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Google Cloud Certified Associate Cloud Engineer Study Guide 2nd edition [Pehme köide]

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  • Formaat: Paperback / softback, 576 pages, kõrgus x laius x paksus: 234x188x33 mm, kaal: 794 g
  • Sari: Sybex Study Guide
  • Ilmumisaeg: 09-Mar-2023
  • Kirjastus: Sybex Inc.,U.S.
  • ISBN-10: 1119871441
  • ISBN-13: 9781119871446
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Google Cloud Certified Associate Cloud Engineer Study Guide 2nd editionSuurem pilt
  • Formaat: Paperback / softback, 576 pages, kõrgus x laius x paksus: 234x188x33 mm, kaal: 794 g
  • Sari: Sybex Study Guide
  • Ilmumisaeg: 09-Mar-2023
  • Kirjastus: Sybex Inc.,U.S.
  • ISBN-10: 1119871441
  • ISBN-13: 9781119871446
Teised raamatud teemal:
Püsilink: https://www.kriso.ee/db/9781119871446.html
Märksõnad:
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.
Introduction xxi
Assessment Test xxxiii
Chapter 1 Overview of Google Cloud
1(16)
Types of Cloud Services
2(1)
Compute Resources
3(1)
Storage
4(3)
Networking
7(1)
Specialized Services
8(1)
Cloud Computing vs. Data Center Computing
8(1)
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)
Summary
10(1)
Exam Essentials
10(2)
Review Questions
12(5)
Chapter 2 Google Cloud Computing Services
17(24)
Computing Components of Google Cloud
18(1)
Computing Resources
19(4)
Storage Components of Google Cloud
23(1)
Storage Resources
23(3)
Databases
26(2)
Networking Components of Google Cloud
28(1)
Networking Services
28(2)
Identity Management and Security
30(1)
Development Tools
30(1)
Additional Components of Google Cloud
31(1)
Management and Observability Tools
31(1)
Specialized Services
32(1)
Summary
33(1)
Exam Essentials
33(3)
Review Questions
36(5)
Chapter 3 Projects, Service Accounts, and Billing
41(26)
How Google Cloud Organizes Projects and Accounts
42(1)
Google Cloud Resource Hierarchy
42(3)
Organization Policies
45(1)
Managing Projects
46(3)
Roles and Identities
49(1)
Roles in Google Cloud
50(1)
Granting Roles to Identities
50(2)
Service Accounts
52(1)
Billing
53(1)
Billing Accounts
53(3)
Billing Budgets and Alerts
56(1)
Exporting Billing Data
57(2)
Enabling APIs
59(1)
Summary
60(1)
Exam Essentials
61(1)
Review Questions
62(5)
Chapter 4 Introduction to Computing in Google Cloud
67(34)
Compute Engine
68(1)
Virtual Machine Images
68(9)
Virtual Machines Are Contained in Projects
77(1)
Virtual Machines Run in a Zone and Region
78(1)
Users Need Privileges to Create Virtual Machines
79(1)
Preemptible Virtual Machines
80(1)
Custom Machine Types
81(1)
Use Cases for Compute Engine Virtual Machines
82(1)
App Engine
83(1)
Structure of an App Engine Application
84(1)
App Engine Standard and Flexible Environments
85(1)
Use Cases for App Engine
86(1)
Kubernetes Engine
87(1)
Kubernetes Functionality
88(1)
Kubernetes Cluster Architecture
88(1)
Kubernetes Engine Use Cases
89(1)
Anthos
90(1)
Cloud Run
90(1)
Cloud Run Use Cases
91(1)
Cloud Functions
91(1)
Cloud Functions Execution Environment
91(2)
Cloud Functions Use Cases
93(1)
Summary
93(2)
Exam Essentials
95(1)
Review Questions
96(5)
Chapter 5 Computing with Compute Engine Virtual Machines
101(30)
Creating and Configuring Virtual Machines with the Console
