This is an old revision of the document!



Coursera Courses:
   This is a specialization with 6 courses focused on Architecting with GCP. (Note: For GCP Associate Engineer Certification, you can focus on Course 1-3.)
       1) Google Cloud Platform Fundamentals: Core Infrastructure
       2) Essential Cloud Infrastructure: Foundation
       3) Essential Cloud Infrastructure: Core Services
       4) Elastic Cloud Infrastructure: Scaling and Automation
       5) Elastic Cloud Infrastructure: Containers and Services
       6) Reliable Cloud Infrastructure: Design and Process (not necessary)

Google Docs :

Udemy Courses
       1) Complete Google Data Engineer and Cloud Architect Guide (Loony Corn)
       2) Kubernetes on the Cloud & The CNCF CKA Certification ( Loony Corn)


– Datastore. Indexes — creating them, updating them. Which file do you update for this? Can you do this only using gcloud or also from the console?
– Datastore. Data retrieval using identifiers, batch.
– Deployment Manager . How do you templatize a repeatable infrastructure setup?
– GKE. When is gcloud used as opposed to kubectl. When is Deployment Manager used and when is Kubernetes deployment used
– PCI compliance. Payment Card Industry Data Security Standards. Are GCP products compliant? Are all of them? What additional work do you need to do to make it compliant?
– GDPR. You don’t have to know the GDPR law thoroughly, but know what implications there are to be compliant with it and therefore which products/services should be used and in what way. I would suggest to gather high level information on GDPR.


– Networking. Networking is an important topic , following topics which should be covered as part of your certification. CIDR, primary and secondary networks, how VPNs work, OSI layer, net stat, etc.
– For Professional certification on GCP you are also expected to know solutions, products, and project processes outside GCP
– MountKirk, Dress4Win, TerramEarth. Know the case studies thoroughly. The case studies are there during the exam and you can go through it. But would be better studying it prior and making notes during your practice/learning. But don’t by-heart the solutions.
– BigQuery. Various types of partitioning. And retention/expiration rules.
– BigTable. For time series data. What are the best practices for BigTable time series data?
– Know the speeds possible on VPN. Know how to calculate the amount of time it will take to transfer, say 100TB, of data. So, if large transfers were required, should you be using VPN or Direct Interconnect. – Data Rehydration.

  • cloud/google.1583238616.txt.gz
  • Last modified: 2020/03/03 12:30
  • by preb