You're reading from AWS Certified Database – Specialty (DBS-C01) Certification Guide A comprehensive guide to becoming an AWS Certified Database specialist

Product type Paperback

Published in May 2022

Publisher Packt

ISBN-13 9781803243108

Length 472 pages

Edition 1st Edition

Tools

AWS

Concepts

IT Certification

Author (1):

Kate Gawron

Preface

1. Part 1: Introduction to Databases on AWS

2. Chapter 1: AWS Certified Database – Specialty Overview FREE CHAPTER

3. Chapter 2: Understanding Database Fundamentals

4. Chapter 3: Understanding AWS Infrastructure

5. Part 2: Workload-Specific Database Design

6. Chapter 4: Relational Database Service

7. Chapter 5: Amazon Aurora

8. Chapter 6: Amazon DynamoDB

9. Chapter 7: Redshift and DocumentDB

10. Chapter 8: Neptune, Quantum Ledger Database, and Timestream

11. Chapter 9: Amazon ElastiCache

12. Part 3: Deployment and Migration and Database Security

13. Chapter 10: The AWS Schema Conversion Tool and AWS Database Migration Service

14. Chapter 11: Database Task Automation

15. Chapter 12: AWS Database Security

16. Part 4: Monitoring and Optimization

17. Chapter 13: CloudWatch and Logging

18. Chapter 14: Backup and Restore

19. Chapter 15: Troubleshooting Tools and Techniques

20. Part 5: Assessment

21. Chapter 16: Exam Practice

22. Chapter 17: Answers

23. Other Books You May Enjoy

Cheat sheet

This cheat sheet reminds you of the high-level topics and points covered in this chapter and should act as a revision guide and refresher:

Amazon Aurora is a managed database service created by AWS that offers a database compatible with MySQL or PostgreSQL.
An Aurora cluster features reader and writer instances with their own endpoints, allowing you to split your application workload between reads and writes.
You do not define the storage capacity for Aurora as it can scale instantaneously and automatically. You also do not need to define any Input/Output Operations Per Second (IOPS) or throughput as you always get the maximum available with any Aurora instance or storage size.
You can have up to 15 reader instances in any one cluster, but only one writer instance.
Aurora automates many of the daily administrative functions typically carried out by a DBA. These include backups, log rotation, and patching of the operating system and database, and...