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  • Automate database solution deployments
  • Execute and validate data migration
  • Determine data preparation and migration strategies

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AWS Database Specialty Exam Syllabus Topics:

SectionObjectives

Workload-Specific Database Design - 26%

Select appropriate database services for specific types of data and workloads.- Differentiate between ACID vs. BASE workloads
- Explain appropriate uses of types of databases (e.g., relational, key-value, document, in-memory, graph, time series, ledger)
- Identify use cases for persisted data vs. ephemeral data
Determine strategies for disaster recovery and high availability.- Select Region and Availability Zone placement to optimize database performance
- Determine implications of Regions and Availability Zones on disaster recovery/high availability strategies
- Differentiate use cases for read replicas and Multi-AZ deployments
Design database solutions for performance, compliance, and scalability.- Recommend serverless vs. instance-based database architecture
- Evaluate requirements for scaling read replicas
- Define database caching solutions
- Evaluate the implications of partitioning, sharding, and indexing
- Determine appropriate instance types and storage options
- Determine auto-scaling capabilities for relational and NoSQL databases
- Determine the implications of Amazon DynamoDB adaptive capacity
- Determine data locality based on compliance requirements
Compare the costs of database solutions.- Determine cost implications of Amazon DynamoDB capacity units, including on-demand vs. provisioned capacity
- Determine costs associated with instance types and automatic scaling
- Design for costs including high availability, backups, multi-Region, Multi-AZ, and storage type options
- Compare data access costs

Deployment and Migration - 20%

Automate database solution deployments.- Evaluate application requirements to determine components to deploy
- Choose appropriate deployment tools and services (e.g., AWS CloudFormation, AWS CLI)
Determine data preparation and migration strategies.- Determine the data migration method (e.g., snapshots, replication, restore)
- Evaluate database migration tools and services (e.g., AWS DMS, native database tools)
- Prepare data sources and targets
- Determine schema conversion methods (e.g., AWS Schema Conversion Tool)
- Determine heterogeneous vs. homogeneous migration strategies
Execute and validate data migration.- Design and script data migration
- Run data extraction and migration scripts
- Verify the successful load of data

Management and Operations - 18%

Determine maintenance tasks and processes.- Account for the AWS shared responsibility model for database services
- Determine appropriate maintenance window strategies
- Differentiate between major and minor engine upgrades
Determine backup and restore strategies.- Identify the need for automatic and manual backups/snapshots
- Differentiate backup and restore strategies (e.g., full backup, point-in-time, encrypting backups cross-Region)
- Define retention policies
- Correlate the backup and restore to recovery point objective (RPO) and recovery time objective (RTO) requirements
Manage the operational environment of a database solution.- Orchestrate the refresh of lower environments
- Implement configuration changes (e.g., in Amazon RDS option/parameter groups or Amazon DynamoDB indexing changes)
- Automate operational tasks
- Take action based on AWS Trusted Advisor reports

Monitoring and Troubleshooting - 18%

Determine monitoring and alerting strategies.- Evaluate monitoring tools (e.g., Amazon CloudWatch, Amazon RDS Performance Insights, database native)
- Determine appropriate parameters and thresholds for alert conditions
- Use tools to notify users when thresholds are breached (e.g., Amazon SNS, Amazon SQS, Amazon CloudWatch dashboards)
Troubleshoot and resolve common database issues.- Identify, evaluate, and respond to categories of failures (e.g., troubleshoot connectivity; instance, storage, and partitioning issues)
- Automate responses when possible
Optimize database performance.- Troubleshoot database performance issues
- Identify appropriate AWS tools and services for database optimization
- Evaluate the configuration, schema design, queries, and infrastructure to improve performance

Database Security - 18%

Encrypt data at rest and in transit.- Encrypt data in relational and NoSQL databases
- Apply SSL connectivity to databases
- Implement key management (e.g., AWS KMS, AWS CloudHSM)
Evaluate auditing solutions.- Determine auditing strategies for structural/schema changes (e.g., DDL)
- Determine auditing strategies for data changes (e.g., DML)
- Determine auditing strategies for data access (e.g., queries)
- Determine auditing strategies for infrastructure changes (e.g., AWS CloudTrail)
- Enable the export of database logs to Amazon CloudWatch Logs
Determine access control and authentication mechanisms.- Recommend authentication controls for users and roles (e.g., IAM, native credentials, Active Directory)
- Recommend authorization controls for users (e.g., policies)
Recognize potential security vulnerabilities within database solutions.- Determine security group rules and NACLs for database access
- Identify relevant VPC configurations (e.g., VPC endpoints, public vs. private subnets, demilitarized zone)
- Determine appropriate storage methods for sensitive data

Difficulty in Writing AWS Certified Database - Specialty

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Reference: https://aws.amazon.com/certification/certified-database-specialty/

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