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

DP-300日本語 real exams

Exam Code: DP-300J

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

Updated: Aug 08, 2026

Q & A: 503 Questions and Answers

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Query Performance Optimization

  • Reviewing query plans
    • Determining the ideal execution plan
    • Identification of problem sections in execution plans
    • Extraction of query plans from the Query Store
  • 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
  • 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

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Microsoft DP-300日本語 Exam Syllabus Topics:

SectionWeightObjectives
Implement a secure environment20–25%- 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
              - Configure authentication and authorization
              • 1. Manage database users, roles, and permissions
                • 2. Implement Microsoft Entra ID authentication
                  • 3. Apply least privilege principle
                    Plan and implement data platform resources15–20%- 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
                          - 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. Evaluate migration requirements and strategies
                                    • 3. Migrate between Azure services or from on-premises
                                      Monitor and optimize operational resources15–20%- Monitor database performance and health
                                      • 1. Set up alerts and notifications
                                        • 2. Use Azure Monitor, SQL Insights, and metrics
                                          • 3. Identify and diagnose performance issues
                                            - Optimize resource consumption
                                            • 1. Adjust compute, storage, and tier settings
                                              • 2. Manage costs and licensing
                                                • 3. Implement auto-scaling and elasticity
                                                  - Automate maintenance and operations
                                                  • 1. Automate tasks using jobs, scripts, or Logic Apps
                                                    • 2. Manage database lifecycle operations
                                                      • 3. Schedule and perform updates and patches
                                                        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
                                                              - Design HA/DR strategy
                                                              • 1. Define RPO and RTO requirements
                                                                • 2. Choose between built-in and custom solutions
                                                                  • 3. Evaluate hybrid and cross-region options
                                                                    - 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
                                                                          Optimize query performance15–20%- Manage workload performance
                                                                          • 1. Troubleshoot slow-running queries
                                                                            • 2. Control resource usage and concurrency
                                                                              • 3. Implement partitioning and compression
                                                                                - Improve query performance
                                                                                • 1. Create and modify indexes
                                                                                  • 2. Use query store and performance tuning tools
                                                                                    • 3. Optimize T-SQL code and constructs
                                                                                      - Analyze query execution plans
                                                                                      • 1. Interpret execution plans and statistics
                                                                                        • 2. Evaluate index usage and design
                                                                                          • 3. Identify bottlenecks and inefficiencies

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