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

Implementing elasticity with Amazon Auto Scaling

One of the most amazing services on AWS is the ability to automatically scale your workloads when demand increases and then scale back in when demand drops. This service is offered as part of various core technologies—for example, computing services such as EC2 and database services such as DynamoDB.

Automatic scaling in response to a particular condition such as an increase in demand (for example, when average CPU utilization across your fleet of EC2 instances goes above a threshold such as 70%) can help provision additional capacity when it is required most. However, you are not stuck with the new size of your fleet. You can configure Auto Scaling so that if demand drops below a specific threshold value, it will terminate EC2 instances and therefore save on costs. Let's look at Auto Scaling for EC2 instances in detail next.

Auto Scaling is a regional service, and you can scale across AZs within a given Region, allowing...