Ultimate Google Professional Cloud Architect Certification Guide

Architect Google Cloud Solutions That Go Beyond Certification Key Features ? Master core GCP services including Compute Storage and Networking. ? Apply GCP design patterns to real-world enterprise architecture. ? Prepare with exam-focused guidance diagrams and case scenarios. Book Description In today’s cloud-first world the Google Cloud Professional Cloud Architect certification stands as one of the most respected credentials in enterprise IT. Ultimate Google Professional Cloud Architect Certification Guide is your companion to achieving that goal. This book goes far beyond exam preparation. It is a hands-on real-world companion that walks you through every architectural decision-making point you will face on Google Cloud Platform (GCP). You will begin with the building blocks such as Compute Engine Autoscaling Load Balancing and Storage. From there you will navigate through advanced networking managed services like App Engine and orchestration using Google Kubernetes Engine (GKE). As the chapters progress you will unlock the power of serverless architectures with Cloud Functions and Cloud Run explore asynchronous communication via Pub/Sub and Dataflow and dive into Google Cloud’s relational NoSQL and caching databases. Crucial topics like IAM billing resource hierarchy and network peering are thoroughly covered to prepare you for enterprise-grade deployments. You will also master observability with Cloud Operations Suite and apply DevOps CI/CD and SRE principles in practical deployment-ready scenarios. Hence whether you are an engineer looking to level up or an architect leading transformation initiatives this book equips you with the knowledge context and confidence to succeed—not just in the exam but in the real world of cloud architecture. What you will learn ? Design scalable infrastructure with Compute Engine and Load Balancing. ? Architect secure networks using VPCs IAM and Shared VPC. ? Implement serverless and containerized apps with Cloud Run and GKE. ? Leverage Google Cloud’s asynchronous tools such as Pub/Sub and Dataflow. ? Choose and integrate relational NoSQL and caching databases. ? Apply DevOps SRE and CI/CD practices using Cloud Operations tools. Table of Contents 1. GCP Compute Engine 2. Autoscaling and Load Balancing 3. GCP Storage Infrastructure (Block File and Object) 4. GCP Networking 5. Introduction to Managed Services on GCP and App Engine 6. Google Kubernetes Engine 7. Serverless Google Run Functions and Google Cloud Run 8. Introduction to Asynchronous Communication in GCP 9. Databases in GCP Overview 10. Relational NoSQL and Caching Databases 11. Authentication with Google Cloud IAM 12. Exploring IAM Project Organization and Encryption 13. Exploring Data Warehousing and Data Lifecycle on GCP 14. Google Cloud Operations Suite 15. Agile DevOps SRE SDLC and Other Important GCP Topics Index About the Authors Shounak Acharya is a seasoned Cloud Architect and Engineering Leader with over 16 years of transformative experience spanning the entire spectrum of IT infrastructure—from legacy data centers to modern cloud-native platforms. His journey is a testament to deep-rooted expertise innovative thinking and a passionate drive to scale digital systems that touch billions!.