Book Image

AWS Certified Cloud Practitioner Exam Guide

By : Rajesh Daswani
3 (1)
Book Image

AWS Certified Cloud Practitioner Exam Guide

3 (1)
By: Rajesh Daswani

Overview of this book

Amazon Web Services is the largest cloud computing service provider in the world. Its foundational certification, AWS Certified Cloud Practitioner (CLF-C01), is the first step to fast-tracking your career in cloud computing. This certification will add value even to those in non-IT roles, including professionals from sales, legal, and finance who may be working with cloud computing or AWS projects. If you are a seasoned IT professional, this certification will make it easier for you to prepare for more technical certifications to progress up the AWS ladder and improve your career prospects. The book is divided into four parts. The first part focuses on the fundamentals of cloud computing and the AWS global infrastructure. The second part examines key AWS technology services, including compute, network, storage, and database services. The third part covers AWS security, the shared responsibility model, and several security tools. In the final part, you'll study the fundamentals of cloud economics and AWS pricing models and billing practices. Complete with exercises that highlight best practices for designing solutions, detailed use cases for each of the AWS services, quizzes, and two complete practice tests, this CLF-C01 exam study guide will help you gain the knowledge and hands-on experience necessary to ace the AWS Certified Cloud Practitioner exam.
Table of Contents (23 chapters)
1
Section 1: Cloud Concepts
5
Section 2: AWS Technologies
16
Section 3: AWS Security
18
Section 4: Billing and Pricing
20
Chapter 16: Mock Tests

Understanding the benefits of IaC using Amazon CloudFormation

The approach of using code to describe and deploy your infrastructure components automatically is known as IaC. IaC is a fundamental component that enables you to automate infrastructure builds in the cloud.

Building your infrastructure using code greatly improves deployment processes because the code is executed by machines. This also means that any infrastructure that's deployed using code is less prone to human errors, which is inherent in manual deployments. Furthermore, you can create templates for repeat deployments and enable versioning for those templates. Often, you want to mimic the testing and production environments with each other so that you are assured that once your application has passed the testing phase, it can be easily deployed to production. Using templates that describe your infrastructure is the best way to avoid any discrepancies between those environments.

Amazon CloudFormation is a...