Book Image

AWS Certified Cloud Practitioner Study Guide: CLF-C01 Exam

By : Ben Piper, David Clinton
Book Image

AWS Certified Cloud Practitioner Study Guide: CLF-C01 Exam

By: Ben Piper, David Clinton

Overview of this book

AWS certifications validate the technical skills and knowledge required for building secure and reliable applications on the AWS cloud. The AWS Certified Cloud Practitioner certification is for individuals who have the knowledge and skills necessary to demonstrate an understanding of the AWS Cloud, independent of specific technical roles addressed by other AWS certifications. An AWS Certified Cloud Practitioner is a recommended path to achieving specialty certification or an optional start toward Associate certification. This guide provides a solid introduction and the resources you need to prove your knowledge in the exam. It covers all topics, beginning with what the AWS cloud and its basic global infrastructure and architectural principles. Other chapters dive into the technical, exploring core characteristics of deploying and operating in the AWS Cloud Platform, as well as basic security and compliance aspects and the shared security model. The text identifies sources of documentation or technical assistance, such as white papers or support tickets. The authors discuss the AWS Cloud value proposition and define billing, account management, and pricing models. This includes describing the key services AWS can provide and their common use cases such as compute, analytics, and so on. By the end of this book, you'll be thoroughly prepared for the foundational CLF-C01 exam.
Table of Contents (24 chapters)
Free Chapter
1
Cover
2
Acknowledgments
3
About the Authors
4
Table of Exercises
5
Introduction
6
Assessment Test
7
Answers to Assessment Test
20
Index
21
Advert
22
End User License Agreement

Summary

If there’s one thing that should be clear, it’s that AWS provides many different ways to automate the same task. The specific services and approaches you should use are architectural decisions beyond the scope of this book, but you should at least understand how each of the different AWS services covered in this chapter can enable automation.

Fundamentally, automation entails defining a task as code that a system carries out. This code can be written as imperative commands that specify the exact steps to perform the task. The most familiar type of example is the Bash or PowerShell script system administrators write to perform routine tasks. AWS Systems Manager, CodeBuild, and CodeDeploy use an imperative approach. Even the Userdata scripts that you use with EC2 Auto Scaling are imperative.

Code can also be written in a more abstract, declarative form, where you specify the end result of the task. The service providing the automation translates those declarative...