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

  • Exam Code: DP-300 Korean
  • Exam Name: Administering Relational Databases on Microsoft Azure (DP-300 Korean Version)
  • Updated: Sep 21, 2026     Q & A: 503 Questions and Answers

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Skills measured

  • Optimize query performance (5-10%)
  • Perform administration by using T-SQL (10-15%)
  • Monitor and optimize operational resources (15-20%)
  • Implement a secure environment (15-20%)
  • Plan and implement data platform resources (15-20%)
  • Perform automation of tasks (10-15%)
  • Plan and implement a High Availability and Disaster Recovery (HADR) environment (15-20%)

Career Prospects

As a certified Azure database administrator, there are different job roles that you can explore. These include a Database Administrator, a Database Engineer, a Database Architect, a System Administrator, an IT Azure Cloud Engineer, and a Service Engineer, among others. The average salary to expect from any of these positions is $77,670 per annum. However, the professionals with advanced experience can earn above the average industry standard.

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

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Skills Measured in DP-300 Exam

Planning and Implementation of Data Platform Resources

  • Using manual methods to deploy resources
    • Deploying database offerings on the certain platforms
    • Configuration of customized deployment templates
    • Applying updates and patches for IaaS and hybrid deployment
  • Strategy evaluation for shifting to Azure
    • Requirements evaluation for migration
    • Planning online and offline migration strategies
    • Upgrade requirements
    • Online and offline upgrade strategies
  • Recommending appropriate database solution based on specific needs
    • Evaluating needs for the deployments
    • Predicting the benefits of possible database solutions
    • Assessing scalability for possible database solution as well as its HADR
    • Identifying security features of appropriate database solution
  • Resource configuration for performance and scale
    • Configuration of Azure SQL database pools for performance and scale
    • Configuring managed instances for Azure SQL for performance and scale
    • SQL Server configuration in Azure VMs
    • Calculation of resource requirements
    • Evaluation of partitioning techniques for databases such as database sharding
  • Implementing an upgrading a migration strategy for shifting to Azure
    • Migration strategy for online and offline
    • Upgrade strategy for online and offline

Microsoft DP-300 Korean Exam Syllabus Topics:

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

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