Google Cloud Architect Exam Study Materials

  • Official GCP Documentation
  • Google Cloud Next ’17 Conference Videos
  • Coursera
  • Linux Academy

Official Documentation

This is the just the official Google Cloud Platform documentation:


Compute Engine

App Engine

Container Engine

Storage Decisions

Cloud Storage


Cloud SQL



Transfer Service


Stackdriver Logging

Stackdriver Monitoring

Stackdriver Error Reporting

Stackdriver Trace

Stackdriver Debugger


Security Scanner

Identity and Security

Identity-Aware Proxy


Developer Tools

Resource Management

Deployment Manager




Google Cloud Next Sessions

The sessions from Google Cloud Next are on YouTube now (217 of them), and if there are any areas where you feel you’d like a little more depth (e.g. App Engine, Cloud Storage, Datastore, Stackdriver), these sessions can be helpful. They’re also just all really good sessions in general. Even if you’re not preparing for the exam, I’d recommend watching as many of the videos as you can. I like to watch them at 2.0x speed for maximum productivity.


The Coursera courses are made available by Google to partners, but are available for anyone. They have a couple of options for courses, but if you are a current AWS Certified Architect Professional then there is a course available based on that, which is what I took. It compares GCP products with AWS products and is slimmed down from the other option.

Linux Academy

I subscribe to Linux Academy because they have a ton of great courses in general even outside of GCP, but they also have several Google Cloud Platform courses available. Honestly, I only skimmed through the course because I had done all of the other preparation prior, but the material seems solid.

Final Thoughts

Overall, I thought the exam was done well. It’s not too long, and the questions are good Architect-level questions: it’s about being able to architect solutions, not necessarily memorizing every low-level command. With that said, a few final thoughts as you prepare for the exam:

  • As the official exam guide notes, there are Case Studies as part of the exam. I recommend preparing yourself by reading those and figuring out how to define the requirements in each and how those requirements match up to GCP services.
  • Know this decision tree well, and understand when to use what:
  • Don’t forget about services like Dataflow, Dataproc, Pub/Sub, and other Big Data concepts.
  • Like with similar exams, there will be several good options and a best option. Make sure to really dive into each question to understand specific requirements that will help you determine which is best. You really need to know when to use X and when to use Y, even if Y would kind of work.
  • Get into Google Cloud Platform and build something! There’s nothing better than real-world experience, and Google makes it really easy to get in and use the platform for free.



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Earl Gay

Earl Gay

Customer Engineer, @GoogleCloud | Mobility, Cloud, and Random Technology | Posts are mine and don’t represent my company.