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

DP-300日本語 testking pdf

Exam Code: DP-300J

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

Updated: Sep 29, 2026

Q & A: 434 Questions and Answers

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About Microsoft DP-300日本語 Exam

Use T-SQL to Perform Administration: 10-15%

  • Use T-SQL to Fulfill Backup & Restore: This area covers your skills in performing transaction log backup, database backups with alternatives, as well as restores of user databases.
  • Evaluate System Health: The applicants should be able to use DMVs to examine database health and server health.
  • Use T-SQL to Manage Authentication & Authorization: This domain focuses on one’s skills in managing certifications and security principles, as well as configuring permissions with custom roles.
  • Use T-SQL to Observe Database Configuration: This section requires the learners’ expertise in evaluating the appropriate database auto-growth configuration and reviewing options of database configuration.

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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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Secure Environment Implementation: 15-20%

  • Implement Compliance Controls for Sensitive Data: This subject area will measure your competence in applying data classification strategies, configuring database & server audits, performing vulnerability assessments, and implementing data change tracking.
  • Use Database Tools and Platform to Customize Database Authentication: This topic requires that the candidates demonstrate the ability to construct the users using Azure Active Directory identities as well as customize Azure Active Directory authentication and security principles.
  • Use Database Tools and Platform to Customize Database Authorization: The examinees need to demonstrate the ability to apply the principles of the least privilege of available securable and configure object-level permissions and database with the use of graphical tools.
  • Apply Data at Rest Security: This domain covers one’s skills in implementing Dynamic Data Masking, object-level encryption, Transparent Data Encryption, and disk encryption for the Azure Virtual Machines & Azure Key Vault.

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. Implement Transparent Data Encryption
    • 2. Manage keys and certificates
      • 3. Configure encryption for connections and data transfer
        - Configure authentication and authorization
        • 1. Apply least privilege principle
          • 2. Implement Microsoft Entra ID authentication
            • 3. Manage database users, roles, and permissions
              - Implement compliance and security controls
              • 1. Implement data masking and classification
                • 2. Assess and remediate vulnerabilities
                  • 3. Configure auditing and logging
                    Plan and implement data platform resources15–20%- Plan deployment of database offerings
                    • 1. Plan for scalability and performance requirements
                      • 2. Evaluate deployment options for Azure SQL services
                        • 3. Identify use cases for hybrid and multi-cloud solutions
                          - Implement migration strategies
                          • 1. Evaluate migration requirements and strategies
                            • 2. Perform offline and online migrations
                              • 3. Migrate between Azure services or from on-premises
                                - Deploy database resources
                                • 1. Configure resources for scale and performance
                                  • 2. Deploy Azure SQL Database, Managed Instance, and SQL Server on Azure VMs
                                    • 3. Automate deployment using templates, PowerShell, or CLI
                                      Plan and configure high availability and disaster recovery20–25%- Configure high availability solutions
                                      • 1. Configure Always On availability groups
                                        • 2. Implement failover groups and auto-failover
                                          • 3. Test and monitor HA/DR operations
                                            - 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
                                                  - Design HA/DR strategy
                                                  • 1. Define RPO and RTO requirements
                                                    • 2. Evaluate hybrid and cross-region options
                                                      • 3. Choose between built-in and custom solutions
                                                        Optimize query performance15–20%- Manage workload performance
                                                        • 1. Troubleshoot slow-running queries
                                                          • 2. Control resource usage and concurrency
                                                            • 3. Implement partitioning and compression
                                                              - Analyze query execution plans
                                                              • 1. Interpret execution plans and statistics
                                                                • 2. Evaluate index usage and design
                                                                  • 3. Identify bottlenecks and inefficiencies
                                                                    - Improve query performance
                                                                    • 1. Use query store and performance tuning tools
                                                                      • 2. Create and modify indexes
                                                                        • 3. Optimize T-SQL code and constructs
                                                                          Monitor and optimize operational resources15–20%- Monitor database performance and health
                                                                          • 1. Use Azure Monitor, SQL Insights, and metrics
                                                                            • 2. Identify and diagnose performance issues
                                                                              • 3. Set up alerts and notifications
                                                                                - 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. Schedule and perform updates and patches
                                                                                        • 2. Manage database lifecycle operations
                                                                                          • 3. Automate tasks using jobs, scripts, or Logic Apps

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