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Microsoft DP-300 Korean Exam : Administering Relational Databases on Microsoft Azure (DP-300 Korean Version)

DP-300 Korean actual test
  • Exam Code: DP-300-KR
  • Exam Name: Administering Relational Databases on Microsoft Azure (DP-300 Korean Version)
  • Updated: Sep 01, 2026
  • Q & A: 503 Questions and Answers
  • PDF Demo
  • PC Test Engine
  • Online Test Engine
  • Total Price: $69.99  

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Languages: English, Chinese (Simplified), Japanese, Korean

Retirement date: none

This exam measures your ability to accomplish the following technical tasks: plan and implement data platform resources; implement a secure environment; monitor and optimize operational resources; optimize query performance; perform automation of tasks; plan and implement a High Availability and Disaster Recovery (HADR) environment; and perform administration by using T-SQL.

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Execute Tasks Automation Performance: 10-15%

  • Implement & Evaluate Notification and Alert Strategies: This section requires one’s expertise in creating event notifications according to metrics, creating alerts for changes in server configurations, and creating tasks that react to specific event notifications.
  • Create Scheduled Tasks: The candidates should demonstrate their skills in configuring multi-server automation and notifications for task non-completion/success/failure.
  • Automate & Manage Tasks within Azure: This part covers the individuals’ skills in automating backups and performance patching and tuning, as well as implementing policies with automated evaluation modes.

Reference: https://learn.microsoft.com/en-us/credentials/certifications/azure-database-administrator-associate/?practice-assessment-type=certification

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Microsoft DP-300 Korean Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Monitor and optimize operational resources15–20%- Optimize resource consumption
  • 1. Adjust compute, storage, and tier settings
    • 2. Implement auto-scaling and elasticity
      • 3. Manage costs and licensing
        - Monitor database performance and health
        • 1. Set up alerts and notifications
          • 2. Use Azure Monitor, SQL Insights, and metrics
            • 3. Identify and diagnose performance issues
              - Automate maintenance and operations
              • 1. Schedule and perform updates and patches
                • 2. Manage database lifecycle operations
                  • 3. Automate tasks using jobs, scripts, or Logic Apps
                    Topic 2: Plan and configure high availability and disaster recovery20–25%- Implement backup and restore
                    • 1. Manage backup storage and costs
                      • 2. Configure automated backups and retention
                        • 3. Perform point-in-time and long-term retention restores
                          - Design HA/DR strategy
                          • 1. Define RPO and RTO requirements
                            • 2. Choose between built-in and custom solutions
                              • 3. Evaluate hybrid and cross-region options
                                - Configure high availability solutions
                                • 1. Configure Always On availability groups
                                  • 2. Test and monitor HA/DR operations
                                    • 3. Implement failover groups and auto-failover
                                      Topic 3: Implement a secure environment20–25%- Configure authentication and authorization
                                      • 1. Manage database users, roles, and permissions
                                        • 2. Apply least privilege principle
                                          • 3. Implement Microsoft Entra ID authentication
                                            - Implement compliance and security controls
                                            • 1. Implement data masking and classification
                                              • 2. Assess and remediate vulnerabilities
                                                • 3. Configure auditing and logging
                                                  - Secure data at rest and in transit
                                                  • 1. Configure encryption for connections and data transfer
                                                    • 2. Manage keys and certificates
                                                      • 3. Implement Transparent Data Encryption
                                                        Topic 4: Plan and implement data platform resources15–20%- Plan deployment of database offerings
                                                        • 1. Evaluate deployment options for Azure SQL services
                                                          • 2. Plan for scalability and performance requirements
                                                            • 3. Identify use cases for hybrid and multi-cloud solutions
                                                              - Deploy database resources
                                                              • 1. Deploy Azure SQL Database, Managed Instance, and SQL Server on Azure VMs
                                                                • 2. Automate deployment using templates, PowerShell, or CLI
                                                                  • 3. Configure resources for scale and performance
                                                                    - Implement migration strategies
                                                                    • 1. Migrate between Azure services or from on-premises
                                                                      • 2. Perform offline and online migrations
                                                                        • 3. Evaluate migration requirements and strategies
                                                                          Topic 5: Optimize query performance15–20%- Analyze query execution plans
                                                                          • 1. Evaluate index usage and design
                                                                            • 2. Identify bottlenecks and inefficiencies
                                                                              • 3. Interpret execution plans and statistics
                                                                                - Manage workload performance
                                                                                • 1. Implement partitioning and compression
                                                                                  • 2. Troubleshoot slow-running queries
                                                                                    • 3. Control resource usage and concurrency
                                                                                      - Improve query performance
                                                                                      • 1. Optimize T-SQL code and constructs
                                                                                        • 2. Use query store and performance tuning tools
                                                                                          • 3. Create and modify indexes

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