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

  • Exam Code: DP-300-KR
  • Exam Name: Administering Relational Databases on Microsoft Azure (DP-300 Korean Version)
  • Updated: Aug 28, 2026
  • Q&As: 503 Questions and Answers

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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 Administering Relational Databases on Azure Exam Certification Details:

Exam Price$165 (USD)
Passing Score700 / 1000
Schedule ExamPearson VUE
Sample QuestionsMicrosoft Administering Relational Databases on Azure Sample Questions
Exam NameMicrosoft Certified - Azure Database Administrator Associate
Duration120 mins
Exam CodeDP-300
Number of Questions40-60
Books / TrainingDP-300T00-A: Administering Relational Databases on Microsoft Azure

Query Performance Optimization

  • Reviewing index design and database table
    • Identifying issues on data quality and data duplication
    • Database tables
    • Assessing index design
    • Validating data types
    • Recommending table and index storage including file groups
    • Evaluation of table partitioning strategy
    • Compression for indexes and tables
  • Reviewing query plans
    • Determining the ideal execution plan
    • Identification of problem sections in execution plans
    • Extraction of query plans from the Query Store
  • Evaluation of Performance improvements
    • Determining the ideal Dynamic Management Views (DMVs) to collect information relating query performance
    • Using DMVs to identify performance issues
    • Implementation and identification of index changes for queries
    • Assessing the importance of hints in query performance
    • Defining query construct modifications

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

Microsoft DP-300 Korean Exam Syllabus Topics:

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

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