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

Summary

In this chapter, we have learned about the final three new databases offered by AWS: Neptune, QLDB, and Timestream. We have learned that Neptune is a graph database fully managed by AWS and is used to define connections between records. We also learned how to use Gremlin and the Neptune Bulk Loader to query and load data.

For QLDB, we discovered what immutable means and how QLDB stores data and all historical versions, making it impossible for it to be changed without leaving a record.

Finally, we learned how to store large amounts of time-value data in Timestream that optimizes storage and queries of data from sensors or IoT devices.

We have now learned about all the different databases that AWS offers and that are covered in the exam. We have practiced working with the AWS console and the AWS CLI to create, query, and delete the databases. We have also learned how to work with other AWS services such as S3 and IAM.

In the next chapter, we are going to learn about...