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Google Cloud Professional Cloud Architect Syllabus

Designing and planning a cloud solution architecture

Designing infrastructure that meets business and technical requirements, including network, storage, compute, AI and migration plans.

25%

Weight

Questions

Marks

Business and Technical Requirements

Functional and non-functional requirements
Cost optimization and success metrics (KPIs, ROI)
Well-Architected Framework
High availability, failover, backup and recovery
Build, buy, modify or deprecate decisions

Network, Storage and Compute Design

VPC, Shared VPC, peering and Private Service Connect
Choosing GKE, Cloud Run, Cloud Run functions or Compute Engine
Object, file and database storage choices
Spot VMs and custom machine types
Gemini models, Model Garden and AI Hypercomputer in designs

Migration and Future Planning

Google Cloud Migration Center assessment
Migration methods and workload testing
Network and dependency planning
Software licensing and financial impact
Cloud-first design for evolving business needs

Managing and provisioning a cloud solution infrastructure

Configuring network topologies, storage and compute, and using Gemini Enterprise Agent Platform for ML workflows and prebuilt AI.

18%

Weight

Questions

Marks

Network and Storage Configuration

Hybrid and multicloud networking
Firewalls, access control and intrusion protection
VPC design and load balancing
Storage retention, lifecycle and backup
Data transfer and latency configuration

Compute Configuration

Spot vs. standard VM provisioning
Compute Engine, GKE, serverless and Google Cloud VMware Engine networking
Orchestration and patch management
Container orchestration

AI Workflows and Prebuilt Solutions

Agent Platform Pipelines for end-to-end ML
AI Hypercomputer GPUs and TPUs for large-scale training
Google AI APIs for vision, speech and conversation
Gemini Enterprise agents and NotebookLM
Integrating Model Garden models

Designing for security and compliance

Designing IAM, data protection, security controls and AI security, and meeting regulatory and commercial compliance.

18%

Weight

Questions

Marks

Identity and Access

IAM and resource hierarchy
Separation of duties
Identity-Aware Proxy and service account impersonation
Workload Identity Federation
Chrome Enterprise Premium for secure remote access

Data and Platform Security Controls

Cloud KMS, encryption and secrets
VPC Service Controls and organization policies
Hierarchical firewall policies and context-aware access
Software supply chain security
Model Armor and Sensitive Data Protection for AI

Compliance

Health, children's and data privacy regulations
Data sovereignty requirements
Payment card data and PII
Industry certifications such as SOC 2
Audit logs for compliance

Analyzing and optimizing technical and business processes

Improving SDLC, CI/CD, testing and disaster recovery processes and business processes such as stakeholder and cost management.

15%

Weight

Questions

Marks

Technical Processes

Software development lifecycle
CI/CD pipelines
Root cause analysis
Testing and validation
Disaster recovery planning

Business Processes

Stakeholder and change management
Team skills assessment
CapEx vs. OpEx cost optimization
Business continuity
Customer success

Managing implementation

Advising development and operations teams and interacting with Google Cloud programmatically.

12%

Weight

Questions

Marks

Advising Teams

Application and infrastructure deployment
API management with Apigee
Load, unit and integration testing
Data and system migration tooling
Gemini Cloud Assist

Programmatic Access

gcloud, gsutil and bq CLIs
Cloud Shell, Cloud Shell Editor and Cloud Code
Emulators for Bigtable, Spanner, Pub/Sub and Firestore
Infrastructure as code with Terraform
Client libraries and API access best practices

Ensuring solution and operations excellence

Applying the operational excellence pillar, observability, release management and production reliability practices.

12%

Weight

Questions

Marks

Observability and Operational Excellence

Operational excellence pillar of the Well-Architected Framework
Google Cloud Observability monitoring and logging
Profiling and benchmarking
Alerting strategies

Release, Support and Reliability

Deployment and release management
Supporting deployed solutions
Evaluating quality control measures
Chaos engineering, penetration and load testing

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Learning Progress

Designing and planning a cloud solution architecture 85%

Managing and provisioning a cloud solution infrastructure 92%

Practice Test Scores

95%

Latest Score

Above passing threshold

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