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

DP-300日本語

Exam Code: DP-300J

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

Updated: Sep 06, 2026

Q & A: 503 Questions and Answers

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  • Professional Administration of Azure SQL Database

    Penned-down by Ahmad Osama, this manual explains viable ways to explore and administer the Azure SQL Server database. It includes result-driven 40-practical activities to reinforce the learning for the upcoming DP-300 test. So, if you want to excel in the official testing, such a book is good to go.

  • Inside Out: SQL Server Administration 2017

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

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Further Certification Path

The Microsoft Certified: Azure Database Administrator Associate certification gives you a chance to jumpstart your career by taking expert-level certificates. The options available on the Azure track include Microsoft Certified: Azure Data Engineer Associate, Microsoft Certified: Azure Solutions Architect Expert, and others.

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Microsoft DP-300日本語 Exam Syllabus Topics:

SectionWeightObjectives
Monitor and optimize operational resources15–20%- Optimize resource consumption
  • 1. Implement auto-scaling and elasticity
    • 2. Manage costs and licensing
      • 3. Adjust compute, storage, and tier settings
        - 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
              - 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
                    Plan and configure high availability and disaster recovery20–25%- 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
                          - Design HA/DR strategy
                          • 1. Evaluate hybrid and cross-region options
                            • 2. Choose between built-in and custom solutions
                              • 3. Define RPO and RTO requirements
                                - 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 a secure environment20–25%- 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
                                                  - Secure data at rest and in transit
                                                  • 1. Manage keys and certificates
                                                    • 2. Implement Transparent Data Encryption
                                                      • 3. Configure encryption for connections and data transfer
                                                        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. Identify use cases for hybrid and multi-cloud solutions
                                                                • 2. Evaluate deployment options for Azure SQL services
                                                                  • 3. Plan for scalability and performance requirements
                                                                    - Implement migration strategies
                                                                    • 1. Perform offline and online migrations
                                                                      • 2. Migrate between Azure services or from on-premises
                                                                        • 3. Evaluate migration requirements and strategies
                                                                          Optimize query performance15–20%- Manage workload performance
                                                                          • 1. Implement partitioning and compression
                                                                            • 2. Control resource usage and concurrency
                                                                              • 3. Troubleshoot slow-running queries
                                                                                - Improve query performance
                                                                                • 1. Optimize T-SQL code and constructs
                                                                                  • 2. Create and modify indexes
                                                                                    • 3. Use query store and performance tuning tools
                                                                                      - Analyze query execution plans
                                                                                      • 1. Interpret execution plans and statistics
                                                                                        • 2. Identify bottlenecks and inefficiencies
                                                                                          • 3. Evaluate index usage and design

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