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

Overview of Amazon Neptune

Amazon Neptune is a graph database. As we learned in Chapter 2, Understanding Database Fundamentals, a graph database stores information as nodes and relationships rather than in tables and indexes or documents. You use a graph database when you need to know how things connect together, or if you need to store data that has a large number of links between records and you want to improve performance when running queries to find out those links. You can have queries in a relational database management system (RDBMS) that traverse multiple tables, but the more tables and links you add to the query, the worse the performance becomes, and this is where a graph database can make a big difference.

Let's start by looking at Neptune architecture and how it is deployed within AWS in the Cloud.

Neptune architecture and features

Amazon Neptune is deployed within a VPC. When it is deployed, you control access to it using subnetworks (subnets) and security...