Atnaujinkite slapukų nuostatas

El. knyga: Official Google Cloud Certified Associate Cloud Engineer Study Guide [Wiley Online]

  • Formatas: 560 pages
  • Išleidimo metai: 21-May-2019
  • Leidėjas: Sybex Inc.,U.S.
  • ISBN-10: 1119564409
  • ISBN-13: 9781119564409
Kitos knygos pagal šią temą:
  • Wiley Online
  • Kaina: 52,87 €*
  • * this price gives unlimited concurrent access for unlimited time
Official Google Cloud Certified Associate Cloud Engineer Study GuideDidesnis paveikslėlis
  • Formatas: 560 pages
  • Išleidimo metai: 21-May-2019
  • Leidėjas: Sybex Inc.,U.S.
  • ISBN-10: 1119564409
  • ISBN-13: 9781119564409
Kitos knygos pagal šią temą:
Wiley Online E-booksMore info about Wiley Online
Partnerių interneto svetainė: https://onlinelibrary.wiley.com/doi/book/10.1002/9781119564409
The Only Official Google Cloud Study Guide

The Official Google Cloud Certified Associate Cloud Engineer Study Guide, provides everything you need to prepare for this important exam and master the skills necessary to land that coveted Google Cloud Engineering certification. Beginning with a pre-book assessment quiz to evaluate what you know before you begin, each chapter features exam objectives and review questions, plus the online learning environment includes additional complete practice tests. Written by Dan Sullivan, a popular and experienced online course author for machine learning, big data, and Cloud topics, Official Google Cloud Certified Associate Cloud Engineer Study Guide is your ace in the hole for deploying and managing Google Cloud Services.





Select the right Google service from the various choices based on the application to be built Compute with Cloud VMs and managing VMs Plan and deploying storage Network and configure access and security

Google Cloud Platform is a leading public cloud that provides its users to many of the same software, hardware, and networking infrastructure used to power Google services. Businesses, organizations, and individuals can launch servers in minutes, store petabytes of data, and implement global virtual clouds with the Google Cloud Platform. Certified Associate Cloud Engineers have demonstrated the knowledge and skills needed to deploy and operate infrastructure, services, and networks in the Google Cloud. This exam guide is designed to help you understand the Google Cloud Platform in depth so that you can meet the needs of those operating resources in the Google Cloud.
Introduction xxi
Assessment Test xxxii
Chapter 1 Overview of Google Cloud Platform 1(14)
Types of Cloud Services
2(6)
Compute Resources
3(1)
Storage
4(3)
Networking
7(1)
Specialized Services
8(1)
Cloud Computing vs. Data Center Computing
8(2)
Rent Instead of Own Resources
8(1)
Pay-as-You-Go-for-What-You-Use Model
9(1)
Elastic Resource Allocation
9(1)
Specialized Services
10(1)
Exam Essentials
10(1)
Review Questions
11(4)
Chapter 2 Google Cloud Computing Services 15(24)
Computing Components of Google Cloud Platform
16(5)
Computing Resources
17(4)
Storage Components of Google Cloud Platform
21(5)
Storage Resources
21(2)
Databases
23(3)
Networking Components of Google Cloud Platform
26(3)
Networking Services
26(2)
Identity Management
28(1)
Development Tools
28(1)
Additional Components of Google Cloud Platform
29(2)
Management Tools
29(1)
Specialized Services
30(1)
Exam Essentials
31(3)
Review Questions
34(5)
Chapter 3 Projects, Service Accounts, and Billing 39(28)
How GCP Organizes Projects and Accounts
40(7)
GCP Resource Hierarchy
40(3)
Organization Policies
43(2)
Managing Projects
45(2)
Roles and Identities
47(3)
Roles in GCP
47(2)
Granting Roles to Identities
49(1)
Service Accounts
50(1)
Billing
51(5)
Billing Accounts
51(2)
Billing Budgets and Alerts
53(1)
