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AWS Certified Developer - Associate Guide

You're reading from   AWS Certified Developer - Associate Guide Your one-stop solution to passing the AWS developer's 2019 (DVA-C01) certification

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Product type Paperback
Published in Jun 2019
Publisher Packt
ISBN-13 9781789617313
Length 812 pages
Edition 2nd Edition
Tools
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Authors (2):
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Bhavin Parmar Bhavin Parmar
Author Profile Icon Bhavin Parmar
Bhavin Parmar
Vipul Tankariya Vipul Tankariya
Author Profile Icon Vipul Tankariya
Vipul Tankariya
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Toc

Table of Contents (30) Chapters Close

Preface 1. Overview of AWS Certified Developer - Associate Certification FREE CHAPTER 2. Understanding the Fundamentals of Amazon Web Services 3. Identity and Access Management (IAM) 4. Virtual Private Clouds 5. Getting Started with Elastic Compute Cloud (EC2) 6. Handling Application Traffic with ELB 7. Monitoring with CloudWatch 8. Simple Storage Service, Glacier, and CloudFront 9. Other AWS Storage Options 10. AWS Relational Database Service 11. AWS DynamoDB - A NoSQL Database Service 12. Amazon Simple Queue Service (SQS) 13. Simple Notification Service (SNS) 14. AWS Simple Workflow Service (SWF) 15. CloudFormation Overview 16. Understanding Elastic Beanstalk 17. Overview of AWS Lambda 18. Key Management Services 19. Working with AWS Kinesis 20. Working with AWS CodeBuild 21. Getting Started with AWS CodeDeploy 22. Working with AWS CodePipeline 23. CI/CD on AWS 24. Serverless Computing 25. Amazon Route 53 26. ElastiCache Overview 27. Mock Tests 28. Assessments 29. Another Book You May Enjoy

GSIs and LSIs

DynamoDB provides primary keys for quickly accessing items in a table by supplying primary key values in a query. The primary key is useful, and it can certainly speed up data retrieval from the table; however, in certain scenarios, applications can take advantage of secondary indexes. Secondary indexes can speed up item retrieval from a table based on any attribute aside from the primary key. For fulfilling these requirements, you need to create secondary indexes on the DynamoDB table. Once a secondary index is created on an attribute, you can use a Query or Scan request on specific indexes to retrieve items.

Secondary index refers to a data structure that is made up of a subset of attributes in a table. The main purpose of a secondary index is to provide an alternate key for query operations. You can use secondary indexes to read data using a query, in the same...

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