Book Image

Professional Cloud Architect – Google Cloud Certification Guide

By : Konrad Cłapa, Brian Gerrard
Book Image

Professional Cloud Architect – Google Cloud Certification Guide

By: Konrad Cłapa, Brian Gerrard

Overview of this book

Google Cloud Platform (GCP) is one of the leading cloud service suites and offers solutions for storage, analytics, big data, machine learning, and application development. It features an array of services that can help organizations to get the best out of their infrastructure. This comprehensive guide covers a variety of topics specific to Google's Professional Cloud Architect official exam syllabus and guides you in using the right methods for effective use of GCP services. You'll start by exploring GCP, understanding the benefits of becoming a certified architect, and learning how to register for the exam. You'll then delve into the core services that GCP offers such as computing, storage, and security. As you advance, this GCP book will help you get up to speed with methods to scale and automate your cloud infrastructure and delve into containers and services. In the concluding chapters, you'll discover security best practices and even gain insights into designing applications with GCP services and monitoring your infrastructure as a GCP architect. By the end of this book, you will be well versed in all the topics required to pass Google's Professional Cloud Architect exam and use GCP services effectively.
Table of Contents (26 chapters)
Free Chapter
1
Section 1: Introduction to GCP
5
Section 2: Managing, Designing, and Planning a Cloud Solution Architecture
15
Section 3: Designing for Security and Compliance
17
Section 4: Managing Implementation
19
Section 5: Ensuring Solution and Operations Reliability
21
Section 6: 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, or go to the 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:

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...