Exporting Billing Data
54(2)
Enabling APIs
56(2)
Provisioning Stackdriver Workspaces
58(2)
Exam Essentials
60(1)
Review Questions
61(6)
Chapter 4 Introduction to Computing in Google Cloud 67(24)
Compute Engine
68(9)
Virtual Machine Images
68(3)
Virtual Machines Are Contained in Projects
71(1)
Virtual Machines Run in a Zone and Region
72(1)
Users Need Privileges to Create Virtual Machines
73(1)
Preemptible Virtual Machines
74(2)
Custom Machine Types
76(1)
Use Cases for Compute Engine Virtual Machines
77(1)
App Engine
77(4)
Structure of an App Engine Application
77(1)
App Engine Standard and Flexible Environments
78(2)
Use Cases for App Engine
80(1)
Kubernetes Engine
81(3)
Kubernetes Functionality
82(1)
Kubernetes Cluster Architecture
82(1)
Kubernetes High Availability
83(1)
Kubernetes Engine Use Cases
84(1)
Cloud Functions
84(1)
Cloud Functions Execution Environment
84(1)
Cloud Functions Use Cases
85(1)
Summary
85(1)
Exam Essentials
86(1)
Review Questions
87(4)
Chapter 5 Computing with Compute Engine Virtual Machines 91(26)
Creating and Configuring Virtual Machines with the Console
92(11)
Main Virtual Machine Configuration Details
95(2)
Additional Configuration Details
97(6)
Creating and Configuring Virtual Machines with Cloud SDK
103(4)
Installing Cloud SDK
103(1)
Cloud SDK on Mac OS
104(1)
Example Installation on Ubuntu Linux
104(1)
Creating a Virtual Machine with Cloud SDK
105(1)
Creating a Virtual Machine with Cloud Shell
106(1)
Basic Virtual Machine Management
107(4)
Starting and Stopping Instances
107(1)
Network Access to Virtual Machines
108(1)
Monitoring a Virtual Machine
109(2)
Cost of Virtual Machines
111(1)
Guidelines for Planning, Deploying, and Managing Virtual Machines
111(1)
Summary
112(1)
Exam Essentials
112(1)
Review Questions
113(4)
Chapter 6 Managing Virtual Machines 117(28)
Managing Single Virtual Machine Instances
118(16)
Managing Single Virtual Machine Instances in the Console
118(12)
Managing a Single Virtual Machine Instance with Cloud Shell and the Command Line
130(4)
Introduction to Instance Groups
134(3)
Creating and Removing Instance Groups and Templates
134(3)
Instance Groups Load Balancing and Autoscaling
137(1)
Guidelines for Managing Virtual Machines
137(1)
Summary
138(1)
Exam Essentials
138(2)
Review Questions
140(5)
Chapter 7 Computing with Kubernetes 145(30)
Introduction to Kubernetes Engine
146(3)
Kubernetes Cluster Architecture
146(1)
Kubernetes Objects
147(2)
Deploying Kubernetes Clusters
149(5)
Deploying Kubernetes Clusters Using Cloud Console
149(4)
Deploying Kubernetes Clusters Using Cloud Shell and Cloud SDK
153(1)
Deploying Application Pods
154(3)
Monitoring Kubernetes
157(11)
Summary
168(1)
Exam Essentials
168(2)
Review Questions
170(5)
Chapter 8 Managing Kubernetes Clusters 175(34)
Viewing the Status of a Kubernetes Cluster
176(14)
Viewing the Status of Kubernetes Clusters Using Cloud Console
176(8)
Viewing the Status of Kubernetes Clusters Using Cloud SDK and Cloud Shell
184(6)
Adding, Modifying, and Removing Nodes
190(2)
Adding, Modifying, and Removing Nodes with Cloud Console
190(1)
Adding, Modifying, and Removing with Cloud SDK and Cloud Shell
191(1)
Adding, Modifying, and Removing Pods
192(4)
Adding, Modifying, and Removing Pods with Cloud Console
192(3)
Adding, Modifying, and Removing Pods with Cloud SDK and Cloud Shell
195(1)
Adding, Modifying, and Removing Services
196(3)
Adding, Modifying, and Removing Services with Cloud Console
196(2)
Adding, Modifying, and Removing Services with Cloud SDK and Cloud Shell
198(1)
Viewing the Image Repository and Image Details
199(4)
Viewing the Image Repository and Image Details with Cloud Console
199(3)
Viewing the Image Repository and Image Details with Cloud SDK and Cloud Shell
202(1)
