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

  • Exam Code: Professional-Cloud-Architect
  • Exam Name: Google Certified Professional - Cloud Architect (GCP)
  • Updated: Oct 04, 2026
  • Q & A: 353 Questions and Answers

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About Google Professional-Cloud-Architect Exam

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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

  • Supporting the application design
  • Cost optimization
  • Movement of data
  • Business use cases and product strategy
  • Compliance and observability
  • Success measurements (e.g., key performance indicators [KPI], return on investment [ROI], metrics)
  • Design decision trade-offs
  • Integration with external systems
  • Build, buy or modify

Technical requirements considerations

  • Elasticity of cloud resources
  • Performance and latency
  • Scalability to meet growth requirements
  • High availability and failover design

Network, Storage, and Compute resources Considerations

  • Choosing compute resources (e.g., preemptible, custom machine type, specialized workload)
  • Integration with on- premises/multi- cloud environments
  • Mapping compute needs to platform products
  • Cloud-native networking (VPC, peering, firewalls, container networking)
  • Choosing appropriate storage types (e.g., object, file, RDBMS, NoSQL, NewSQL)
  • Choosing data processing technologies

Creating a migration plan

  • Network planning
  • Testing and proof of concept
  • Integrating solution with existing systems
  • Licensing mapping
  • Dependency management planning
  • Migrating systems and data to support the solution

Envisioning future solution improvements

  • Business needs evolution
  • Cloud and technology improvements
  • Evangelism and advocacy

2. Managing and provisioning a solution Infrastructure

Configuring network topologies

  • Extending to on-premises (hybrid networking)
  • Extending to a multi-cloud environment that may include GCP to GCP communication
  • Security and data protection

Configuring individual storage systems

  • Security and access management
  • Network configuration for data transfer and latency
  • Data processing/compute provisioning
  • Data growth management
  • Data storage allocation
  • Data retention and data life cycle management

Configuring compute systems

  • Network configuration for compute nodes
  • Compute volatility configuration (preemptible vs. standard)
  • Infrastructure provisioning technology configuration (e.g. Chef/Puppet/Ansible/Terraform/Deployment Manager)
  • Container orchestration with Kubernetes
  • Compute system provisioning

3. Designing for security and compliance

Security considerations

  • Managing customer- managed encryption keys with Cloud KMS
  • Separation of duties (SoD)
  • Penetration testing
  • Security controls (e.g., auditing, VPC Service Controls organization policy)
  • Resource hierarchy (organizations, folders, projects)
  • Identity and access management (IAM)
  • Data security (key management, encryption)

compliance Considerations

  • Audits (including logs)
  • Legislation (e.g., health record privacy, children's privacy, data privacy, and ownership)
  • Industry certifications (e.g., SOC 2)
  • Commercial (e.g., sensitive data such as credit card information handling, personally identifiable information [PII])

4. Analyzing and optimizing technical and business processes

Analyzing and defining technical processes considerations

  • Troubleshooting / post mortem analysis culture
  • Software development life cycle plan (SDLC)
  • Business continuity and disaster recovery
  • Continuous integration / continuous deployment
  • Testing and validation
  • Service catalog and provisioning

Analyzing and defining business processes. Considerations include:

  • Decision- making process
  • Stakeholder management (e.g. influencing and facilitation)
  • Customer success management
  • Team assessment / skills readiness
  • Change management
  • Cost optimization / resource optimization (capex / opex)

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

  • Data and system migration tooling
  • API best practices
  • Application development
  • Testing frameworks (load/unit/integration)

Interacting with Google Cloud using GCP SDK (gcloud, gsutil, and bq) considerations

  • Google Cloud Shell
  • Local installation

6. Ensuring solution and operations reliability

  • Assisting with the support of solutions in operation
  • Evaluating quality control measures
  • Monitoring/logging/profiling/alerting solution
  • Deployment and release management

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Designing for Compliance and Security

  • Design for security: the learners need to gain knowledge of penetration testing; identity and access management; resource hierarchy; separation of duties; security control; data security; customer-managed encryption key management with Cloud KMS;
  • Design for compliance: this covers one’s knowledge of legislation (health record privacy, data privacy, ownership, and children’s privacy); commercial (sensitive data handling and personally identifiable information); industry certifications (SOC 2); audits (such as logs).

Career Opportunities

Building a career in the field of IT requires some level of commitment. One of the areas where this commitment is required is obtaining the certifications. With an IT certificate, you can increase your access to numerous career opportunities and earn attractive remuneration. For the holders of the Google Professional Cloud Architect certification, there are many job roles that they can take up. Some of them include a Google Cloud Architect, a Technical Cloud Architect, a Google Cloud Platform Delivery Architect, a Google Cloud Data Architect, and an Enterprise Architect. These positions come with attractive salaries averaging $120,000 per annum. The specialists with some years of experience can get as much as $180,000.

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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.

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

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Google Professional-Cloud-Architect Exam Syllabus Topics:

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

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