Chapter 2 of 6 · Google Cloud Professional Cloud Architect
Managing and provisioning a solution infrastructure
Hybrid and VPC network topologies, storage and compute configuration, Agent Platform ML workflows and prebuilt AI APIs.
- 6topics
- 24 minfast track
- 3diagrams and exhibits
- 17.5%of the exam
Topics in this chapter
Take them in order, or jump to the one you need.
- 1Hybrid and Multicloud ConnectivityConfiguring HA VPN, Dedicated, Partner and Cross-Cloud Interconnect, Cloud Router and Network Connectivity Center, with the…Diagram4 min
- 2VPC Design, Load Balancing and Network SecurityConfiguring VPC layouts, Shared VPC, Cloud NAT, load balancers, Cloud Armor, Cloud NGFW, Cloud IDS and secure tags to protect…4 min
- 3Configuring Storage SystemsConfiguring Cloud Storage classes, Autoclass, lifecycle and retention, database replicas and backups, data transfer options and…Diagram4 min
- 4Configuring Compute SystemsConfiguring managed instance groups, Spot and standard VMs, GKE clusters and upgrades, Cloud Run, serverless networking, VMware…4 min
- 5ML Workflows on Agent Platform and AI HypercomputerAutomating the ML lifecycle with Agent Platform Pipelines, preparing data, training on GPUs and TPUs with AI Hypercomputer, and…Diagram4 min
- 6Prebuilt AI APIs, Gemini Enterprise and Model GardenChoosing between Google's AI APIs for search, conversation, vision, video, image and audio, using Gemini Enterprise agents and…4 min
About this chapter
What this chapter covers
This section is worth about 17.5 percent of the exam. Where the first chapter chooses products, this one configures them: network topologies, storage systems, compute systems, machine learning workflows and prebuilt AI services.
It covers network topologies (hybrid, multicloud, VPC design, load balancing and network security), storage configuration (allocation, access, transfer, lifecycle, growth and backup), compute configuration (provisioning, Spot versus standard, networking, patching, containers and serverless), ML workflows on Gemini Enterprise Agent Platform (pipelines, data, AI Hypercomputer, GPUs and TPUs) and prebuilt AI APIs, Gemini Enterprise and Model Garden.
How the topics fit together
Expect questions with concrete settings: which Interconnect topology gives the availability SLA, which storage class avoids retrieval fees, which upgrade strategy keeps old nodes for rollback, which accelerator consumption model fits a training run.
Many questions turn on one setting: a number of tunnels, a lifecycle rule, a maximum surge, a soak time. Read every option for the detail that breaks a requirement.
How to use these pages
Each topic page has the same shape, so you can skim for what you need.
- What it is: the idea in plain words.
- How it works: the mechanism, with tables and examples.
- What to remember for the exam: the facts to memorise and how questions are phrased.
- Common mistakes: the classic traps.
- Check yourself: three questions to test your understanding.
Ready for more practice?
The full Google Cloud Professional Cloud Architect question bank has 877 questions, with timed practice exams and an explanation for every answer.
This study guide is independent and is not affiliated with, endorsed by, or sponsored by Google Cloud. Vendor names, certification names and exam codes are trademarks of their respective owners and are used for identification only.