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AWS Certified SysOps Administrator Associate (SOA-C01) Cert Guide (Rough Cuts)
Добавил: literator / 24-09-2019, 13:08 /
Название: AWS Certified SysOps Administrator Associate (SOA-C01) Cert Guide (Rough Cuts)
Автор: Anthony Sequeira
Издательство: Pearson IT Certification
Год: 2019
Страниц: 127
Язык: английский
Формат: pdf
Размер: 10.1 MB

The AWS Certified Sysops Administrator Associate certification demonstrates your expertise in deploying, managing, securing, optimizing, and automating solutions on the world's leading cloud platform, Amazon Web Services. AWS Certified Sysops Administrator Associate Cert Guide is the comprehensive self-study resource for Amazon's valuable new exam.

Designed for all AWS Certified Sysops Administrator Associate candidates, this guide covers every exam objective concisely and logically, with extensive teaching features designed to promote retention and understanding. You'll find:

Hands-on labs you can perform with a free AWS account
Real-world examples throughout
Pre-chapter quizzes to assess knowledge upfront, and efficiently focus your study
Foundation topics sections that explain concepts and configurations, and link theory to practice
Key topics sections calling attention to every figure, table, and list you must know
Exam Preparation sections with additional chapter review features
Final preparation chapter with tools and resources to help you craft review and test-taking strategies and optimize study time
A customizable practice test library

This guide offers comprehensive, up-to-date coverage of all AWS Certified Sysops Administrator Associate topics related to:

Deploying, provisioning, managing, and operating AWS systems that scale, are highly available, and are fault tolerant
Implementing and managing data storage, and data flows into and out of AWS
Choosing the right AWS service for each requirement
Selecting the right best practices for AWS operations
Enforcing security and compliance
Projecting usage costs and establishing operational cost controls
Moving on-premises workloads into AWS
Automating and optimizing AWS systems for maximum efficiency and value

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