Microsoft DP-300日本語 : Administering Relational Databases on Microsoft Azure (DP-300日本語版)

  • Exam Code: DP-300日本語
  • Exam Name: Administering Relational Databases on Microsoft Azure (DP-300日本語版)
  • Updated: Aug 02, 2026     Q & A: 503 Questions and Answers

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Following are some reference material for actual Microsoft DP-300日本語 exam test

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Exam DP-300 focuses on administering relational databases on Microsoft Azure. It is designed for database administrators and data management specialists who are involved in handling cloud relational databases and on-premises ones developed on Microsoft Azure Data and Microsoft SQL Server services.

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

Microsoft DP-300日本語 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: 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. 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
                    Topic 2: Plan and configure high availability and disaster recovery20–25%- 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
                          - 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
                                - Configure high availability solutions
                                • 1. Test and monitor HA/DR operations
                                  • 2. Configure Always On availability groups
                                    • 3. Implement failover groups and auto-failover
                                      Topic 3: Implement a secure environment20–25%- Implement compliance and security controls
                                      • 1. Configure auditing and logging
                                        • 2. Implement data masking and classification
                                          • 3. Assess and remediate vulnerabilities
                                            - 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
                                                  - Configure authentication and authorization
                                                  • 1. Apply least privilege principle
                                                    • 2. Implement Microsoft Entra ID authentication
                                                      • 3. Manage database users, roles, and permissions
                                                        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. Automate deployment using templates, PowerShell, or CLI
                                                                • 2. Configure resources for scale and performance
                                                                  • 3. Deploy Azure SQL Database, Managed Instance, and SQL Server on Azure VMs
                                                                    - Implement migration strategies
                                                                    • 1. Perform offline and online migrations
                                                                      • 2. Evaluate migration requirements and strategies
                                                                        • 3. Migrate between Azure services or from on-premises
                                                                          Topic 5: 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. Manage database lifecycle operations
                                                                                  • 2. Schedule and perform updates and patches
                                                                                    • 3. Automate tasks using jobs, scripts, or Logic Apps
                                                                                      - Optimize resource consumption
                                                                                      • 1. Adjust compute, storage, and tier settings
                                                                                        • 2. Manage costs and licensing
                                                                                          • 3. Implement auto-scaling and elasticity

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