About This Edition: A clean, intermediate-level architectural guide covering all 18 Subsections and 95 Official Considerations of the Google Cloud Certified Professional Cloud Architect curriculum, illustrated with Mermaid architecture blueprints and 190 custom-designed concept & architecture diagrams.
Chapter Plan at a Glance
Ch # | Chapter Title | Subsections | Considerations | Custom Diagrams | Core Focus |
|---|---|---|---|---|---|
00 | Overview | — | Mermaid | The Architectural Planes, plain-English guide to in-scope services, and the 10 Core Architectural Principles. | |
01 | 1.1, 1.2, 1.4, 1.5 | 25 | 50 | Business use cases, TCO/CapEx/OpEx, SLA/SLO/RPO/RTO design, High Availability vs. DR, 4-phase Cloud Migration plans, and Cloud-First architectural evolution. | |
02 | 1.3, 2.1, 2.2, 2.3 | 23 | 46 | End-to-end selection and configuration of VPCs, Hybrid Interconnect/HA VPN, Global Load Balancing, Cloud Storage/Filestore/Persistent Disk, Relational/NoSQL DBs, VMs, GKE, and Cloud Run. | |
03 | 2.4, 2.5 | 6 | 12 | End-to-end ML workflows on Vertex AI / Gemini Enterprise Agent Platform, BigQuery ML vs. AutoML vs. Custom Training, Model Garden, RAG grounding, and Prebuilt AI APIs. | |
04 | 3.1, 3.2 | 12 | 24 | Resource Hierarchy, least-privilege IAM, Workload Identity Federation, VPC Service Controls, Cloud Armor/IAP, CMEK/EKM/Confidential VM, Model Armor, and PCI-DSS/HIPAA/GDPR compliance. | |
05 | 4.1, 4.2 | 13 | 26 | SDLC/CI-CD pipelines, Chaos Engineering, Game Days, DR testing, blameless postmortems, stakeholder alignment, FinOps cost optimization, and organizational change management. | |
06 | 5.1, 5.2 | 10 | 20 | Blue/Green, Canary & Rolling deployments, Apigee API gateway governance, Cloud SDK/CLI emulators, Terraform IaC state management, and Gemini Cloud Assist. | |
07 | 6.2, 6.6 | 6 | 12 | Cloud Logging, Cloud Monitoring, Cloud Trace, Cloud Profiler, SLI/SLO error budgets, incident management escalation, and Customer Care support integration. | |
08 | All Sections | — | — | Side-by-side Look-Alike Tool Comparison Matrix, 5-Step Architecture Decision Checklist, and Top 25 Golden Rules. |
Detailed Table of Contents
Chapter 0: The PCA Reference Stack & 10 Core Principles
- 0.1 The Master Architectural Map: All In-Scope Services of the PCA Stack
- 0.2 The 10 Core Architectural Principles
Chapter 1: Architecting for Business & Technical Requirements, Migration Planning & Evolution
- Subsection 1.1: Designing a cloud solution infrastructure that meets business requirements (Section 1: Designing and Planning a Cloud Solution Architecture)
- Consideration 1.1a: Business use cases and product strategy (Diagrams:
pca-1.1a-1-match-operational.jpg,pca-1.1a-2-enforce-strategic.jpg) - Consideration 1.1b: Identifying functional and non-functional requirements (Diagrams:
pca-1.1b-1-functional-requirements.jpg,pca-1.1b-2-non-functional.jpg) - Consideration 1.1c: Business continuity plan (Diagrams:
pca-1.1c-1-deconstruct-business.jpg,pca-1.1c-2-recovery-point-objective.jpg) - Consideration 1.1d: Cost optimization (Diagrams:
pca-1.1d-1-compute-cost-optimization.jpg,pca-1.1d-2-storage-analytics-cost.jpg) - Consideration 1.1e: Supporting the application design (Diagrams:
pca-1.1e-1-prefer-loose-coupling.jpg,pca-1.1e-2-pub-sub-spanner-sql.jpg) - Consideration 1.1g: Movement of data (Diagrams:
pca-1.1g-1-use-bandwidth-vs-deadline.jpg,pca-1.1g-2-of-thumb-storage-storage.jpg) - Consideration 1.1h: Design decision trade-offs (Diagrams:
