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

TensorFlow

TensorFlow is the most popular open source ML library in the world for developing and training ML models. As a library, it is now part of the GCP offering and can be used on different platforms. For the development phase, you can use your laptop. For the run phase, you can still use your laptop, a public cloud, or even a mobile device.

As you know, Google has the biggest datasets in the world. For this reason, it developed TensorFlow to be highly scalable. Google uses it for services such as Gmail, Google Search, and Photos. You can have a look at how TensorFlow works using TensorFlow Playground, which is available at the following link: https://playground.tensorflow.org:

Figure 14.6 – TensorFlow Playground

As you can see, it allows you to choose the type of dataset you want to analyze, and you can experiment with all of the parameters we discussed in the Seven steps of ML section. Visualization of the process allows you to understand how...