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AWS Certified Developer - Associate Guide

AWS Certified Developer - Associate Guide - Second Edition

By : Tankariya, Parmar
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AWS Certified Developer - Associate Guide

AWS Certified Developer - Associate Guide

4 (7)
By: Tankariya, Parmar

Overview of this book

This book will focus on the revised version of AWS Certified Developer Associate exam. The 2019 version of this exam guide includes all the recent services and offerings from Amazon that benefits developers. AWS Certified Developer - Associate Guide starts with a quick introduction to AWS and the prerequisites to get you started. Then, this book will describe about getting familiar with Identity and Access Management (IAM) along with Virtual private cloud (VPC). Next, this book will teach you about microservices, serverless architecture, security best practices, advanced deployment methods and more. Going ahead we will take you through AWS DynamoDB A NoSQL Database Service, Amazon Simple Queue Service (SQS) and CloudFormation Overview. Lastly, this book will help understand Elastic Beanstalk and will also walk you through AWS lambda. At the end of this book, we will cover enough topics, tips and tricks along with mock tests for you to be able to pass the AWS Certified Developer - Associate exam and develop as well as manage your applications on the AWS platform.
Table of Contents (30 chapters)
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Overview of AWS Certified Developer - Associate Certification

Serverless Computing

Serverless computing is a mechanism to run applications without provisioning, maintaining, and administering the compute or storage resources. You just need to worry about your application workload without worrying about the servers required to host your application and data.

Wait—what? Then how does the application run without servers? Technically, there are servers behind the scenes, but you don't need to manage these servers. The cloud service provider dynamically allocates and manages these servers to provide computing and data resources. When you use serverless computing, it reduces operational overhead and cost and increases agility. Developers do not need to worry about the compute and data resources required to run the workloads. An organization or team can focus on core solution development rather than worrying about infrastructure operations...

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