Amazon DBS-C01 Korean Q&A - in .pdf

  • Exam Code: DBS-C01 Korean
  • Exam Name: AWS Certified Database - Specialty (DBS-C01 Korean Version)
  • Q & A: 325 Questions and Answers
  • PDF Price: $69.99
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  • Exam Code: DBS-C01 Korean
  • Exam Name: AWS Certified Database - Specialty (DBS-C01 Korean Version)
  • Q & A: 325 Questions and Answers
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The AWS Certified Database - Specialty certification is recognized by employers worldwide as a valuable credential that demonstrates an individual's expertise in database management on the AWS platform. Professionals who hold this certification are highly sought-after by employers and can earn higher salaries than their non-certified counterparts.

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To become an AWS Certified Database Specialist, candidates must demonstrate their proficiency in designing, deploying, and managing highly available, cost-effective, and secure database solutions on AWS. They must also be able to optimize database performance and troubleshoot common database issues. AWS Certified Database - Specialty (DBS-C01 Korean Version) certification exam covers a wide range of topics, including database design principles, data modeling, database security, backup and recovery, and database automation.

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Amazon AWS-Certified-Database-Specialty (AWS Certified Database - Specialty (DBS-C01)) Exam is designed to measure the technical expertise of individuals in the field of database administration on the Amazon Web Services (AWS) platform. AWS Certified Database - Specialty (DBS-C01 Korean Version) certification is ideal for database administrators, data engineers, and developers who work with databases on AWS. DBS-C01-KR exam covers various topics, including database design, deployment, migration, management, and optimization on AWS.

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

Amazon DBS-C01 Korean Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Workload-Specific Database Design26%- Database solution design for application requirements
  • 1. NoSQL design patterns (DynamoDB use cases)
    • 2. Relational database design (RDS/Aurora considerations)
      - Data modeling and schema design
      • 1. Normalization vs denormalization tradeoffs
        • 2. Data access pattern optimization
          Topic 2: Monitoring and Troubleshooting18%- Performance monitoring
          • 1. Amazon CloudWatch metrics and alarms
            • 2. Performance Insights usage
              - Troubleshooting database issues
              • 1. Query performance analysis
                • 2. Connection and latency issues diagnosis
                  Topic 3: Database Security18%- Access control and authentication
                  • 1. Encryption at rest and in transit
                    • 2. IAM-based database access control
                      - Compliance and auditing
                      • 1. Logging and audit trails
                        • 2. AWS KMS integration
                          Topic 4: Database Management and Operations18%- Automation and maintenance
                          • 1. Automated patching and maintenance windows
                            • 2. Performance tuning and optimization
                              - Operational management
                              • 1. Backup and restore strategies
                                • 2. Scaling (vertical and horizontal)
                                  Topic 5: Deployment and Migration20%- Database migration strategies
                                  • 1. AWS Database Migration Service (DMS)
                                    • 2. Schema conversion and compatibility planning
                                      - Deployment of database solutions
                                      • 1. Hybrid and multi-region deployments
                                        • 2. Amazon RDS and Aurora deployment patterns

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