102(2)
Main Virtual Machine Configuration Details
104(5)
Advanced Configuration Details
109(8)
Creating and Configuring Virtual Machines with Cloud SDK
117(1)
Installing Cloud SDK
117(1)
Example Installation on Ubuntu Linux
118(1)
Creating a Virtual Machine with Cloud SDK
119(1)
Creating a Virtual Machine with Cloud Shell
120(1)
Basic Virtual Machine Management
121(1)
Starting and Stopping Instances
121(1)
Network Access to Virtual Machines
121(2)
Monitoring a Virtual Machine
123(1)
Cost of Virtual Machines
123(2)
Guidelines for Planning, Deploying, and Managing Virtual Machines
125(1)
Summary
125(1)
Exam Essentials
126(1)
Review Questions
127(4)
Chapter 6 Managing Virtual Machines
131(26)
Managing Single Virtual Machine Instances
132(1)
Managing Single Virtual Machine Instances in the Console
132(9)
Managing a Single Virtual Machine Instance with Cloud Shell and the Command Line
141(6)
Introduction to Instance Groups
147(1)
Creating and Removing Instance Groups and Templates
147(2)
Instance Groups Load Balancing and Autoscaling
149(1)
Guidelines for Managing Virtual Machines
150(1)
Summary
150(1)
Exam Essentials
151(1)
Review Questions
152(5)
Chapter 7 Computing with Kubernetes
157(22)
Introduction to Kubernetes Engine
158(1)
Kubernetes Cluster Architecture
159(1)
Kubernetes Objects
159(3)
Deploying Kubernetes Clusters
162(1)
Deploying Kubernetes Clusters Using Cloud Console
162(5)
Deploying Kubernetes Clusters Using Cloud Shell and Cloud SDK
167(1)
Deploying Application Pods
168(4)
Monitoring Kubernetes
172(1)
Summary
172(1)
Exam Essentials
173(1)
Review Questions
174(5)
Chapter 8 Managing Standard Mode Kubernetes Clusters
179(36)
Viewing the Status of a Kubernetes Cluster
180(1)
Viewing the Status of Kubernetes Clusters Using Cloud Console
180(2)
Pinning Services to the Top of the Navigation Menu
182(6)
Viewing the Status of Kubernetes Clusters Using Cloud SDK and Cloud Shell
188(5)
Adding, Modifying, and Removing Nodes
193(1)
Adding, Modifying, and Removing Nodes with Cloud Console
193(2)
Adding, Modifying, and Removing Nodes with Cloud SDK and Cloud Shell
195(1)
Adding, Modifying, and Removing Pods
196(1)
Adding, Modifying, and Removing Pods with Cloud Console
196(4)
Adding, Modifying, and Removing Pods with Cloud SDK and Cloud Shell -
200(3)
Adding, Modifying, and Removing Services
203(1)
Adding, Modifying, and Removing Services with Cloud Console
203(2)
Adding, Modifying, and Removing Services with Cloud SDK and Cloud Shell
205(2)
Creating Repositories in the Artifact Registry
207(1)
Viewing the Image Repository and Image Details with Cloud Console
207(2)
Summary
209(1)
Exam Essentials
209(1)
Review Questions
210(5)
Chapter 9 Computing with Cloud Run and App Engine
215(22)
Overview of Cloud Run
216(1)
Cloud Run Services
216(1)
Cloud Run Jobs
217(1)
Creating a Cloud Run Service
218(4)
Creating a Cloud Run Job
222(1)
App Engine Components
223(3)
Deploying an App Engine Application
226(1)
Deploying an App Using Cloud Shell and SDK
226(2)
Scaling App Engine Applications
228(1)
Splitting Traffic Between App Engine Versions
229(1)
Summary
230(1)
Exam Essentials
231(1)
Review Questions
232(5)
Chapter 10 Computing with Cloud Functions
237(16)
Introduction to Cloud Functions
238(1)