pca-1.1h-1-every-is-multi-variable.jpg,pca-1.1h-2-compute-vm-compute-spot.jpg) - Consideration 1.1i: Workload disposition strategies (build, buy, modify, or deprecate) (Diagrams:
pca-1.1i-1-apply-way-portfolio.jpg,pca-1.1i-2-deprecate-retire.jpg) - Consideration 1.1j: Success measurements (e.g., KPI, ROI, metrics) (Diagrams:
pca-1.1j-1-bridge-financial-metrics.jpg,pca-1.1j-2-return-on-investment-roi.jpg) - Consideration 1.1k: Security and compliance (Diagrams:
pca-1.1k-1-bake-compliance-landing.jpg,pca-1.1k-2-data-residency.jpg) - Consideration 1.1l: Observability (Diagrams:
pca-1.1l-1-design-golden-signals.jpg,pca-1.1l-2-operations-logging.jpg) - Quick Decision Cheat Sheet (Subsection 1.1)
- Subsection 1.2: Designing a cloud solution infrastructure that meets technical requirements (Section 1: Designing and Planning a Cloud Solution Architecture)
- Consideration 1.2a: Familiarity with the Google Cloud Well-Architected Framework (Diagrams:
pca-1.2a-1-master-pillars-their.jpg,pca-1.2a-2-compute-mig-compute-vm.jpg) - Consideration 1.2b: High availability and fail-over design (Diagrams:
pca-1.2b-1-understand-regional-ha-vs.jpg,pca-1.2b-2-compute-engine-gke-sql.jpg) - Consideration 1.2c: Flexibility of cloud resources (Diagrams:
pca-1.2c-1-design-portability.jpg,pca-1.2c-2-compute-mig-compute.jpg) - Consideration 1.2d: Scalability to meet growth requirements (Diagrams:
pca-1.2d-1-horizontal-over-vertical.jpg,pca-1.2d-2-choose-right-autoscaling.jpg) - Consideration 1.2e: Performance and latency (Diagrams:
pca-1.2e-1-optimize-every-hop-of.jpg,pca-1.2e-2-cdn-load-balancing.jpg) - Consideration 1.2f: Gemini Cloud Assist (Diagrams:
pca-1.2f-1-ai-powered-lifecycle.jpg,pca-1.2f-2-design-gemini-assist-sql.jpg) - Consideration 1.2g: Backup and recovery (Diagrams:
pca-1.2g-1-point-in-time-recovery.jpg,pca-1.2g-2-replication-ha-read.jpg) - Quick Decision Cheat Sheet (Subsection 1.2)
- Subsection 1.4: Creating a migration plan (i.e., documents and architectural diagrams) (Section 1: Designing and Planning a Cloud Solution Architecture)
- Consideration 1.4a: Integrating solutions with existing systems (Diagrams:
pca-1.4a-1-architect-hybrid.jpg,pca-1.4a-2-interconnect-dedicated.jpg) - Consideration 1.4b: Assessing and migrating systems and data (e.g., Google Cloud Migration Center) (Diagrams:
pca-1.4b-1-choose-right-migration.jpg,pca-1.4b-2-migration-center.jpg) - Consideration 1.4c: Using migration methodologies, workload testing, network planning, dependency planning (Diagrams:
pca-1.4c-1-execute-phase-migration.jpg,pca-1.4c-2-compute-migrate-to.jpg) - Consideration 1.4d: Determining software license implications and financial impact (Diagrams:
pca-1.4d-1-master-commercial.jpg,pca-1.4d-2-compute-sole-tenant-nodes.jpg) - Quick Decision Cheat Sheet (Subsection 1.4)
- Subsection 1.5: Envisioning future solution improvements (Section 1: Designing and Planning a Cloud Solution Architecture)
- Consideration 1.5a: Cloud and technology improvements (Diagrams:
pca-1.5a-1-continuously-replace.jpg,pca-1.5a-2-analytics-optimization.jpg) - Consideration 1.5b: Evolution of business needs (Diagrams:
pca-1.5b-1-architect-seamless.jpg,pca-1.5b-2-multi-cluster-hybrid.jpg) - Consideration 1.5c: Cloud-first design approach (Diagrams:
pca-1.5c-1-retire-legacy.jpg,pca-1.5c-2-replace-linux-crontab-vms.jpg) - Quick Decision Cheat Sheet (Subsection 1.5)
Chapter 2: Core Infrastructure Design & Provisioning: Compute, GKE, Serverless, Storage & Networking
