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 DynamoDB is a low-latency, managed, and serverless NoSQL database created by AWS offering millisecond response times.
  • DynamoDB is serverless, which means you do not need to specify the compute needed for your workload; instead, you define capacity units that control how much data can be read and written.
  • You can run the table in on-demand mode, but the costs are generally higher than provisioned mode.
  • If you exceed the amount of capacity reserved, you can receive errors around throttling and the performance of your queries will drop.
  • DynamoDB stores data in items that must have a key to define them.
  • DynamoDB relies on two different index types, GSI and LSI, to control access to the items.
  • You can take manual backups or use PITR backups.
  • You can use global tables to provision your DynamoDB table...