Book Image

AWS Certified Database – Specialty (DBS-C01) Certification Guide

By : Kate Gawron
5 (1)
Book Image

AWS Certified Database – Specialty (DBS-C01) Certification Guide

5 (1)
By: Kate Gawron

Overview of this book

The AWS Certified Database – Specialty certification is one of the most challenging AWS certifications. It validates your comprehensive understanding of databases, including the concepts of design, migration, deployment, access, maintenance, automation, monitoring, security, and troubleshooting. With this guide, you'll understand how to use various AWS databases, such as Aurora Serverless and Global Database, and even services such as Redshift and Neptune. You’ll start with an introduction to the AWS databases, and then delve into workload-specific database design. As you advance through the chapters, you'll learn about migrating and deploying the databases, along with database security techniques such as encryption, auditing, and access controls. This AWS book will also cover monitoring, troubleshooting, and disaster recovery techniques, before testing all the knowledge you've gained throughout the book with the help of mock tests. By the end of this book, you'll have covered everything you need to pass the DBS-C01 AWS certification exam and have a handy, on-the-job desk reference guide.
Table of Contents (24 chapters)
1
Part 1: Introduction to Databases on AWS
Free Chapter
2
Chapter 1: AWS Certified Database – Specialty Overview
5
Part 2: Workload-Specific Database Design
12
Part 3: Deployment and Migration and Database Security
16
Part 4: Monitoring and Optimization
20
Part 5: Assessment
21
Chapter 16: Exam Practice

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...