- Subsection 1.3: Designing network, storage, and compute resources (Section 1: Designing and Planning a Cloud Solution Architecture)
- Consideration 1.3a: Integration with on-premises/multicloud environments (Diagrams:
pca-1.3a-1-network-identity-workload.jpg,pca-1.3a-2-network-plane.jpg) - Consideration 1.3b: Google Cloud AI and machine learning solutions (Diagrams:
pca-1.3b-1-navigate-ai-stack-by.jpg,pca-1.3b-2-gemini-llms-model-garden.jpg) - Consideration 1.3c: Cloud-native networking (VPC, peering, firewalls, load balancing, routing, shared VPC, Private Service Connect) (Diagrams:
pca-1.3c-1-shared-vpc-vs-vpc.jpg,pca-1.3c-2-shared-vpc-vpc-shared.jpg) - Consideration 1.3d: Choosing data processing solutions (Diagrams:
pca-1.3d-1-canonical-streaming-batch.jpg,pca-1.3d-2-pub-sub-dataproc-dataflow.jpg) - Consideration 1.3e: Choosing appropriate storage types (object, file, databases) (Diagrams:
pca-1.3e-1-definitive-storage.jpg,pca-1.3e-2-unstructured-blobs-images.jpg) - Consideration 1.3f: Mapping compute needs to platform products (e.g., GKE, Cloud Run, Cloud Run functions) (Diagrams:
pca-1.3f-1-apply-compute-continuum.jpg,pca-1.3f-2-run-functions-storage.jpg) - Consideration 1.3g: Choosing compute resources (spot VMs, custom machine types, specialized workloads) (Diagrams:
pca-1.3g-1-right-size-specialize.jpg,pca-1.3g-2-spot-vms-compute-compute.jpg) - Quick Decision Cheat Sheet (Subsection 1.3)
- Subsection 2.1: Configuring network topologies (Section 2: Managing and Provisioning a Cloud Solution Infrastructure)
- Consideration 2.1a: Extending to on-premises environments (hybrid networking) (Diagrams:
pca-2.1a-1-dedicated-interconnect-vs.jpg,pca-2.1a-2-dedicated-interconnect.jpg) - Consideration 2.1b: Extending to multicloud environments (Diagrams:
pca-2.1b-1-multicloud-connectivity.jpg,pca-2.1b-2-to-connectivity.jpg) - Consideration 2.1c: Security protection (intrusion protection, access control, firewalls) (Diagrams:
pca-2.1c-1-defense-in-depth-network.jpg,pca-2.1c-2-armor-vpc-firewall.jpg) - Consideration 2.1d: VPC design and load balancing (Diagrams:
pca-2.1d-1-vpc-dynamic-routing-mode.jpg,pca-2.1d-2-regional-dynamic-routing.jpg) - Quick Decision Cheat Sheet (Subsection 2.1)
- Subsection 2.2: Configuring individual storage systems (Section 2: Managing and Provisioning a Cloud Solution Infrastructure)
- Consideration 2.2a: Data storage allocation (Diagrams:
pca-2.2a-1-storage-classes-minimum.jpg,pca-2.2a-2-standard-compute.jpg) - Consideration 2.2c: Security and access management (Diagrams:
pca-2.2c-1-lock-down-storage-buckets.jpg,pca-2.2c-2-storage-storage-security.jpg) - Consideration 2.2d: Configuration for data transfer and latency (Diagrams:
pca-2.2d-1-eliminate-bigtable.jpg,pca-2.2d-2-anti-pattern-causes.jpg) - Consideration 2.2e: Data retention and lifecycle management (Diagrams:
pca-2.2e-1-automate-cost-compliance.jpg,pca-2.2e-2-note-on-age-storage.jpg) - Consideration 2.2f: Data growth planning (Diagrams:
pca-2.2f-1-provision-storage-that.jpg,pca-2.2f-2-sql-bigtable-storage-sql.jpg) - Consideration 2.2g: Data protection (backup and recovery) (Diagrams:
pca-2.2g-1-multi-layered-database.jpg,pca-2.2g-2-persistent-disk-snapshot.jpg) - Quick Decision Cheat Sheet (Subsection 2.2)
- Subsection 2.3: Configuring compute systems (Section 2: Managing and Provisioning a Cloud Solution Infrastructure)
- Consideration 2.3a: Compute resource provisioning (Diagrams:
pca-2.3a-1-managed-instance-groups.jpg,pca-2.3a-2-stateless-vs-stateful.jpg) - Consideration 2.3b: Compute volatility configuration (spot vs. standard) (Diagrams:
