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AWS Certified Database - Specialty (DBS-C01) - Practice Plan

IMPORTANT NOTICE

This certification was RETIRED on April 29, 2024 and is no longer available for new candidates.

If you're looking to pursue a database certification, please consider: - AWS Certified Data Engineer - Associate (Launched March 2024) - Recommended replacement - 📖 Data Engineer Certification - Official certification page - AWS Certified Solutions Architect - Professional (Covers advanced database architectures) - 📖 Solutions Architect Professional - Advanced certification - AWS Certified Solutions Architect - Associate (Covers database fundamentals) - 📖 Solutions Architect Associate - Foundation certification

Historical Practice Plan (For Reference Only)

This practice plan is preserved for those who earned the DBS-C01 certification and want to reference their study materials, or for understanding AWS database concepts.

Week 1-2: Relational Databases - RDS and Aurora

Week 3-4: NoSQL Databases - DynamoDB

Week 5: Specialized Databases

Week 6-7: Data Warehousing and Caching

Week 8-9: Database Migration

Week 10: Database Security

Week 11: Monitoring and Performance

Week 12: Review and Practice Exams

  • Complete 2-3 full practice exams
  • Hands-on labs for each database service
  • Review incorrect answers and weak areas
  • Database selection decision trees
  • Cost optimization strategies
  • Disaster recovery scenarios

Key Concepts by Domain

1. Workload-Specific Database Design (26%)

Database Selection Criteria - Relational (RDS/Aurora): ACID transactions, complex queries, established schemas - Key-Value (DynamoDB): High throughput, simple queries, flexible schema - Document (DocumentDB): Semi-structured data, JSON documents - Graph (Neptune): Highly connected data, relationship queries - Time Series (Timestream): IoT data, monitoring metrics, logs - Ledger (QLDB): Immutable history, cryptographic verification - In-Memory (ElastiCache/MemoryDB): Microsecond latency, caching

Design Patterns - Normalization vs denormalization - Partition key design for DynamoDB - Read replica placement - Caching layer architecture - Multi-region database design

2. Deployment and Migration (20%)

Deployment Best Practices - Infrastructure as code (CloudFormation) - Automated deployment pipelines - Blue/green deployments for databases - Canary deployments

Migration Strategies - DMS for minimal downtime migrations - Snapshot and restore for one-time migrations - SCT for schema conversion (Oracle/SQL Server to Aurora) - Validation and cutover planning

3. Management and Operations (18%)

Operational Excellence - Automated backups and retention policies - Maintenance window scheduling - Parameter group management - Version upgrades (minor and major) - Scaling strategies (vertical and horizontal)

High Availability - Multi-AZ deployments - Aurora fault tolerance - DynamoDB global tables - Automated failover procedures

4. Monitoring and Troubleshooting (18%)

Monitoring - CloudWatch metrics and alarms - Performance Insights - Enhanced monitoring - Database activity streams - Custom CloudWatch dashboards

Troubleshooting - Slow query identification - Connection pooling issues - Replication lag - Storage and IOPS constraints - Lock contention

5. Database Security (18%)

Security Layers - Network: VPC, security groups, NACLs - Access: IAM policies, database users - Encryption: KMS for at-rest, SSL/TLS for in-transit - Auditing: CloudTrail, database logs - Secrets: Secrets Manager, Parameter Store

Hands-On Lab Exercises

Lab 1: RDS Multi-AZ with Read Replicas

  1. Create RDS MySQL instance with Multi-AZ
  2. Enable automated backups
  3. Create read replica in different region
  4. Test failover scenario
  5. Restore from snapshot

Lab 2: DynamoDB Global Tables

  1. Design partition key strategy
  2. Create DynamoDB table with streams
  3. Configure global table in 3 regions
  4. Test cross-region replication
  5. Implement DAX caching layer

Lab 3: Aurora Serverless

  1. Deploy Aurora Serverless v2 cluster
  2. Configure auto-scaling
  3. Test scaling under load
  4. Implement Data API for serverless apps
  5. Monitor with Performance Insights

Lab 4: Database Migration with DMS

  1. Set up source and target databases
  2. Configure DMS replication instance
  3. Create migration task with CDC
  4. Validate data consistency
  5. Perform cutover

Lab 5: Database Security Hardening

  1. Enable encryption at rest
  2. Configure IAM database authentication
  3. Set up Secrets Manager rotation
  4. Enable database activity streams
  5. Configure VPC endpoints

Exam Preparation Tips

Focus Areas

  • Database selection for specific use cases
  • RDS vs Aurora capabilities and differences
  • DynamoDB partition key design
  • Migration strategies and DMS
  • Security best practices (encryption, IAM, VPC)
  • High availability and disaster recovery
  • Performance optimization and troubleshooting

Common Scenarios

  • Choosing between relational and NoSQL databases
  • Designing highly available database architectures
  • Migrating on-premises databases to AWS
  • Optimizing slow database queries
  • Implementing multi-region database solutions
  • Database security and compliance requirements

For Database Professionals

Primary Path: AWS Certified Data Engineer - Associate - Comprehensive coverage of AWS data services - Includes database design, implementation, and operations - Aligned with modern data engineering roles - Associate-level certification

Alternative Path: Solutions Architect Track 1. AWS Certified Solutions Architect - Associate - Database architecture fundamentals - Multi-tier application design - Cost optimization

  1. AWS Certified Solutions Architect - Professional
  2. Advanced database architectures
  3. Enterprise-scale migrations
  4. Multi-region strategies

Complementary Certifications - AWS Certified SysOps Administrator - Associate (Operations focus) - AWS Certified Security - Specialty (Database security) - AWS Certified Machine Learning - Specialty (Databases for ML)

Learning Resources

Official AWS Resources

Hands-On Practice

Study Guides and Practice Tests

  • AWS Official Practice Exam (if available before retirement)
  • Tutorials Dojo practice tests (historical)
  • Whizlabs practice exams (historical)
  • A Cloud Guru / Linux Academy courses (historical)

Database-Specific Resources

Database Service Comparison Chart

Database Type Use Cases Key Features
RDS MySQL/PostgreSQL Relational Traditional apps, ACID transactions Multi-AZ, read replicas, automated backups
Aurora Relational High performance, cloud-native apps 5x faster than MySQL, auto-scaling storage
DynamoDB NoSQL Key-Value High throughput, serverless apps Single-digit ms latency, global tables
DocumentDB NoSQL Document MongoDB workloads MongoDB compatible, fully managed
Neptune Graph Social networks, fraud detection Gremlin/SPARQL support, high availability
QLDB Ledger Audit trails, immutable records Cryptographically verifiable
Timestream Time Series IoT, monitoring, analytics Built-in time series analytics
Redshift Data Warehouse Analytics, BI, reporting Columnar storage, Spectrum for S3
ElastiCache In-Memory Caching, session store Redis/Memcached, microsecond latency

Notes

  • If you hold the DBS-C01 certification, it remains valid for 3 years from the date earned
  • The database knowledge from DBS-C01 remains highly relevant
  • AWS database services continue to be critical for cloud applications
  • Consider pursuing current certifications to maintain and expand your expertise

Last Updated: October 2024 Status: RETIRED - Reference Only