1Designing a cloud solution
- 1.1From requirements to architecture
Understand eliciting business and technical requirements and translating them into a Google Cloud architecture, designing the resource hierarchy (Organization → Folder → Project), reflecting stakeholder expectations and compliance constraints, and making design decisions based on success metrics (KPIs/SLOs).
- 1.2Choosing compute, storage, and data services
Understand choosing Google Cloud compute (Compute Engine, GKE, Cloud Run, Cloud Functions) by use case, storage (Cloud Storage classes, Persistent Disk, Filestore), and databases (Cloud SQL, Spanner, Firestore, Bigtable, BigQuery).

