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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: Aug 13, 2026

Q & A: 503 Questions and Answers

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About Microsoft DP-300日本語 Exam

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Exam Pattern

The Microsoft DP-300 exam is designed to be done within 2 hours. During this time limit, candidates should answer 40-60 questions. The format of the questions includes multiple-choice, build list, drag and drop, etc. In addition, every applicant should pay a fee of $165.

Microsoft DP-300: Important Notes

The target candidates for this certification exam are the individuals performing the job roles of a Data Management Specialist and a Database Administrator. These professionals have the responsibility for the availability, performance & security monitoring, as well as optimization of current relational database solutions. They work closely with the Azure Data Engineers to manage different aspects of operations for data platform solutions.

The applicants for the Microsoft DP-300 exam should be capable of managing and implementing the operational components of hybrid data and Cloud-native platform solutions that are developed on SQL Server and Azure Data Services. They also should have competence in using different tools and techniques to carry out their daily operations, which include using the knowledge of T-SQL for different administrative management functions.

The Microsoft DP-300 test does not require that the students meet any eligibility requirements. However, they should have a deep understanding of the concepts that are covered in the exam content.

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

Microsoft DP-300: Key Details and Main Topics

The DP-300 exam is the only required test to obtain the Microsoft Certified: Azure Database Administrator Associate certification. The candidates for the exam must pay the fee of $165 before scheduling their appointment. Depending on their preferred language, they can choose to take this test in English, Korean, Japanese, and Simplified Chinese. This exam contains about 40-60 questions delivered in different formats, including drag and drop, build list, case studies, active screen, and multiple choice. You can find the samples of these question types on the official website. The allocated time ranges from 120 to 150 minutes.

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Get information about the salary of Administering Relational Databases on Microsoft Azure Professional

  • India: 7281940 INR
  • United States: 97,281 USD
  • Europe: 82146 Euro
  • England: 74336 Pound

Microsoft DP-300日本語 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: 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
        - 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. Apply least privilege principle
                • 2. Implement Microsoft Entra ID authentication
                  • 3. Manage database users, roles, and permissions
                    Topic 2: 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
                          - Automate maintenance and operations
                          • 1. Automate tasks using jobs, scripts, or Logic Apps
                            • 2. Schedule and perform updates and patches
                              • 3. Manage database lifecycle operations
                                - Optimize resource consumption
                                • 1. Implement auto-scaling and elasticity
                                  • 2. Manage costs and licensing
                                    • 3. Adjust compute, storage, and tier settings
                                      Topic 3: Plan and configure high availability and disaster recovery20–25%- 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. Configure Always On availability groups
                                              • 2. Implement failover groups and auto-failover
                                                • 3. Test and monitor HA/DR operations
                                                  - Implement backup and restore
                                                  • 1. Perform point-in-time and long-term retention restores
                                                    • 2. Configure automated backups and retention
                                                      • 3. Manage backup storage and costs
                                                        Topic 4: Plan and implement data platform resources15–20%- Implement migration strategies
                                                        • 1. Migrate between Azure services or from on-premises
                                                          • 2. Perform offline and online migrations
                                                            • 3. Evaluate migration requirements and strategies
                                                              - 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
                                                                    - Plan deployment of database offerings
                                                                    • 1. Plan for scalability and performance requirements
                                                                      • 2. Identify use cases for hybrid and multi-cloud solutions
                                                                        • 3. Evaluate deployment options for Azure SQL services
                                                                          Topic 5: Optimize query performance15–20%- Analyze query execution plans
                                                                          • 1. Evaluate index usage and design
                                                                            • 2. Identify bottlenecks and inefficiencies
                                                                              • 3. Interpret execution plans and statistics
                                                                                - Manage workload performance
                                                                                • 1. Troubleshoot slow-running queries
                                                                                  • 2. Implement partitioning and compression
                                                                                    • 3. Control resource usage and concurrency
                                                                                      - Improve query performance
                                                                                      • 1. Optimize T-SQL code and constructs
                                                                                        • 2. Use query store and performance tuning tools
                                                                                          • 3. Create and modify indexes

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