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

DP-300 Deutsch Exam Simulator
  • Exam Code: DP-300-Deutsch
  • Exam Name: Administering Relational Databases on Microsoft Azure (DP-300 Deutsch Version)
  • Updated: Jul 21, 2026
  • Q & A: 503 Questions and Answers

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About Microsoft DP-300 Deutsch Exam Braindumps

Job Opportunities

Passing DP-300 exam and acquiring the associate-level certificate allows one to get hired in the following job positions:

  • Azure Database Administrator
  • System Administrator
  • System Engineer

According to the research done by PayScale.com, the average annual basic salary a database administrator can earn is estimated to be $74k per year on average.

Exam DP-300 focuses on administering relational databases on Microsoft Azure. It is designed for database administrators and data management specialists who are involved in handling cloud relational databases and on-premises ones developed on Microsoft Azure Data and Microsoft SQL Server services.

Monitoring and Optimizing Operational Resources

  • Implementation of maintenance tasks that are performance-related
    • Implementing index maintenance and statistics maintenance tasks
    • Database auto-tuning configuration
    • Storage capacity management
    • Performing automation for database maintenance tasks
  • Monitoring performance and activity
    • Preparation of a working performance baseline
    • Determining performance metrics' sources
    • Interpretation of performance metrics
    • Assessing database performance using Intelligent Insights for Managed Instances and Azure SQL Database
    • Monitoring and configuring performance and activity at the server, infrastructure, service and database levels
  • Identifying performance-related issues
    • Configuration of Query Store
    • Identifying sessions that can lead to blocking
    • Assessing fragmentation of logs and databases
    • Assessing configuration parameters related to database performance
  • Resource configuration for optimal performance
    • Infrastructure and storage resources
    • Server and service account settings
    • Configuration of Resource Governance for performance
  • Configuring a user database
    • Implementation of database-scoped configuration
    • Configuring compute resources
    • Intelligent Query Processing (IQP) configuration

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Get information about the Microsoft DP-300 Exam Scheme

  • Language: English
  • Passing score: 70%
  • Length of Examination: 90 minutes
  • Format: Multiple choices, multiple answers
  • Number of Questions: 56

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

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Microsoft DP-300 Deutsch Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Plan and configure high availability and disaster recovery20–25%- 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
        - Configure high availability solutions
        • 1. Configure Always On availability groups
          • 2. Test and monitor HA/DR operations
            • 3. Implement failover groups and auto-failover
              - 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
                    Topic 2: Plan and implement data platform resources15–20%- 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. Deploy Azure SQL Database, Managed Instance, and SQL Server on Azure VMs
                            • 2. Automate deployment using templates, PowerShell, or CLI
                              • 3. Configure resources for scale and performance
                                - 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
                                      Topic 3: Optimize query performance15–20%- Manage workload performance
                                      • 1. Implement partitioning and compression
                                        • 2. Troubleshoot slow-running queries
                                          • 3. Control resource usage and concurrency
                                            - Analyze query execution plans
                                            • 1. Identify bottlenecks and inefficiencies
                                              • 2. Evaluate index usage and design
                                                • 3. Interpret execution plans and statistics
                                                  - Improve query performance
                                                  • 1. Create and modify indexes
                                                    • 2. Optimize T-SQL code and constructs
                                                      • 3. Use query store and performance tuning tools
                                                        Topic 4: 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
                                                              - Optimize resource consumption
                                                              • 1. Adjust compute, storage, and tier settings
                                                                • 2. Implement auto-scaling and elasticity
                                                                  • 3. Manage costs and licensing
                                                                    - Automate maintenance and operations
                                                                    • 1. Manage database lifecycle operations
                                                                      • 2. Schedule and perform updates and patches
                                                                        • 3. Automate tasks using jobs, scripts, or Logic Apps
                                                                          Topic 5: Implement a secure environment20–25%- Configure authentication and authorization
                                                                          • 1. Implement Microsoft Entra ID authentication
                                                                            • 2. Apply least privilege principle
                                                                              • 3. Manage database users, roles, and permissions
                                                                                - Secure data at rest and in transit
                                                                                • 1. Configure encryption for connections and data transfer
                                                                                  • 2. Manage keys and certificates
                                                                                    • 3. Implement Transparent Data Encryption
                                                                                      - Implement compliance and security controls
                                                                                      • 1. Configure auditing and logging
                                                                                        • 2. Assess and remediate vulnerabilities
                                                                                          • 3. Implement data masking and classification

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