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AWS DBS-C01 Exam Certification Details:
| Exam Name | AWS Certified Database - Specialty |
| Exam Price | $300 USD |
| Recommended Training / Books | AWS Database Offerings Planning and Designing Databases on AWS Exam Readiness - AWS Certified Database - Specialty |
| Passing Score | 750 / 1000 |
| Duration | 180 minutes |
| Sample Questions | AWS DBS-C01 Sample Questions |
| Schedule Exam | PEARSON VUE |
| Exam Code | DBS-C01 |
| Number of Questions | 65 |
The AWS-Certified-Database-Specialty certification exam is designed for individuals who have experience working with AWS database services such as Amazon Relational Database Service (Amazon RDS), Amazon DynamoDB, and Amazon Aurora. It also covers other core database concepts such as data modeling, database design, and database performance optimization.
Reference: https://aws.amazon.com/certification/certified-database-specialty/
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The AWS Certified Database - Specialty exam covers a wide range of database topics, including data modeling, database design, deployment, management, monitoring, migration, and automation. It also includes topics such as backup and recovery, security, compliance, and performance optimization. AWS-Certified-Database-Specialty-KR exam is designed to test the candidate's ability to work with different AWS database services, such as Amazon RDS, Aurora, DynamoDB, Redshift, and DocumentDB.
Amazon DBS-C01 (AWS Certified Database - Specialty (DBS-C01)) certification exam is a challenging and comprehensive exam designed to test the knowledge and skills of database professionals in managing and deploying databases on the AWS platform. AWS Certified Database - Specialty (DBS-C01 Korean Version) certification is intended for individuals who work with databases in the cloud and are looking to demonstrate their expertise in managing, designing, and deploying databases using AWS technologies.
Amazon DBS-C01 Korean Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Monitoring and Troubleshooting | 18% | - Performance optimization and tuning - Monitoring and alerting configuration - Logging and metrics analysis - Diagnose and resolve database issues |
| Management and Operations | 18% | - Backup and recovery planning - Maintenance and patching - High availability and disaster recovery - Capacity and resource management |
| Deployment and Migration | 20% | - Automated deployment strategies - Migration validation and cutover - Hybrid and multi-cloud integration - Data migration methods and tools |
| Database Security | 18% | - Encryption at rest and in transit - Network security and isolation - Authentication and access control - Auditing and compliance |
| Workload-Specific Database Design | 26% | - Select appropriate database services - Data modeling and schema design - Design for scalability and high availability - Cost and performance optimization |
