AWS Certified Database Specialty (2023)
This set of labs is designed to help you learn and prepare for the AWS Certified Database - Specialty certification exam. This esteemed certification validates your proficiency in selecting appropriate database services tailored for specific data types and workloads, automating database solution deployments, determining maintenance tasks and processes, strategizing monitoring, and alerting approaches, and implementing robust encryption measures for data at rest and in transit. The labs are structured to align closely with the AWS Certified Database - Specialty exam objectives, offering a well-organized and comprehensive approach to guide you towards success in achieving this valuable certification.
The target candidate for the AWS Certified Database - Specialty exam is an experienced professional with a strong background in database technologies, both on-premises and in the AWS Cloud. Candidates should possess a minimum of 2 years of hands-on experience working on AWS, as well as a minimum of 2 years of experience specifically related to common database technologies. This includes substantial expertise in working with relational and NoSQL databases in both on-premises and AWS Cloud environments. While there are no strict prerequisites, candidates are encouraged to consider achieving relevant AWS Associate-level certifications (e.g., AWS Certified Solutions Architect - Associate, AWS Certified Developer - Associate, AWS Certified SysOps Administrator - Associate) prior to pursuing the AWS Certified Database - Specialty certification to establish a solid foundational understanding of AWS services.
What's Included:
- 10 launches per module
- Free Access to production AWS Subscription (No sign up / credit cards)
- Free 24/7 premier support
- Free instructor access
Platform Features:
- Seamless paste to virtual machine functionality
- Integrated keyboard language translation for all countries
- Integrated step-by-step instructions
- Remote classroom management for instructors & admins
- Student progress reporting
| Lab | Estimated completion time |
|---|---|
| 1. Create and Connect to a MySQL Database |
45 mins
|
| 2. Backup and Restore AWS RDS Databases with Snapshots |
60 mins
|
| 3. Build and Query with Amazon Quantum Ledger Database (QLDB) |
60 mins
|
| 4. Database Migration on AWS |
120 mins
|
| 5. Using Data API with Amazon Aurora Serverless Database |
60 mins
|
| 6. Introduction to RDS Database |
60 mins
|
| 7. How to Encrypt an Unencrypted RDS DB Instance |
60 mins
|
| 8. Export Amazon RDS DB Snapshot to S3 |
60 mins
|
| 9. Access DynamoDB DAX Cluster by Installing Sample Application on EC2 Instance |
60 mins
|
| 10. Transfer data to S3 using Amazon Kinesis Firehose |
60 mins
|
| 11. Create a DynamoDB table with a CloudFormation Stack |
45 mins
|
| 12. Adding a Database to Elastic Beanstalk Environment |
45 mins
|
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