Summary
203(1)
Exam Essentials
203(1)
Review Questions
204(5)
Chapter 9 Computing with App Engine 209(16)
App Engine Components
210(1)
Deploying an App Engine Application
211(4)
Deploying an App Using Cloud Shell and SDK
211(4)
Scaling App Engine Applications
215(2)
Splitting Traffic between App Engine Versions
217(1)
Summary
218(1)
Exam Essentials
218(2)
Review Questions
220(5)
Chapter 10 Computing with Cloud Functions 225(16)
Introduction to Cloud Functions
226(3)
Events, Triggers, and Functions
227(1)
Runtime Environments
227(2)
Cloud Functions Receiving Events from Cloud Storage
229(4)
Deploying a Cloud Function for Cloud Storage Events Using Cloud Console
229(2)
Deploying a Cloud Function for Cloud Storage Events Using gcloud Commands
231(2)
Cloud Functions Receiving Events from Pub/Sub
233(1)
Deploying a Cloud Function for Cloud Pub/Sub Events Using Cloud Console
233(1)
Deploying a Cloud Function for Cloud Pub/Sub Events Using gcloud Commands
234(1)
Summary
234(1)
Exam Essentials
235(2)
Review Questions
237(4)
Chapter 11 Planning Storage in the Cloud 241(34)
Types of Storage Systems
242(12)
Cache
243(2)
Persistent Storage
245(2)
Object Storage
247(6)
Storage Types When Planning a Storage Solution
253(1)
Storage Data Models
254(14)
Object: Cloud Storage
254(1)
Relational: Cloud SQL, Cloud Spanner, and BigQuery
254(7)
NoSQL: Datastore, Cloud Firestore, and Bigtable
261(7)
Choosing a Storage Solution: Guidelines to Consider
268(1)
Summary
269(1)
Exam Essentials
270(1)
Review Questions
271(4)
Chapter 12 Deploying Storage in Google Cloud Platform 275(34)
Deploying and Managing Cloud SQL
276(7)
Creating and Connecting to a MySQL Instance
276(2)
Creating a Database, Loading Data, and Querying Data
278(1)
Backing Up MySQL in Cloud SQL
279(4)
Deploying and Managing Datastore
283(2)
Adding Data to a Datastore Database
283(1)
Backing Up Datastore
284(1)
Deploying and Managing BigQuery
285(3)
Estimating the Cost of Queries in BigQuery
285(1)
Viewing Jobs in BigQuery
286(2)
Deploying and Managing Cloud Spanner
288(4)
Deploying and Managing Cloud Pub/Sub
292(3)
Deploying and Managing Cloud Bigtable
295(3)
Deploying and Managing Cloud Dataproc
298(4)
Managing Cloud Storage
302(1)
Summary
303(1)
Exam Essentials
304(1)
Review Questions
305(4)
Chapter 13 Loading Data into Storage 309(28)
Loading and Moving Data to Cloud Storage
310(5)
Loading and Moving Data to Cloud Storage Using the Console
310(4)
Loading and Moving Data to Cloud Storage Using the Command Line
314(1)
Importing and Exporting Data
315(15)
Importing and Exporting Data: Cloud SQL
315(4)
Importing and Exporting Data: Cloud Datastore
319(1)
Importing and Exporting Data: BigQuery
320(5)
Importing and Exporting Data: Cloud Spanner
325(2)
Importing and Exporting Data: Cloud Bigtable
327(2)
Importing and Exporting Data: Cloud Dataproc
329(1)
Streaming Data to Cloud Pub/Sub
330(1)
Summary
331(1)
Exam Essentials
332(1)
Review Questions
333(4)
Chapter 14 Networking in the Cloud: Virtual Private Clouds and Virtual Private Networks 337(24)
Creating a Virtual Private Cloud with Subnets
338(6)
Creating a Virtual Private Cloud with Cloud Console
338(4)
Creating a Virtual Private Cloud with gcloud
342(1)
Creating a Shared Virtual Private Cloud Using gcloud
343(1)
Deploying Compute Engine with a Custom Network
344(3)
Creating Firewall Rules for a Virtual Private Cloud
347(4)
Structure of Firewall Rules
347(1)
Creating Firewall Rules Using Cloud Console
348(2)
Creating Firewall Rules Using gcloud
350(1)
Creating a Virtual Private Network
351(4)
Creating a Virtual Private Network Using Cloud Console
351(3)
Creating a Virtual Private Network Using gcloud
354(1)
Summary
355(1)
Exam Essentials
355(2)
Review Questions
357(4)
