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AWS Certified Database – Specialty (DBS-C01) Certification Guide

You're reading from  AWS Certified Database – Specialty (DBS-C01) Certification Guide

Product type Book
Published in May 2022
Publisher Packt
ISBN-13 9781803243108
Pages 472 pages
Edition 1st Edition
Languages
Author (1):
Kate Gawron Kate Gawron
Profile icon Kate Gawron

Table of Contents (24) Chapters

Preface 1. Part 1: Introduction to Databases on AWS
2. Chapter 1: AWS Certified Database – Specialty Overview 3. Chapter 2: Understanding Database Fundamentals 4. Chapter 3: Understanding AWS Infrastructure 5. Part 2: Workload-Specific Database Design
6. Chapter 4: Relational Database Service 7. Chapter 5: Amazon Aurora 8. Chapter 6: Amazon DynamoDB 9. Chapter 7: Redshift and DocumentDB 10. Chapter 8: Neptune, Quantum Ledger Database, and Timestream 11. Chapter 9: Amazon ElastiCache 12. Part 3: Deployment and Migration and Database Security
13. Chapter 10: The AWS Schema Conversion Tool and AWS Database Migration Service 14. Chapter 11: Database Task Automation 15. Chapter 12: AWS Database Security 16. Part 4: Monitoring and Optimization
17. Chapter 13: CloudWatch and Logging 18. Chapter 14: Backup and Restore 19. Chapter 15: Troubleshooting Tools and Techniques 20. Part 5: Assessment
21. Chapter 16: Exam Practice
22. Chapter 17: Answers 23. Other Books You May Enjoy

Cheat sheet

This cheat sheet summarizes the key points from this chapter:

  • You can use a variety of tools to automate your AWS processes by using the AWS CLI, CloudFormation, and the CDK, depending on the use case.
  • The AWS CLI is well suited for running creation tasks or for obtaining the status and information about your AWS infrastructure and services.
  • CloudFormation is used to create stacks. Stacks are groups of AWS components that should be deployed together. They can be used to create a full application stack containing a VPC, security groups, EC2 servers, RDS databases, and almost all other AWS services.
  • CloudFormation can offer deletion protection to stop someone from accidentally deleting a stack and its components.
  • AWS Glue is used to create a metadata schema of a wide variety of data sources, such as CSV files within S3 or Amazon Redshift tables. It can also be used to create more complex ETL jobs by adding data transformation rules.
  • AWS Glue supports...
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