pca-2.3b-1-safe-spot-vm.jpg,pca-2.3b-2-spot-vms-compute-virtual.jpg) - Consideration 2.3c: Cloud-native network configuration for compute resources (Diagrams:
pca-2.3c-1-gke-vpc-native-container.jpg,pca-2.3c-2-vpc-native-clusters-alias.jpg) - Consideration 2.3d: Infrastructure orchestration, resource configuration, patch management (Diagrams:
pca-2.3d-1-mig-rolling-update.jpg,pca-2.3d-2-proactive-update-mode.jpg) - Consideration 2.3e: Container orchestration (Diagrams:
pca-2.3e-1-gke-autopilot-vs-gke.jpg,pca-2.3e-2-gke-autopilot-gke-gke.jpg) - Consideration 2.3f: Serverless computing (Diagrams:
pca-2.3f-1-tuning-run-latency.jpg,pca-2.3f-2-concurrency-run-run.jpg) - Quick Decision Cheat Sheet (Subsection 2.3)
Chapter 3: Enterprise AI & ML Architecture: Gemini Enterprise Agent Platform, Vertex AI & Prebuilt APIs
- Subsection 2.4: Leveraging Gemini Enterprise Agent Platform for end-to-end ML workflows (Section 2: Managing and Provisioning a Cloud Solution Infrastructure)
- Consideration 2.4a: Using Vertex AI pipelines (Diagrams:
pca-2.4a-1-managed-serverless.jpg,pca-2.4a-2-agent-platform-pipelines.jpg) - Consideration 2.4b: Preparing for Vertex AI data integration (Diagrams:
pca-2.4b-1-eliminate-training.jpg,pca-2.4b-2-zero-copy-bigquery.jpg) - Consideration 2.4c: Using AI Hypercomputer and integrating GPUs and TPUs (Diagrams:
pca-2.4c-1-hardware-accelerator.jpg,pca-2.4c-2-tpus-compute-tpus-compute.jpg) - Quick Decision Cheat Sheet (Subsection 2.4)
- Subsection 2.5: Configuring prebuilt solutions or APIs with Agent Platform (Section 2: Managing and Provisioning a Cloud Solution Infrastructure)
- Consideration 2.5a: Differentiating between Google AI APIs (Diagrams:
pca-2.5a-1-match-sensory-modality-to.jpg,pca-2.5a-2-vision-api-vertex-ai.jpg) - Consideration 2.5b: Integrating Gemini Enterprise features (Diagrams:
pca-2.5b-1-supercharge-enterprise.jpg,pca-2.5b-2-notebooklm-enterprise.jpg) - Consideration 2.5c: Integrating AI models from Model Garden (Diagrams:
pca-2.5c-1-navigate-vertex-ai-model.jpg,pca-2.5c-2-model-garden-vertex-ai.jpg) - Quick Decision Cheat Sheet (Subsection 2.5)
Chapter 4: Designing for Enterprise Security & Regulatory Compliance: Zero Trust, IAM, KMS & VPC-SC
- Subsection 3.1: Designing for security (Section 3: Designing for Security and Compliance)
- Consideration 3.1a: Identity and Access Management (IAM) (Diagrams:
pca-3.1a-1-core-iam-principles-in.jpg,pca-3.1a-2-bind-roles-to-groups.jpg) - Consideration 3.1b: Resource hierarchy management (Diagrams:
pca-3.1b-1-understand-policy.jpg,pca-3.1b-2-standard-iam-policies-are.jpg) - Consideration 3.1c: Data security (key management, encryption, secrets) (Diagrams:
pca-3.1c-1-never-confuse-kms-secret.jpg,pca-3.1c-2-kms-security-kms-security.jpg) - Consideration 3.1d: Separation of duties (Diagrams:
pca-3.1d-1-prevent-any-single.jpg,pca-3.1d-2-network-vs-application.jpg) - Consideration 3.1e: Security controls and governance (Diagrams:
pca-3.1e-1-know-which-control-solves.jpg,pca-3.1e-2-organization-policy.jpg) - Consideration 3.1f: Managing Cloud KMS (Diagrams:
pca-3.1f-1-choose-exact-encryption.jpg,pca-3.1f-2-managed-encryption-keys.jpg) - Consideration 3.1g: Secure remote access (Diagrams:
pca-3.1g-1-eliminate-static-keys.jpg,pca-3.1g-2-identity-aware-proxy-iap.jpg) - Consideration 3.1h: Securing software supply chain (Diagrams:
pca-3.1h-1-enforce-cryptographic.jpg,pca-3.1h-2-security-binary.jpg) - Consideration 3.1i: Securing AI workloads (Diagrams:
