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Preparation Sources and Resources
Following the official study guide related to the Amazon DBS-C01 exam is an excellent way to diversify your entire preparation strategy and pass the test. These are the preparation steps that are vital in order to complete the Amazon AWS Certified Database – Specialty exam.
- Training Course
The candidates can also go for the AWS training programs. So, it is great to know that Amazon offers the opportunity to opt for this preparation variant. Joining this training program will help the applicants gain the skills and knowledge of the exam content.
- Official Website
The official website offers a lot of reliable resources and information that is extremely useful in preparing for the test. These available materials include study guides, documentations, whitepapers, FAQs, sample papers, and more.
- Practice Tests
The potential candidates can also take practice tests. With the help of the AWS Database Specialty Practice Exam, you will be sure of your preparation. By using this tool, you will be able to find out your weak areas so that you can work on them and fulfill the knowledge gaps. Besides the vendor’s website, you can observe other platforms that provide you with practice tests.
- Books and Guides
The books and study guides should be your next step in your preparation guide. You need to find the material that is enriched with updated information.
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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 |
Reference: https://aws.amazon.com/certification/certified-database-specialty/
Career Prospects
Amazon AWS Certified Database – Specialty is considered an industry recognized certificate. It validates your expertise in the larger extent of general AWS database services and fuels the overall performance of database technology to effectively drive the business transformation of an organization. After passing the Amazon DBS-C01 exam, you will be regarded as a highly qualified professional. This gives you the opportunity to be listed for interviews for various job roles, such as a Database Administrator, a Solutions Architect, an Infrastructure Cloud Engineer, a Network Engineer, a Senior Technical Trainer, a Cloud Engineer, a Senior Database Cloud Security Administrator, an IT Security Specialist, a Principal Software Engineer Developer, and a Data Architect. Besides that, the certified individuals can ask for a higher salary. With the Amazon AWS Certified Database – Specialty certification, your payment can vary from $30,000 to $150,000 per year. The number of wages will depend on several criteria, such as the organization you work for, your position, related tasks, and working experience, among others.
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