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


"Administering Relational Databases on Microsoft Azure (DP-300日本語版)", also known as DP-300 exam, is a Microsoft Certification. With the complete collection of questions and answers, PrepAwayTest has assembled to take you through 503 Q&As to your DP-300 Exam preparation. In the DP-300 exam resources, you will cover every field and category in Microsoft Azure Certification helping to ready you for your successful Microsoft Certification.

  • Exam Code: DP-300
  • Exam Name: Administering Relational Databases on Microsoft Azure (DP-300日本語版)
  • Total Questions: 503

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The DP-300 exam consists of various types of questions, including multiple-choice, drag and drop, and scenario-based questions. Candidates are required to demonstrate their ability to apply their knowledge to real-world scenarios and provide solutions that meet the requirements of the organization. DP-300J exam is approximately 150 minutes long, and candidates must achieve a passing score of 700 out of 1000 to earn the certification.

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

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The DP-300 certification exam covers a wide range of topics such as designing and implementing database solutions on Azure, managing and monitoring databases, implementing security and high availability, and optimizing database performance. DP-300J exam also focuses on advanced topics such as Azure SQL Database Managed Instance, Azure SQL Data Warehouse, and Azure Cosmos DB.

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Microsoft DP-300日本語 Exam Syllabus Topics:

SectionWeightObjectives
Implement a secure environment20–25%- Configure authentication and authorization
  • 1. Manage database users, roles, and permissions
    • 2. Apply least privilege principle
      • 3. Implement Microsoft Entra ID authentication
        - Implement compliance and security controls
        • 1. Configure auditing and logging
          • 2. Assess and remediate vulnerabilities
            • 3. Implement data masking and classification
              - Secure data at rest and in transit
              • 1. Manage keys and certificates
                • 2. Configure encryption for connections and data transfer
                  • 3. Implement Transparent Data Encryption
                    Monitor and optimize operational resources15–20%- 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
                          - Monitor database performance and health
                          • 1. Identify and diagnose performance issues
                            • 2. Use Azure Monitor, SQL Insights, and metrics
                              • 3. Set up alerts and notifications
                                - Optimize resource consumption
                                • 1. Manage costs and licensing
                                  • 2. Implement auto-scaling and elasticity
                                    • 3. Adjust compute, storage, and tier settings
                                      Plan and implement data platform resources15–20%- Deploy database resources
                                      • 1. Deploy Azure SQL Database, Managed Instance, and SQL Server on Azure VMs
                                        • 2. Configure resources for scale and performance
                                          • 3. Automate deployment using templates, PowerShell, or CLI
                                            - Plan deployment of database offerings
                                            • 1. Identify use cases for hybrid and multi-cloud solutions
                                              • 2. Plan for scalability and performance requirements
                                                • 3. Evaluate deployment options for Azure SQL services
                                                  - Implement migration strategies
                                                  • 1. Migrate between Azure services or from on-premises
                                                    • 2. Perform offline and online migrations
                                                      • 3. Evaluate migration requirements and strategies
                                                        Plan and configure high availability and disaster recovery20–25%- Implement backup and restore
                                                        • 1. Configure automated backups and retention
                                                          • 2. Perform point-in-time and long-term retention restores
                                                            • 3. Manage backup storage and costs
                                                              - 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. Evaluate hybrid and cross-region options
                                                                      • 2. Define RPO and RTO requirements
                                                                        • 3. Choose between built-in and custom solutions
                                                                          Optimize query performance15–20%- Manage workload performance
                                                                          • 1. Troubleshoot slow-running queries
                                                                            • 2. Implement partitioning and compression
                                                                              • 3. Control resource usage and concurrency
                                                                                - Improve query performance
                                                                                • 1. Create and modify indexes
                                                                                  • 2. Optimize T-SQL code and constructs
                                                                                    • 3. Use query store and performance tuning tools
                                                                                      - 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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