pca-3.1i-1-protect-generative-ai-ml.jpg,pca-3.1i-2-model-armor-vertex-ai.jpg) - Quick Decision Cheat Sheet (Subsection 3.1)
- Subsection 3.2: Designing for compliance (Section 3: Designing for Security and Compliance)
- Consideration 3.2a: Legislation and regulation requirements (Diagrams:
pca-3.2a-1-map-regulatory-regimes-to.jpg,pca-3.2a-2-hipaa-health-record.jpg) - Consideration 3.2b: Commercial compliance requirements (Diagrams:
pca-3.2b-1-architecting-pci-dss.jpg,pca-3.2b-2-reduce-audit-scope-first.jpg) - Consideration 3.2d: Audits and logs (Diagrams:
pca-3.2d-1-master-audit-log-streams.jpg,pca-3.2d-2-long-term-compliance-log.jpg) - Quick Decision Cheat Sheet (Subsection 3.2)
Chapter 5: Analyzing & Optimizing Technical and Business Processes: CI/CD, DR, FinOps & Readiness
- Subsection 4.1: Analyzing and defining technical processes (Section 4: Analyzing and Optimizing Technical and Business Processes)
- Consideration 4.1a: Software development lifecycle (SDLC) (Diagrams:
pca-4.1a-1-accelerating-sdlc.jpg,pca-4.1a-2-optimizing-ci-cd.jpg) - Consideration 4.1b: CI/CD (Diagrams:
pca-4.1b-1-separate-continuous.jpg,pca-4.1b-2-build-security-binary.jpg) - Consideration 4.1c: Troubleshooting and RCA best practices (Diagrams:
pca-4.1c-1-sre-incident-response.jpg,pca-4.1c-2-during-an-outage-mitigate.jpg) - Consideration 4.1d: Testing and validation (Diagrams:
pca-4.1d-1-automated-testing-pyramid.jpg,pca-4.1d-2-compute-load-balancing.jpg) - Consideration 4.1e: Service catalog and provisioning (Diagrams:
pca-4.1e-1-eliminate-central-it.jpg,pca-4.1e-2-compute-vm-deployment.jpg) - Consideration 4.1f: Disaster recovery (Diagrams:
pca-4.1f-1-match-dr-to-rpo.jpg,pca-4.1f-2-cold-dr-backup-restore.jpg) - Quick Decision Cheat Sheet (Subsection 4.1)
- Subsection 4.2: Analyzing and defining business processes (Section 4: Analyzing and Optimizing Technical and Business Processes)
- Consideration 4.2a: Stakeholder management (Diagrams:
pca-4.2a-1-speak-language-of-each.jpg,pca-4.2a-2-cfo-finance-devops-build.jpg) - Consideration 4.2b: Change management (Diagrams:
pca-4.2b-1-adoption-framework-themes.jpg,pca-4.2b-2-themes-operations.jpg) - Consideration 4.2c: Team assessment and readiness (Diagrams:
pca-4.2c-1-bridge-skills-gap.jpg,pca-4.2c-2-short-term-immediate.jpg) - Consideration 4.2d: Decision-making processes (Diagrams:
pca-4.2d-1-replace-opinion-battles.jpg,pca-4.2d-2-resource-manager.jpg) - Consideration 4.2e: Customer success management (Diagrams:
pca-4.2e-1-master-sli-slo-sla.jpg,pca-4.2e-2-service-level-indicator.jpg) - Consideration 4.2f: Cost and resource optimization (Diagrams:
pca-4.2f-1-institutionalize-finops.jpg,pca-4.2f-2-visibility-chargeback.jpg) - Consideration 4.2g: Business continuity (Diagrams:
pca-4.2g-1-business-continuity-plan.jpg,pca-4.2g-2-sql-spanner-storage-sql.jpg) - Quick Decision Cheat Sheet (Subsection 4.2)
Chapter 6: Managing Implementation: Deployment Strategies, Apigee API Management & Terraform IaC
- Subsection 5.1: Advising development and operation teams to ensure the successful deployment of the solution (Section 5: Managing Implementation)
- Consideration 5.1a: Application and infrastructure deployment (Diagrams:
pca-5.1a-1-choose-exact-deployment.jpg,pca-5.1a-2-blue-green-deployment.jpg) - Consideration 5.1b: API management best practices (Diagrams:
pca-5.1b-1-apigee-vs-api-gateway.jpg,pca-5.1b-2-apigee-api-management.jpg) - Consideration 5.1c: Testing frameworks (Diagrams:
