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

  • Exam Code: DP-300-KR
  • Exam Name: Administering Relational Databases on Microsoft Azure (DP-300 Korean Version)
  • Updated: Jul 26, 2026
  • Q & A: 503 Questions and Answers

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

Execute Tasks Automation Performance: 10-15%

  • Create Scheduled Tasks: The candidates should demonstrate their skills in configuring multi-server automation and notifications for task non-completion/success/failure.
  • 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.
  • 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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Further Certification Path

The Microsoft Certified: Azure Database Administrator Associate certification gives you a chance to jumpstart your career by taking expert-level certificates. The options available on the Azure track include Microsoft Certified: Azure Data Engineer Associate, Microsoft Certified: Azure Solutions Architect Expert, and others.

Microsoft DP-300 Korean Exam Syllabus Topics:

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

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