Google Professional-Cloud-Architect Exam Collection - Google Certified Professional - Cloud Architect (GCP)

Updated: Aug 07, 2026
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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

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

Technical requirements considerations

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

Network, Storage, and Compute resources Considerations

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

Creating a migration plan

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

Envisioning future solution improvements

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

2. Managing and provisioning a solution Infrastructure

Configuring network topologies

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

Configuring individual storage systems

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

Configuring compute systems

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

3. Designing for security and compliance

Security considerations

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

compliance Considerations

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

4. Analyzing and optimizing technical and business processes

Analyzing and defining technical processes considerations

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

Analyzing and defining business processes. Considerations include:

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

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

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

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

  • Local installation
  • Google Cloud Shell

6. Ensuring solution and operations reliability

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

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

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Test Details

This is a 2-hour test comprising two question formats, including multiple-choice and multiple-select items. This exam is available in English and Japanese and costs $200. You can take it as an online proctored exam or in person at the nearest testing center.

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Google Professional Cloud Architect Practice Test Questions, Google Professional Cloud Architect Exam Practice Test Questions

The Google Professional Cloud Architect certification equips the individuals with the ability to leverage Google Cloud technologies for their organizations. It offers the potential candidates an extensive understanding of Google Cloud Platform and Cloud architecture in general. Earning this certificate is a great way to grow your career in the ever-growing Cloud domain.

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

  • 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 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;
  • 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;
  • 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;

Google Professional-Cloud-Architect Exam Syllabus Topics:

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

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