9781838555276-1838555277-Professional Cloud Architect - Google Cloud Certification Guide

Professional Cloud Architect - Google Cloud Certification Guide

ISBN-13: 9781838555276
ISBN-10: 1838555277
Author: Konrad Cłapa, Brian Gerrard
Publication date: 2019
Publisher: Packt Publishing
Format: Paperback 520 pages
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Book details

ISBN-13: 9781838555276
ISBN-10: 1838555277
Author: Konrad Cłapa, Brian Gerrard
Publication date: 2019
Publisher: Packt Publishing
Format: Paperback 520 pages

Summary

Professional Cloud Architect - Google Cloud Certification Guide (ISBN-13: 9781838555276 and ISBN-10: 1838555277), written by authors Konrad Cłapa, Brian Gerrard, was published by Packt Publishing in 2019. With an overall rating of 3.7 stars, it's a notable title among other Computer Certification (Design & Architecture, Hardware & DIY) books. You can easily purchase or rent Professional Cloud Architect - Google Cloud Certification Guide (Paperback) from BooksRun, along with many other new and used Computer Certification books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $1.61.

Description

Become a Professional Cloud Architect by exploring essential concepts, tools, and services in GCP and working through tests designed to help you get certified

Key Features
  • Plan and design a GCP cloud solution architecture
  • Ensure the security and reliability of your cloud solutions and operations
  • Test yourself by taking mock tests with up-to-date exam questions
Book Description

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.

What you will learn
  • Manage your GCP infrastructure with Google Cloud management options such as CloudShell and SDK
  • Understand the use cases for different storage options
  • Design a solution with security and compliance in mind
  • Monitor GCP compute options
  • Discover machine learning and the different machine learning models offered by GCP
  • Understand what services need to be used when planning and designing your architecture
Who this book is for

If you are a cloud architect, cloud engineer, administrator, or any IT professional who wants to learn how to implement Google Cloud services in your organization and become a GCP Certified Professional Cloud Architect, this book is for you. Basic knowledge of server infrastructure, including Linux and Windows Servers, is assumed. Knowledge of network and storage will also be helpful.

Table of Contents
  1. GCP Cloud Architect Professional
  2. Getting Started with Google Cloud Platform
  3. Google Cloud Platform Core Services
  4. Working with Google Compute Engine
  5. Managing Kubernetes Clusters with Google Kubernetes Engine
  6. Exploring Google App Engine as a Compute Option
  7. Running Serverless Functions with Google Cloud Functions
  8. Networking Options in GCP
  9. Exploring Storage Options in GCP Part 1
  10. Exploring Storage Options in GCP Part 2
  11. Analyze Big Data Options
  12. Putting Machine Learning to Work
  13. Security and Compliance
  14. Google Cloud Management Options
  15. Monitoring Your Infrastructure
  16. Case Studies
  17. Test Your Knowledge
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