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Updated: May 28, 2026
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Below are the topics of AWS Certified Database Specialty Exam
Candidates must know the exam topics before they start of preparation. Because it will really help them in hitting the core. Our AWS Certified Database - Specialty exam dumps will include the following topics:
- Monitoring and Troubleshooting 18%
- Deployment and Migration 20%
- Database Security 18%
- Workload-Specific Database Design 26%
- Management and Operations 18%
Reference: https://aws.amazon.com/certification/certified-database-specialty/
Eligibility Requirement for Exam
To raise the chances of success in the test, one should have at least five years of experience with database technologies. Also, a minimum of 2 years of working with AWS are recommended. If you have some background in performing tasks relating to on-premises & AWS cloud-based NoSQL and relational databases, it becomes easier for you to ace the exam as well.
Still, the main requirement is to grasp all the topics covered in DBS-C01. These include the design, migration, and deployment of databases, common operations, management, security concepts, monitoring, and troubleshooting. One should learn more about high availability, automation, alerting strategies, auditing solutions, and others.
AWS Database Specialty Exam Syllabus Topics:
| Section | Objectives |
|---|---|
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 |
It is advisable that the learners have to know the syllabus for the Amazon AWS Certified Database – Specialty certification exam to effectively prepare for it with ease. This test consists of 5 topics that are listed below:
- Management & Operations (18%)
The questions of this topic evaluate the test takers’ skills in determining maintenance processes and tasks as well as restore and backup strategies and managing the operational environment of the database solution.
- Database Security (18%)
This part requires that the individuals know how to demonstrate their knowledge of evaluating auditing solutions, encrypting data in transit & at rest, determining access control as well as authentication mechanisms, and recognizing potential security vulnerability within the database solutions.
- Deployment and Migration (20%)
Within the framework of this subject area, the candidates have to demonstrate their competence in deploying automate database solutions, executing & validating data migration, as well as determining data migration and data preparation strategies, among others.
- Workload-Specific Database Design (26%)
The first domain validates the students’ expertise in selecting correct database services for specific types of workloads & data, comparing the costs of database solutions, as well as designing a database solution for compliance, scalability & performance, and determining strategies for high availability & disaster recovery.
- Monitoring and Troubleshooting (18%)
This objective revolves around the applicants’ proficiency in determining and monitoring strategies, optimizing database performance, as well as troubleshooting & resolving common database issues.
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