DP-300 Deutsch exam dumps

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  • Exam Code: DP-300 Deutsch
  • Exam Name: Administering Relational Databases on Microsoft Azure (DP-300 Deutsch Version)
  • No. of Questions: 503 Questions and Answers
  • Updated: Jul 21, 2026

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Microsoft DP-300 (Administering Relational Databases on Microsoft Azure) certification exam is a popular certification among IT professionals who work with Microsoft Azure. Administering Relational Databases on Microsoft Azure (DP-300 Deutsch Version) certification exam is designed for database administrators who have experience in managing and administering databases on Microsoft Azure. DP-300-Deutsch exam measures the candidate's knowledge of managing and administering databases on Azure, including provisioning, deployment, and maintenance.

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

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Microsoft DP-300 exam is designed for database administrators who are responsible for administering and managing relational databases on Microsoft Azure. DP-300-Deutsch exam is one of the most sought-after certifications in the database administration field and is a great way to demonstrate your knowledge and expertise in working with Microsoft Azure-based databases.

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Microsoft DP-300 Deutsch Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: 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
        - 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
              - 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
                    Topic 2: Implement a secure environment20–25%- Configure authentication and authorization
                    • 1. Apply least privilege principle
                      • 2. Manage database users, roles, and permissions
                        • 3. Implement Microsoft Entra ID authentication
                          - 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. Assess and remediate vulnerabilities
                                  • 2. Implement data masking and classification
                                    • 3. Configure auditing and logging
                                      Topic 3: Monitor and optimize operational resources15–20%- 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
                                            - Optimize resource consumption
                                            • 1. Manage costs and licensing
                                              • 2. Implement auto-scaling and elasticity
                                                • 3. Adjust compute, storage, and tier settings
                                                  - Monitor database performance and health
                                                  • 1. Identify and diagnose performance issues
                                                    • 2. Set up alerts and notifications
                                                      • 3. Use Azure Monitor, SQL Insights, and metrics
                                                        Topic 4: Plan and configure high availability and disaster recovery20–25%- 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. Perform point-in-time and long-term retention restores
                                                                • 2. Manage backup storage and costs
                                                                  • 3. Configure automated backups and retention
                                                                    - Configure high availability solutions
                                                                    • 1. Configure Always On availability groups
                                                                      • 2. Implement failover groups and auto-failover
                                                                        • 3. Test and monitor HA/DR operations
                                                                          Topic 5: Optimize query performance15–20%- Analyze query execution plans
                                                                          • 1. Identify bottlenecks and inefficiencies
                                                                            • 2. Evaluate index usage and design
                                                                              • 3. Interpret execution plans and statistics
                                                                                - Manage workload performance
                                                                                • 1. Troubleshoot slow-running queries
                                                                                  • 2. Control resource usage and concurrency
                                                                                    • 3. Implement partitioning and compression
                                                                                      - Improve query performance
                                                                                      • 1. Use query store and performance tuning tools
                                                                                        • 2. Optimize T-SQL code and constructs
                                                                                          • 3. Create and modify indexes

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