Book Image

Professional Cloud Architect Google Cloud Certification Guide - Second Edition

By : Konrad Cłapa, Brian Gerrard
5 (1)
Book Image

Professional Cloud Architect Google Cloud Certification Guide - Second Edition

5 (1)
By: Konrad Cłapa, Brian Gerrard

Overview of this book

Google Cloud Platform (GCP) is one of the industry leaders thanks to its array of services that can be leveraged by organizations to bring the best out of their infrastructure. This book is a comprehensive guide for learning methods to effectively utilize GCP services and help you become acquainted with the topics required to pass Google's Professional Cloud Architect certification exam. Following the Professional Cloud Architect's official exam syllabus, you'll first be introduced to the GCP. The book then covers the core services that GCP offers, such as computing and storage, and takes you through effective methods of scaling and automating your cloud infrastructure. As you progress through the chapters, you'll get to grips with containers and services and discover best practices related to the design and process. This revised second edition features new topics such as Cloud Run, Anthos, Data Fusion, Composer, and Data Catalog. By the end of this book, you'll have gained the knowledge required to take and pass the Google Cloud Certification – Professional Cloud Architect exam and become an expert in GCP services.
Table of Contents (25 chapters)
1
Section 1: Introduction to GCP
5
Section 2: Manage, Design, and Plan a Cloud Solution Architecture
14
Chapter 12: Exploring Storage and Database Options in GCP – Part 2
17
Section 3: Secure, Manage and Monitor a Google Cloud Solution
21
Section 4: Exam Focus

Summary

In this chapter, we covered Cloud Spanner and Bigtable.

In terms of Cloud Spanner, we now understand that this is a scalable and globally distributed database. It is strongly consistent and was built to combine the benefits of relational databases with the scalability of a non-relational database. Cloud Spanner can scale across regions for workloads that might have high availability requirements.

We covered Bigtable at a high level to make sure you are aware of what is expected in the exam. It is a fully managed NoSQL database service that can scale massively and offers low latency, is ideal for IoT as it can handle high-speed transactions in real time, integrates well with machine learning and analytics, and can support over a petabyte of data.

We have now come to the end of a large chapter with a lot of information to take in. We have looked at the key database services offered by GCP. We advise that you look over the exam tips in this chapter and make sure that...