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Google Cloud Certified Professional-Cloud-Architect

Professional-Cloud-Architect

Exam Code: Professional-Cloud-Architect

Exam Name: Google Certified Professional - Cloud Architect (GCP)

Updated: Aug 15, 2026

Q&A Number: 348 Q&As

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About Google Professional-Cloud-Architect Exam Braindumps

How much Google Professional Cloud Architect Exam cost

Google Professional Cloud Architect exam cost is $200 USD

Reference: https://cloud.google.com/certification/cloud-architect

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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

  • 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;
  • 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;
  • 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 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;

Google Professional-Cloud-Architect Exam Syllabus Topics:

SectionObjectives
Designing for security and compliance- Designing for security
  • 1. Application security
  • 2. Identity and Access Management (IAM)
  • 3. Data security and encryption
  • 4. Network security
- Designing for compliance
  • 1. Data residency and sovereignty
  • 2. Regulatory and compliance requirements
  • 3. Audit logging and monitoring
Managing and provisioning a solution infrastructure- Configuring compute systems
  • 1. GKE configuration and management
  • 2. Cloud Run and Cloud Functions
  • 3. Compute Engine configuration
- Configuring network topologies
  • 1. Private access and VPN configuration
  • 2. VPC design and peering
  • 3. Hybrid and multi-cloud connectivity
- Configuring individual storage systems
  • 1. Datastore and Bigtable
  • 2. Cloud Storage configuration
  • 3. Cloud SQL and Spanner
Ensuring solution and operations reliability- Assisting with support
  • 1. Incident response and troubleshooting
  • 2. Capacity planning and scaling
- Monitoring/logging/profiling/alerting solution
  • 1. Error reporting and alerting
  • 2. Performance profiling and tracing
  • 3. Cloud Monitoring and Cloud Logging
- Evaluating quality control measures
- Deployment and release management
  • 1. Deployment strategies and rollback
  • 2. Release management and versioning
Analyzing and optimizing technical and business processes- Analyzing and defining technical processes
  • 1. Incident management and troubleshooting
  • 2. CI/CD pipeline design
  • 3. Software development lifecycle (SDLC)
- Analyzing and defining business processes
  • 1. Stakeholder communication
  • 2. Cost management and optimization
  • 3. Business KPIs and metrics
Managing implementation- Interacting with Google Cloud programmatically
  • 1. Cloud SDK and gcloud CLI
  • 2. Infrastructure as Code (IaC)
  • 3. APIs and client libraries
- Advising development/operation team(s) to ensure successful deployment
  • 1. Testing and validation
  • 2. Application development best practices
  • 3. Deployment strategies
Designing and planning a cloud solution architecture- Designing network, storage, and compute resources
  • 1. Compute engine selection and configuration
  • 2. GKE cluster and workload design
  • 3. Network design including load balancing and firewall rules
  • 4. Storage options and data lifecycle management
- Creating a migration plan
  • 1. Refactoring and rearchitecting applications
  • 2. Identifying workloads for migration
  • 3. Planning data migration
- Enabling future cloud technology
  • 1. Implementing future-proof architectures
  • 2. Designing for scalability and elasticity
- Designing solution infrastructure that meets business requirements
  • 1. Cost optimization
  • 2. Data and storage architecture
  • 3. Integration with existing systems
  • 4. Networking and compute resources
  • 5. Migration planning
  • 6. Business use cases and product strategy

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