Book Image

AWS Certified Developer - Associate Guide - Second Edition

By : Vipul Tankariya, Bhavin Parmar
5 (2)
Book Image

AWS Certified Developer - Associate Guide - Second Edition

5 (2)
By: Vipul Tankariya, Bhavin 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)
Free Chapter
1
Overview of AWS Certified Developer - Associate Certification

DynamoDB best practices

DynamoDB best practices are as follows:

  • Create a primary key that spans multiple partitions. Choose the primary key that has more distinct values. If the number of distinct values is less in a primary key attribute, items may be distributed in a limited number of partitions instead of all available partitions.
  • In DynamoDB, each item can have a maximum size of 400 KB; however, in a table, there is no limit on the number of items. To efficiently store large items in a table, use one of the mechanisms, such as a one-to-many table, multiple tables to support varied access patterns, compress large attribute values, store large attribute values in Amazon S3, or break up large attributes across multiple items.
  • By default, Scan reads the entire table with all items and consumes more throughput. Use Query instead of Scan, as it is more economical.
  • Create LSIs for...