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

Introduction to database concepts and models

Today, there are several types of database models, but the most common are relational and non-relational models. Relational databases have existed for years and allow you to efficiently manage your data with the ability to perform complex queries and analyses. However, they have certain restrictions, such as the fact that you need to define the database schema (its structure) before you can add data, and changing this later can be difficult. Non-relational databases offer a lot more flexibility and are used for many modern-day web and mobile applications. Let's look at the key differences.

Relational databases

A relational database is often compared to a spreadsheet, although databases offer more capabilities than just letting you analyze data using complex calculations and formulas. Like a spreadsheet, a relational database can be composed of one or more tables. Within each table, you have rows and columns – columns define...