pca-5.1c-1-advise-teams-on-complete.jpg,pca-5.1c-2-unit-testing-gke.jpg) - Consideration 5.1d: Data and system migration tooling (Diagrams:
pca-5.1d-1-match-operational.jpg,pca-5.1d-2-vms-compute-engine-vms.jpg) - Consideration 5.1e: Gemini Cloud Assist (Diagrams:
pca-5.1e-1-accelerate-dev-ops.jpg,pca-5.1e-2-operations-logging-ai.jpg) - Quick Decision Cheat Sheet (Subsection 5.1)
- Subsection 5.2: Interacting with Google Cloud programmatically (Section 5: Managing Implementation)
- Consideration 5.2a: Cloud Shell tools (Diagrams:
pca-5.2a-1-to-choose-shell-vs.jpg,pca-5.2a-2-shell-terminal-editor.jpg) - Consideration 5.2b: Google Cloud SDKs (Diagrams:
pca-5.2b-1-know-which-cli-tool.jpg,pca-5.2b-2-gcloud-sdk-iam-compute.jpg) - Consideration 5.2c: Cloud Emulators (Diagrams:
pca-5.2c-1-local-emulators-are.jpg,pca-5.2c-2-client-libraries-connect.jpg) - Consideration 5.2d: Infrastructure as Code (Diagrams:
pca-5.2d-1-terraform-on.jpg,pca-5.2d-2-never-store-terraform.jpg) - Consideration 5.2e: Google API client libraries and best practices (Diagrams:
pca-5.2e-1-application-default.jpg,pca-5.2e-2-resilient-error-handling.jpg) - Quick Decision Cheat Sheet (Subsection 5.2)
Chapter 7: Operational Excellence, Google Cloud Observability, Release Management & Production SRE
- Subsection 6.2: Understanding the operational excellence pillar (6.1) & Familiarity with Google Cloud Observability solutions (6.2) (Section 6: Ensuring Solution and Operations Excellence)
- Consideration 6.2a: Monitoring and logging (Diagrams:
pca-6.2a-1-operational-excellence.jpg,pca-6.2a-2-eliminate-toil-via.jpg) - Consideration 6.2b: Profiling and benchmarking (Diagrams:
pca-6.2b-1-architectural-distinction.jpg,pca-6.2b-2-trace-distributed-request.jpg) - Consideration 6.2c: Alerting strategies (Diagrams:
pca-6.2c-1-sre-alerting-in-alerting.jpg,pca-6.2c-2-operations-monitoring.jpg) - Quick Decision Cheat Sheet (Subsection 6.2)
- Subsection 6.6: Deployment and release management (6.3), Support (6.4), Quality control (6.5) & Production reliability (6.6) (Section 6: Ensuring Solution and Operations Excellence)
- Consideration 6.6a: Chaos engineering (Diagrams:
pca-6.6a-1-release-management.jpg,pca-6.6a-2-decouple-deployment.jpg) - Consideration 6.6b: Penetration testing (Diagrams:
pca-6.6b-1-scope-of-penetration.jpg,pca-6.6b-2-purpose-security-command.jpg) - Consideration 6.6c: Load testing (Diagrams:
pca-6.6c-1-to-architect-effective.jpg,pca-6.6c-2-load-testing-vs-stress.jpg) - Quick Decision Cheat Sheet (Subsection 6.6)
Chapter 8: Master Look-Alike Tool Comparison & Decision Playbook
- 8.1 The Master Look-Alike Tool Comparison Matrix
- 8.2 The 5-Step Architecture Decision Checklist
- 8.3 Top 25 Golden Rules for Final Review
Generating the Custom Illustrations (pca-image-prompts.json)
All 190 custom image prompts and output filenames for this book are stored in pca-image-prompts.json (and mirrored in openai-image-gen/out/9005-openai-prompts-pca-book.json). To generate the illustrations using openai-image-gen/images-from-prompts.py, run:
cd openai-image-gen uv run images-from-prompts.py -file ../books/pca-architecture-takeaways/pca-image-prompts.json -simple -quality medium
AwesomeGCP.com Learning
The approach taken is a question-led learning approach: you explore realistic project scenarios where you need to make decisions or take actions to achieve business goals within specific constraints. Instead of passive learning, you are challenged to think and work through the options to master the Professional Cloud Architect (PCA) certification!