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

Chapter 11

  1. 4

Enabling cross-region replication to pull all the s3 data into one region would work, but it isn't cost-efficient.

DMS cannot migrate a Glue catalog.

You cannot give permission for Glue to read another catalog in this way.

Glue can create a data catalog across all regions allowing Athena to query them, so this is the correct answer.

  1. 3

RDS will work but it is not cost-effective.

Redshift will work but it is not cost-effective.

Athena can directly query data from S3, so this is the most cost-effective solution.

Using EC2 to do this is complex and unnecessary.

  1. 2

Athena cannot query directly from Glacier.

Moving the data to standard S3 is the most cost-effective solution.

DynamoDB and Redshift would work, but they are not as cost-effective.

  1. 3 and 5

Revoking permissions is not a good solution.

Deletion protection does not exist for stacks.

Termination protection is a good solution, so...