and client libraries
- 2. Infrastructure as Code (IaC)
- 3. Cloud SDK and gcloud CLI
|
| Ensuring solution and operations reliability | - Monitoring/logging/profiling/alerting solution
- 1. Cloud Monitoring and Cloud Logging
- 2. Error reporting and alerting
- 3. Performance profiling and tracing
- Deployment and release management
- 1. Deployment strategies and rollback
- 2. Release management and versioning
- Assisting with support
- 1. Incident response and troubleshooting
- 2. Capacity planning and scaling
- Evaluating quality control measures
|
| Designing and planning a cloud solution architecture | - Creating a migration plan
- 1. Refactoring and rearchitecting applications
- 2. Planning data migration
- 3. Identifying workloads for migration
- Enabling future cloud technology
- 1. Implementing future-proof architectures
- 2. Designing for scalability and elasticity
- Designing network, storage, and compute resources
- 1. Storage options and data lifecycle management
- 2. Network design including load balancing and firewall rules
- 3. Compute engine selection and configuration
- 4. GKE cluster and workload design
- Designing solution infrastructure that meets business requirements
- 1. Data and storage architecture
- 2. Migration planning
- 3. Networking and compute resources
- 4. Business use cases and product strategy
- 5. Cost optimization
- 6. Integration with existing systems
|
| Designing for security and compliance | - Designing for security
- 1. Data security and encryption
- 2. Application security
- 3. Identity and Access Management (IAM)
- 4. Network security
- Designing for compliance
- 1. Regulatory and compliance requirements
- 2. Data residency and sovereignty
- 3. Audit logging and monitoring
|
| Managing and provisioning a solution infrastructure | - Configuring network topologies
- 1. VPC design and peering
- 2. Hybrid and multi-cloud connectivity
- 3. Private access and VPN configuration
- Configuring individual storage systems
- 1. Cloud SQL and Spanner
- 2. Datastore and Bigtable
- 3. Cloud Storage configuration
- Configuring compute systems
- 1. GKE configuration and management
- 2. Cloud Run and Cloud Functions
- 3. Compute Engine configuration
|
| Analyzing and optimizing technical and business processes | - Analyzing and defining technical processes
- 1. CI/CD pipeline design
- 2. Incident management and troubleshooting
- 3. Software development lifecycle (SDLC)
- Analyzing and defining business processes
- 1. Cost management and optimization
- 2. Business KPIs and metrics
- 3. Stakeholder communication
|