Google Cloud: Professional Cloud Architect (PCA) Full Exam Guide

Introduction

I created this guide during my first six months at Google. It has become a tried and true resource inside of the company for Nooglers to become certified, and before leaving my last role, I got permission to publish it publicly on my personal website.

I hope you find value in these exam notes. These are in no way an exam dump nor do they offer sample questions, but they will tell you everything that you need to know to pass the exam and receive your professional certification.

Good luck!

Links to Each Section

  • Part I – This first post in this series covers helpful links, billing constructs, scale and automation, monitoring, testing, CI/CD, operations suite, and development and API tools.
  • Part II – This posts covers networking including VPC constructs and load balancing. If you have a chance to do a lab, spend time setting up a global load balancer.
  • Part III – This post covers security including Cloud Identity, IAM, encryption, and other security management products.
  • Part IV – This post is all about storage and data encryption. Remember, ingress is always free – cloud providers make money on egress!
  • Part V – This post is all about virtual machines (VMs) in Google Cloud. You’ll learn about MIGs, snapshotting disks, PDs, and everything else you can attach to a VM.
  • Part VI – This post covers all managed compute options that are not VMs or Kubernetes (GKE). That basically means App Engine, Functions, and Cloud Run. Trust me, the future is Cloud Run!
  • Part VII – This post covers all things GKE, Anthos is covered in Part VIII. Be ready to run kubectl commands to perform most of the tasks in this post, especially rolling our or rolling back a deployment.
  • Part VIII – This post covers all things Anthos, see Part VII for Kubernetes. Anthos is usually reserved for complex enterprise deployments and won’t come up in the real world that often, but it is on the exam.
  • Part IX – This post covers all things databases and data tooling. Choosing the right tool from Google Cloud’s extensive repository of managed services can be tricky. Look out for naming conventions of services, such as DataFLOW and DataSTREAM.
  • Part X – This is the final post in the series, covering “everything else” on the exam. If you’ve made it this far in your studying journey and feel confident in the content throughout all 10 parts, you’re ready.