Microsoft Administering Relational Databases on Microsoft Azure (DP-300 Deutsch Version) : DP-300 Deutsch

  • Exam Code: DP-300 Deutsch
  • Exam Name: Administering Relational Databases on Microsoft Azure (DP-300 Deutsch Version)
  • Updated: Oct 04, 2026     Q & A: 434 Questions and Answers

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About Pass4guide Microsoft Administering Relational Databases on Microsoft Azure (DP-300 Deutsch Version) : DP-300 Deutsch Exam

Microsoft DP-300: Great Career Prospects

The positions that the professionals holding the Microsoft Certified: Azure Database Administrator Associate certification can explore include a SQL Database Administrator, a Data Engineer, a Systems Administrator, a Database Administrator, a Data Analyst, an Azure Data Engineer, and a Data Scientist. The salary outlook for these job titles is an average of $84,000 per annum.

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

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  • The price of the Microsoft DP-300 Exam is $165 USD.

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Microsoft DP-300 Deutsch Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: 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
        - 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
              - Implement migration strategies
              • 1. Migrate between Azure services or from on-premises
                • 2. Evaluate migration requirements and strategies
                  • 3. Perform offline and online migrations
                    Topic 2: Monitor and optimize operational resources15–20%- 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. Use Azure Monitor, SQL Insights, and metrics
                            • 2. Set up alerts and notifications
                              • 3. Identify and diagnose performance issues
                                - Automate maintenance and operations
                                • 1. Automate tasks using jobs, scripts, or Logic Apps
                                  • 2. Manage database lifecycle operations
                                    • 3. Schedule and perform updates and patches
                                      Topic 3: Implement a secure environment20–25%- 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
                                            - Implement compliance and security controls
                                            • 1. Implement data masking and classification
                                              • 2. Configure auditing and logging
                                                • 3. Assess and remediate vulnerabilities
                                                  - Configure authentication and authorization
                                                  • 1. Implement Microsoft Entra ID authentication
                                                    • 2. Manage database users, roles, and permissions
                                                      • 3. Apply least privilege principle
                                                        Topic 4: 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. Identify bottlenecks and inefficiencies
                                                                      • 2. Evaluate index usage and design
                                                                        • 3. Interpret execution plans and statistics
                                                                          Topic 5: 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
                                                                                - 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
                                                                                      - Configure high availability solutions
                                                                                      • 1. Implement failover groups and auto-failover
                                                                                        • 2. Configure Always On availability groups
                                                                                          • 3. Test and monitor HA/DR operations

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