Events, Triggers, and Functions
238(1)
Runtime Environments
239(2)
Cloud Functions Receiving Events from Cloud Storage
241(1)
Deploying a Cloud Function for Cloud Storage Events Using Cloud Console
241(3)
Deploying a Cloud Function for Cloud Storage Events Using gcloud Commands
244(1)
Cloud Functions Receiving Events from Pub/Sub
245(1)
Deploying a Cloud Function for Cloud Pub/Sub Events Using Cloud Console
245(1)
Deploying a Cloud Function for Cloud Pub/Sub Events Using gcloud Commands
246(1)
Summary
247(1)
Exam Essentials
247(2)
Review Questions
249(4)
Chapter 11 Planning Storage in the Cloud
253(32)
Types of Storage Systems
254(1)
Cache
255(2)
Persistent Storage
257(1)
Object Storage
258(6)
Storage Types When Planning a Storage Solution
264(1)
Storage Data Models
265(1)
Object: Cloud Storage
266(1)
Relational: Cloud SQL and Cloud Spanner
266(2)
Analytical: BigQuery
268(2)
NoSQL: Cloud Firestore and Bigtable
270(7)
Choosing a Storage Solution: Guidelines to Consider
277(1)
Summary
278(1)
Exam Essentials
278(2)
Review Questions
280(5)
Chapter 12 Deploying Storage in Google Cloud
285(36)
Deploying and Managing Cloud SQL
286(1)
Creating and Connecting to a MySQL Instance
286(2)
Creating a Database, Loading Data, and Querying Data
288(1)
Backing Up MySQL in Cloud SQL
289(3)
Deploying and Managing Firestore
292(1)
Adding Data to a Firestore Database
292(2)
Backing Up Firestore
294(1)
Deploying and Managing BigQuery
294(1)
Estimating the Cost of Queries in BigQuery
294(2)
Viewing Jobs in BigQuery
296(1)
Deploying and Managing Cloud Spanner
297(5)
Deploying and Managing Cloud Pub/Sub
302(4)
Deploying and Managing Cloud Bigtable
306(2)
Deploying and Managing Cloud Dataproc
308(6)
Managing Cloud Storage
314(2)
Summary
316(1)
Exam Essentials
316(1)
Review Questions
317(4)
Chapter 13 Loading Data into Storage
321(28)
Loading and Moving Data to Cloud Storage
322(1)
Loading and Moving Data to Cloud Storage Using the Console
322(5)
Loading and Moving Data to Cloud Storage Using the Command Line
327(1)
Importing and Exporting Data
328(1)
Importing and Exporting Data: Cloud SQL
328(4)
Importing and Exporting Data: Cloud Firestore
332(1)
Importing and Exporting Data: BigQuery
332(5)
Importing and Exporting Data: Cloud Spanner
337(2)
Exporting Data from Cloud Bigtable
339(1)
Importing and Exporting Data: Cloud Dataproc
340(1)
Streaming Data to Cloud Pub/Sub
341(1)
Summary
342(1)
Exam Essentials
342(2)
Review Questions
344(5)
Chapter 14 Networking in the Cloud: Virtual Private Clouds and Virtual Private Networks
349(26)
Creating a Virtual Private Cloud with Subnets
350(1)
Creating a Virtual Private Cloud with Cloud Console
350(4)
Creating a Virtual Private Cloud with gcloud
354(1)
Creating a Shared Virtual Private Cloud Using gcloud
355(2)
Deploying Compute Engine with a Custom Network
357(2)
Creating Firewall Rules for a Virtual Private Cloud
359(1)
Structure of Firewall Rules
360(1)
Creating Firewall Rules Using Cloud Console
361(3)
Creating Firewall Rules Using gcloud
364(1)
Creating a Virtual Private Network
364(1)
Creating a Virtual Private Network Using Cloud Console
364(4)
Creating a Virtual Private Network Using gcloud
368(1)
Summary
368(1)
Exam Essentials
369(1)
Review Questions
370(5)
