Google Cloud ACE deployment guide covering compute engine, GKE, serverless, networking, and IaC decisions.
This is the largest ACE section because it tests what operators actually do on the platform. Google Cloud expects you to know how to deploy compute, containers, serverless, data, and networking resources, and how to use infrastructure as code to make those changes repeatable.
Google Cloud currently weights Deploying and implementing a cloud solution at about 25% of the exam.
| Lesson | Focus |
|---|---|
| 3.1 Compute Engine & MIGs | Learn core VM deployment, scaling, login, and fleet-management patterns. |
| 3.2 GKE Deployments | Learn cluster type choices and the basics of deploying workloads to GKE. |
| 3.3 Serverless Apps | Learn when and how to deploy managed serverless runtimes. |
| 3.4 Data Loading & Transfer | Learn how data services and transfer tools are deployed or populated. |
| 3.5 VPC Networking | Learn core network-resource deployment patterns. |
| 3.6 IaC Tooling | Learn how Google Cloud expects repeatable infrastructure changes to be expressed. |
| If the question is really about… | Go first to… |
|---|---|
| VMs, managed instance groups, OS Login, or VM Manager | 3.1 Compute Engine & MIGs |
| GKE cluster modes, kubectl, or container deployment to Kubernetes | 3.2 GKE Deployments |
| Cloud Run, Cloud Functions, Eventarc, or event-driven app paths | 3.3 Serverless Apps |
| Cloud SQL, Firestore, BigQuery, Pub/Sub, Dataflow, or data loading | 3.4 Data Loading & Transfer |
| VPCs, subnets, firewall policies, VPN, or network peering | 3.5 VPC Networking |
| Terraform, Config Connector, Helm, or IaC-driven deployment | 3.6 IaC Tooling |