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

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: Sep 08, 2026

Q & A: 503 Questions and Answers

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About Microsoft DP-300日本語 Exam

Exam Topics

The Microsoft DP-300 exam measures the capability of the candidates to complete certain technical tasks, such as querying performance, planning and implementing the High Availability & Disaster Recovery environment, and optimizing & monitoring operational resources. The highlights of these topics are as follows:

  • Operational Resources Optimization and Monitoring: 15-20%

    The test takers need the relevant skills in managing performance and activity, identifying issues related to performance, and implementing maintenance tasks that are related to performance. This section of the exam also requires that they demonstrate their expertise in configuring resources and user databases for optimum performance.

  • Use of T-SQL in Administration Performance: 10-15%

    Within this module, the individuals should be able to evaluate system health and use T-SQL to monitor the configuration of database. It will evaluate their skills in performing backup and database restoration with the use of T-SQL, as well as managing authentication and authorization utilizing T-SQL.

  • Secure Environment Implementation: 15-20%

    This topic will evaluate the capability of the candidates to use database tools and platforms to configure the authentication and authorization of database. It will also measure the skills required to implement the security for data on rest. Additionally, the individuals should develop their expertise in implementing security for data on transit and compliance controls for delicate data.

  • Query Performance Optimization: 5-10%

    This knowledge area of the exam will test the ability of the students to evaluate performance optimization, evaluate query plans, and review index design and database table. This covers their competence in identifying issues with data quality based on duplication of data; evaluating a strategy for table partitioning; evaluating index design for optimal performance.

  • HADR Planning and Implementation: 15-20%

    This domain requires that the candidates have the ability to recommend High Availability & Disaster Recovery (HADR) strategies for data platform solutions. It also covers the skills in testing HADR strategies with the use of database tools, platforms, and operating systems. The subject area will also evaluate one’s expertise in performing the backup and restoration of a database with the use of database tools. It will also measure the ability to configure High Availability & Disaster Recovery with the use of platform, database tools, and OS.

  • Data Platform Resources Planning and Implementation: 15-20%

    The applicants should have the ability to deploy resources with the use of manual methods. They should also be able to recommend the relevant database contributions based on certain prerequisites. The examinees will be measured based on their competence in configuring resources for performance and scale; evaluating strategies for movement to Azure. They also need the knowledge of upgrade or migration strategy implementation to move to Azure.

  • Tasks Automation Performance: 10-15%

    The examinees should have the capacity to develop scheduled tasks, measure and execute notification and alert strategies, and automate and manage tasks within Azure. This part will test their skills in managing schedules for different maintenance jobs, automating backups, and creating alerts for the server configuration changes.

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

Exam DP-300: Administering Relational Databases on Microsoft Azure

Candidates for this exam are database administrators and data management specialists that manage on-premises and cloud relational databases built with Microsoft SQL Server and Microsoft Azure Data Services.

The Azure Database Administrator implements and manages the operational aspects of cloud-native and hybrid data platform solutions built on Azure Data Services and SQL Server. The Azure Database Administrator uses a variety of methods and tools to perform day-to-day operations, including applying knowledge of using T-SQL for administrative management purposes.

This role is responsible for management, availability, security and performance monitoring and optimization of modern relational database solutions. This role works with the Azure Data Engineer role to manage operational aspects of data platform solutions.

Candidates for this role should understand all concepts covered in Exam DP-900: Microsoft Azure Data Fundamentals.

Part of the requirements for: Microsoft Certified: Azure Database Administrator Associate

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Microsoft DP-300日本語 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Plan and configure high availability and disaster recovery20–25%- Configure high availability solutions
  • 1. Test and monitor HA/DR operations
    • 2. Implement failover groups and auto-failover
      • 3. Configure Always On availability groups
        - 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
                    Topic 2: Plan and implement data platform resources15–20%- Deploy database resources
                    • 1. Configure resources for scale and performance
                      • 2. Automate deployment using templates, PowerShell, or CLI
                        • 3. Deploy Azure SQL Database, Managed Instance, and SQL Server on Azure VMs
                          - Implement migration strategies
                          • 1. Perform offline and online migrations
                            • 2. Migrate between Azure services or from on-premises
                              • 3. Evaluate migration requirements and strategies
                                - 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
                                      Topic 3: Implement a secure environment20–25%- Implement compliance and security controls
                                      • 1. Implement data masking and classification
                                        • 2. Assess and remediate vulnerabilities
                                          • 3. Configure auditing and logging
                                            - Configure authentication and authorization
                                            • 1. Implement Microsoft Entra ID authentication
                                              • 2. Apply least privilege principle
                                                • 3. Manage database users, roles, and permissions
                                                  - 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
                                                        Topic 4: Monitor and optimize operational resources15–20%- Automate maintenance and operations
                                                        • 1. Manage database lifecycle operations
                                                          • 2. Automate tasks using jobs, scripts, or Logic Apps
                                                            • 3. Schedule and perform updates and patches
                                                              - 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. Manage costs and licensing
                                                                      • 2. Implement auto-scaling and elasticity
                                                                        • 3. Adjust compute, storage, and tier settings
                                                                          Topic 5: Optimize query performance15–20%- Improve query performance
                                                                          • 1. Use query store and performance tuning tools
                                                                            • 2. Optimize T-SQL code and constructs
                                                                              • 3. Create and modify indexes
                                                                                - 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

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