Chapter 15 Networking in the Cloud: DNS, Load Balancing, Google Private Access, and IP Addressing
375(24)
Configuring Cloud DNS
376(1)
Creating DNS Managed Zones Using Cloud Console
376(5)
Creating DNS Managed Zones Using gcloud
381(1)
Configuring Load Balancers
382(1)
Types of Load Balancers
382(1)
Configuring Load Balancers Using Cloud Console
383(3)
Configuring Load Balancers Using gcloud
386(3)
Google Private Access
389(1)
Managing IP Addresses
389(1)
Expanding CIDR Blocks
390(1)
Reserving IP Addresses
390(1)
Summary
391(1)
Exam Essentials
392(2)
Review Questions
394(5)
Chapter 16 Deploying Applications with Cloud Marketplace and Cloud Foundation Toolkit
399(26)
Deploying a Solution Using Cloud Marketplace
400(1)
Browsing Cloud Marketplace and Viewing Solutions
400(3)
Deploying Cloud Marketplace Solutions
403(8)
Building Infrastructure Using the Cloud Foundation Toolkit
411(1)
Deployment Manager Configuration Files
411(3)
Deployment Manager Template Files
414(1)
Launching a Deployment Manager Template
414(1)
Cloud Foundation Toolkit
415(3)
Config Connector
418(1)
Summary
418(1)
Exam Essentials
418(2)
Review Questions
420(5)
Chapter 17 Configuring Access and Security
425(22)
Managing Identity and Access Management
426(1)
Viewing Account IAM Assignments
426(2)
Assigning IAM Roles to Accounts and Groups
428(4)
Defining Custom IAM Roles
432(4)
Managing Service Accounts
436(1)
Managing Service Accounts with Scopes
436(2)
Assigning a Service Account to a VM Instance
438(2)
Viewing Audit Logs
440(1)
Summary
441(1)
Exam Essentials
441(2)
Review Questions
443(4)
Chapter 18 Monitoring, Logging, and Cost Estimating
447(26)
Cloud Monitoring
448(1)
Creating Dashboards
449(1)
Using Metric Explorer
450(4)
Creating Alerts
454(4)
Cloud Logging
458(1)
Log Routers and Log Sinks
458(1)
Configuring Log Sinks
459(1)
Viewing and Filtering Logs
459(3)
Viewing Message Details
462(1)
Using Cloud Diagnostics
463(1)
Overview of Cloud Trace
463(1)
Viewing Google Cloud Status
464(1)
Using the Pricing Calculator
464(3)
Summary
467(1)
Exam Essentials
468(1)
Review Questions
469(4)
Appendix Answers to Review Questions
473(42)
Chapter 1 Overview of Google Cloud
474(2)
Chapter 2 Google Cloud Computing Services
476(2)
Chapter 3 Projects, Service Accounts, and Billing
478(2)
Chapter 4 Introduction to Computing in Google Cloud
480(2)
Chapter 5 Computing with Compute Engine Virtual Machines
482(3)
Chapter 6 Managing Virtual Machines
485(2)
Chapter 7 Computing with Kubernetes
487(2)
Chapter 8 Managing Standard Mode Kubernetes Clusters
489(2)
Chapter 9 Computing with Cloud Run and App Engine
491(3)
Chapter 10 Computing with Cloud Functions
494(2)
Chapter 11 Planning Storage in the Cloud
496(2)
Chapter 12 Deploying Storage in Google Cloud
498(2)
Chapter 13 Loading Data into Storage
500(2)
Chapter 14 Networking in the Cloud: Virtual Private Clouds and Virtual Private Networks
502(2)
Chapter 15 Networking in the Cloud: DNS, Load Balancing, Google Private Access, and IP Addressing
504(3)
Chapter 16 Deploying Applications with Cloud Marketplace and Cloud Foundation Toolkit
507(2)
Chapter 17 Configuring Access and Security
509(2)
Chapter 18 Monitoring, Logging, and Cost Estimating
511(4)
Index 515
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.