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

Microsoft DP-300 Korean test insides dumps
  • Exam Code: DP-300-KR
  • Exam Name: Administering Relational Databases on Microsoft Azure (DP-300 Korean Version)
  • Updated: Aug 16, 2026
  • Q & A: 503 Questions and Answers
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Reference: https://learn.microsoft.com/en-us/credentials/certifications/azure-database-administrator-associate/?practice-assessment-type=certification

Job Opportunities

Passing DP-300 exam and acquiring the associate-level certificate allows one to get hired in the following job positions:

  • System Administrator
  • System Engineer
  • Azure Database Administrator

According to the research done by PayScale.com, the average annual basic salary a database administrator can earn is estimated to be $74k per year on average.

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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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Microsoft DP-300 Korean Exam Syllabus Topics:

SectionWeightObjectives
Implement a secure environment20–25%- Configure authentication and authorization
  • 1. Apply least privilege principle
    • 2. Implement Microsoft Entra ID authentication
      • 3. Manage database users, roles, and permissions
        - Secure data at rest and in transit
        • 1. Configure encryption for connections and data transfer
          • 2. Implement Transparent Data Encryption
            • 3. Manage keys and certificates
              - Implement compliance and security controls
              • 1. Configure auditing and logging
                • 2. Implement data masking and classification
                  • 3. Assess and remediate vulnerabilities
                    Plan and configure high availability and disaster recovery20–25%- Design HA/DR strategy
                    • 1. Choose between built-in and custom solutions
                      • 2. Define RPO and RTO requirements
                        • 3. Evaluate hybrid and cross-region options
                          - Implement backup and restore
                          • 1. Manage backup storage and costs
                            • 2. Perform point-in-time and long-term retention restores
                              • 3. Configure automated backups and retention
                                - Configure high availability solutions
                                • 1. Implement failover groups and auto-failover
                                  • 2. Test and monitor HA/DR operations
                                    • 3. Configure Always On availability groups
                                      Plan and implement data platform resources15–20%- 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
                                            - Plan deployment of database offerings
                                            • 1. Plan for scalability and performance requirements
                                              • 2. Evaluate deployment options for Azure SQL services
                                                • 3. Identify use cases for hybrid and multi-cloud solutions
                                                  - Implement migration strategies
                                                  • 1. Perform offline and online migrations
                                                    • 2. Evaluate migration requirements and strategies
                                                      • 3. Migrate between Azure services or from on-premises
                                                        Optimize query performance15–20%- Manage workload performance
                                                        • 1. Troubleshoot slow-running queries
                                                          • 2. Implement partitioning and compression
                                                            • 3. Control resource usage and concurrency
                                                              - Analyze query execution plans
                                                              • 1. Interpret execution plans and statistics
                                                                • 2. Evaluate index usage and design
                                                                  • 3. Identify bottlenecks and inefficiencies
                                                                    - Improve query performance
                                                                    • 1. Create and modify indexes
                                                                      • 2. Optimize T-SQL code and constructs
                                                                        • 3. Use query store and performance tuning tools
                                                                          Monitor and optimize operational resources15–20%- 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
                                                                                - 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

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