Chapter 15 Networking in the Cloud: DNS, Load Balancing, and IP Addressing 361(22)
Configuring Cloud DNS
362(5)
Creating DNS Managed Zones Using Cloud Console
362(4)
Creating a DNS Managed Zones Using gcloud
366(1)
Configuring Load Balancers
367(8)
Types of Load Balancers
367(1)
Configuring Load Balancers using Cloud Console
368(6)
Configuring Load Balancers using gcloud
374(1)
Managing IP Addresses
375(2)
Expanding CIDR Blocks
375(1)
Reserving IP Addresses
375(2)
Summary
377(1)
Exam Essentials
378(1)
Review Questions
379(4)
Chapter 16 Deploying Applications with Cloud Launcher and Deployment Manager 383(22)
Deploying a Solution Using Cloud Launcher
384(10)
Browsing Cloud Launcher and Viewing Solutions
384(6)
Deploying Cloud Launcher Solutions
390(4)
Deploying an Application Using Deployment Manager
394(4)
Deployment Manager Configuration Files
394(3)
Deployment Manager Template Files
397(1)
Launching a Deployment Manager Template
398(1)
Summary
398(1)
Exam Essentials
399(1)
Review Questions
400(5)
Chapter 17 Configuring Access and Security 405(20)
Managing Identity and Access Management
406(8)
Viewing Account Identity and Access Management Assignments
406(2)
Assigning Identity and Access Management Roles to Accounts and Groups
408(3)
Defining Custom Identity and Access Management Roles
411(3)
Managing Service Accounts
414(4)
Managing Service Accounts with Scopes
414(2)
Assigning a Service Account to a Virtual Machine Instance
416(1)
Viewing Audit Logs
417(1)
Summary
418(1)
Exam Essentials
418(2)
Review Questions
420(5)
Chapter 18 Monitoring, Logging, and Cost Estimating 425(38)
Monitoring with Stackdriver
426(12)
Creating Alerts Based on Resource Metrics
427(10)
Creating Custom Metrics
437(1)
Logging with Stackdriver
438(8)
Configuring Log Sinks
438(3)
Viewing and Filtering Logs
441(3)
Viewing Message Details
444(2)
Using Cloud Diagnostics
446(7)
Overview of Cloud Trace
446(2)
Overview of Cloud Debug
448(3)
Viewing Google Cloud Platform Status
451(2)
Using the Pricing Calculator
453(4)
Summary
457(1)
Exam Essentials
458(1)
Review Questions
459(4)
Appendix Answers to Review Questions 463(40)
Chapter 1 Overview of Google Cloud Platform
464(2)
Chapter 2 Google Cloud Computing Services
466(2)
Chapter 3 Projects, Service Accounts, and Billing
468(2)
Chapter 4 Introduction to Computing in Google Cloud
470(2)
Chapter 5 Computing with Compute Engine Virtual Machines
472(3)
Chapter 6 Managing Virtual Machines
475(2)
Chapter 7 Computing with Kubernetes
477(2)
Chapter 8 Managing Kubernetes Clusters
479(2)
Chapter 9 Computing with App Engine
481(2)
Chapter 10 Computing with Cloud Functions
483(2)
Chapter 11 Planning Storage in the Cloud
485(2)
Chapter 12 Deploying Storage in Google Cloud Platform
487(3)
Chapter 13 Loading Data into Storage
490(2)
Chapter 14 Networking in the Cloud Virtual Private Clouds and Virtual Private Networks
492(2)
Chapter 15 Networking in the Cloud: DNS, Load Balancing, and IP Addressing
494(2)
Chapter 16 Deploying Applications with Cloud Launcher and Deployment Manager
496(2)
Chapter 17 Configuring Access and Security
498(2)
Chapter 18 Monitoring, Logging, and Cost Estimating
500(3)
Index 503
DAN SULLIVAN is a software architect specializing in big data, machine learning, and cloud computing. He is currently working on real-time analysis of application and system monitoring data. Dan is a Google Cloud Certified Associate Cloud Engineer and has extensive experience with Google Cloud and other cloud platforms. Dan is the author of three books and numerous articles. He is an instructor with LinkedIn Learning where he develops courses on data science, machine learning, and data management.
Pastovi nuoroda: https://www.kriso.lt/db/9781119564409_pe.html
Raktažodžiai: