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

Accessing a QLDB database

QLDB has three methods to query data, as follows:

  • AWS console—QLDB has a built-in graphical query tool.
  • Amazon QLDB shell—You can use a downloadable shell and connect from your local machine to the QLDB instance and run queries.
  • AWS application programming interface (API)—You can download a QLDB driver and make calls to the QLDB instance using a variety of coding languages such as Java, .NET, and Python.

These methods all use a language called PartiQL (pronounced particle) to run queries. PartiQL uses a similar structure to SQL queries, allowing you to run SELECT, UPDATE, and DELETE statements complete with WHERE clauses. Here's an example of this:

SELECT * FROM Cars AS c WHERE c.Reg IN ('BG12 YHG', 'D150 GWE');

Here is the output for the previous query. It follows a syntax called Amazon Ion, which closely resembles JavaScript Object Notation (JSON) syntax:

{
   &...