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Google Cloud Exam Syllabus

Professional Cloud Architect syllabus, skills measured, and exam topics

A Professional Cloud Architect is able to leverage Google Cloud technologies to design, develop, and manage robust, secure, scalable, efficient, cost-effective, highly available, and flexible solutions that drive business objectives. The Professional Cloud Architect should be

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Skills measured by domain

Use the weighting table to decide where to spend the most study time.

Domain Weight
Section 1: Designing and planning a cloud solution architecture 25%
Section 2: Managing and provisioning a cloud solution infrastructure 17.5%
Section 3: Designing for security and compliance 17.5%
Section 4: Analyzing and optimizing technical and business processes 15%
Section 5: Managing implementation 12.5%

Detailed outline

Scan each section as a working study checklist instead of one long wall of text.

Section 1: Designing and planning a cloud solution architecture (~25% of the

  • 1.1 Designing a cloud solution infrastructure that meets business requirements. Considerations
  • include:
  • Business use cases and product strategy
  • Identifying functional and non-functional requirements
  • Business continuity plan
  • Cost optimization
  • Supporting the application design
  • Integration patterns with external systems
  • Movement of data
  • Design decision trade-offs
  • Workload disposition strategies (e.g., build, buy, modify, or deprecate)
  • Success measurements (e.g., key performance indicators [KPI], return on investment

Section 2: Managing and provisioning a cloud solution infrastructure (~17.5% of

  • the exam)
  • 2.1 Configuring network topologies. Considerations include:
  • Extending to on-premises environments (hybrid networking)
  • Extending to a multicloud environment that may include Google Cloud-to-Google
  • Cloud communication
  • Security protection (e.g. intrusion protection, access control, and firewalls)
  • VPC design and load balancing (e.g., access to cloud, internet, and cloud adjacent
  • services)
  • Professional Cloud Architect Exam Guide 3
  • 2.2 Configuring individual storage systems. Considerations include:
  • Data storage allocation
  • Data processing and compute provisioning

Section 3: Designing for security and compliance (~17.5% of the exam)

  • 3.1 Designing for security. Considerations include:
  • Identity and Access Management (IAM)
  • Resource hierarchy (organizations, folders, and projects)
  • Data security (key management, encryption, secret management)
  • Separation of duties
  • Security controls (e.g., auditing, VPC Service Controls, context aware access,
  • organization policy, and hierarchical firewall policy)
  • Managing customer-managed encryption keys with Cloud Key Management Service
  • (Cloud KMS)
  • Secure remote access (e.g., Identity-Aware Proxy, service account impersonation,
  • Chrome Enterprise Premium, and Workload Identity Federation)
  • Securing software supply chain

Section 4: Analyzing and optimizing technical and business processes (~15% of

  • the exam)
  • 4.1 Analyzing and defining technical processes. Considerations include:
  • Software development lifecycle (SDLC)
  • Continuous integration/continuous deployment
  • Troubleshooting/root cause analysis best practices
  • Testing and validation of software and infrastructure
  • Service catalog and provisioning
  • Disaster recovery
  • Professional Cloud Architect Exam Guide 5
  • 4.2 Analyzing and defining business processes. Considerations include:
  • Stakeholder management (e.g., influencing and facilitation)
  • Change management

Section 5: Managing implementation (~12.5% of the exam)

  • 5.1 Advising development and operation teams to ensure the successful deployment of the
  • solution. Considerations include:
  • Application and infrastructure deployment
  • API management best practices (e.g., Apigee)
  • Testing frameworks (load/unit/integration)
  • Data and system migration and management tooling
  • Gemini Cloud Assist
  • 5.2 Interacting with Google Cloud programmatically. Considerations include:
  • Cloud Shell Editor, Cloud Code, and Cloud Shell Terminal
  • Google Cloud SDKs (e.g., gcloud, gsutil, and bq)
  • Cloud Emulators (e.g., Bigtable, Spanner, Pub/Sub, and Firestore)
  • Infrastructure as Code (e.g., IaC and Terraform)