Dan Sullivan

Google Cloud Certified Associate Cloud Engineer Study Guide

• Broschiertes Buch

Produktbeschreibung

Quickly and efficiently prepare for the Google Associate Cloud Engineer certification with the proven Sybex method

In the newly updated Second Edition of Google Cloud Certified Associate Cloud Engineer Study Guide, expert engineer and tech educator Dan Sullivan delivers an essential handbook for anyone preparing for the challenging Associate Cloud Engineer exam offered by Google and for those seeking to upgrade their Google Cloud engineering skillset.

The book provides readers with coverage of every domain and competency tested by the Associate Cloud Engineer exam, including how to select the right Google compute service from the wide variety of choices, how to choose the best storage option for your services, and how to implement appropriate security controls and network functionality.

This guide also offers:
_ A strong emphasis on transforming readers into competent, job-ready applicants, with a focus on building skills in high demand by contemporary employers
_ Concrete test-taking strategies, techniques, and tips to help readers conquer exam anxiety
_ Complimentary access to a comprehensive online learning environment, complete with practice tests

A must-have resource for practicing and aspiring Google Cloud engineers, Google Cloud Certified Associate Cloud Engineer Study Guide allows you to prepare for this challenging certification efficiently and completely.

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Produktdetails

• Sybex Study Guide
• Verlag: Sybex / Wiley & Sons
• Artikelnr. des Verlages: 1W119871440
• 2. Aufl.
• Seitenzahl: 576
• Erscheinungstermin: 9. März 2023
• Englisch
• Abmessung: 235mm x 190mm x 37mm
• Gewicht: 992g
• ISBN-13: 9781119871446
• ISBN-10: 1119871441
• Artikelnr.: 63460445

Autorenporträt

ABOUT THE AUTHOR DAN SULLIVAN is a data architect specializing in data architecture, data analytics, and machine learning. Dan has also written the official Google Cloud study guides for the Professional Architect and Professional Data Engineer certification exams. He has taught courses on machine learning, data science, and cloud computing for LinkedIn Learning and Udemy, and holds a PhD in genetics, bioinformatics, and computational biology with a focus on infectious disease genomics.

Inhaltsangabe

Introduction xxi

Assessment Test xxxiii

Chapter 1 Overview of Google Cloud 1

Types of Cloud Services 2

Compute Resources 3

Storage 4

Networking 7

Specialized Services 8

Cloud Computing vs. Data Center Computing 8

Rent Instead of Own Resources 8

Pay- as- You- Go- for- What- You- Use Model 9

Elastic Resource Allocation 9

Specialized Services 10

Summary 10

Exam Essentials 10

Review Questions 12

Chapter 2 Google Cloud Computing Services 17

Computing Components of Google Cloud 18

Computing Resources 19

Storage Components of Google Cloud 23

Storage Resources 23

Databases 26

Networking Components of Google Cloud 28

Networking Services 28

Identity Management and Security 30

Development Tools 30

Additional Components of Google Cloud 31

Management and Observability Tools 31

Specialized Services 32

Summary 33

Exam Essentials 33

Review Questions 36

Chapter 3 Projects, Service Accounts, and Billing 41

How Google Cloud Organizes Projects and Accounts 42

Google Cloud Resource Hierarchy 42

Organization Policies 45

Managing Projects 46

Roles and Identities 49

Roles in Google Cloud 50

Granting Roles to Identities 50

Service Accounts 52

Billing 53

Billing Accounts 53

Billing Budgets and Alerts 56

Exporting Billing Data 57

Enabling APIs 59

Summary 60

Exam Essentials 61

Review Questions 62

Chapter 4 Introduction to Computing in Google Cloud 67

Compute Engine 68

Virtual Machine Images 68

Virtual Machines Are Contained in Projects 77

Virtual Machines Run in a Zone and Region 78

Users Need Privileges to Create Virtual Machines 79

Preemptible Virtual Machines 80

Custom Machine Types 81

Use Cases for Compute Engine Virtual Machines 82

App Engine 83

Structure of an App Engine Application 84

App Engine Standard and Flexible Environments 85

Use Cases for App Engine 86

Kubernetes Engine 87

Kubernetes Functionality 88

Kubernetes Cluster Architecture 88

Kubernetes Engine Use Cases 89

Anthos 90

Cloud Run 90

Cloud Run Use Cases 91

Cloud Functions 91

Cloud Functions Execution Environment 91

Cloud Functions Use Cases 93

Summary 93

Exam Essentials 95

Review Questions 96

Chapter 5 Computing with Compute Engine Virtual Machines 101

Creating and Configuring Virtual Machines with the Console 102

Main Virtual Machine Configuration Details 104

Advanced Configuration Details 109

Creating and Configuring Virtual Machines with Cloud SDK 117

Installing Cloud SDK 117

Example Installation on Ubuntu Linux 118

Creating a Virtual Machine with Cloud SDK 119

Creating a Virtual Machine with Cloud Shell 120

Basic Virtual Machine Management 121

Starting and Stopping Instances 121

Network Access to Virtual Machines 121

Monitoring a Virtual Machine 123

Cost of Virtual Machines 123

Guidelines for Planning, Deploying, and Managing Virtual Machines 125

Summary 125

Exam Essentials 126

Review Questions 127
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