• Exam Code: DP-300
  • Exam Name: Administering Relational Databases on Microsoft Azure (DP-300 Deutsch Version)
  • Certification Provider: Microsoft
  • Corresponding Certification:Microsoft Azure
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DP-300 Deutsch
  • Exam Code: DP-300
  • Exam Name: Administering Relational Databases on Microsoft Azure (DP-300 Deutsch Version)
  • Updated: Sep 13, 2026
  • No. of Questions: 503 Questions and Answers
  • Download Limit: Unlimited

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

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

Get information about the topics of Microsoft DP-300 Exam

Candidates must know the exam topics before they start of preparation. Because it will really help them in hitting the core. Our Microsoft DP-300 exam dumps will include the following topics:

  • Implement a secure environment (15-20%)
  • Plan and implement a High Availability and Disaster Recovery (HADR) environment (15-20%)
  • Optimize query performance (5-10%)
  • Monitor and optimize operational resources (15-20%)
  • Perform administration by using T-SQL (10-15%)
  • Perform automation of tasks (10-15%)
  • Plan and implement data platform resources (15-20%)

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Prerequisites

The DP-300 certification exam has no official prerequisite. However, the candidates for the test should have the skills and knowledge in the areas of management, security, optimization, security, and monitoring up-to-date solutions for a relational database. Although any professional can take this exam, it is generally intended for database administrators. These experts work with the Azure data engineers in managing the operational components of data platform solutions. It is recommended that the applicants understand the concepts that are covered in this test before attempting it.

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

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Planning and Implementing a High Availability and Disaster Recovery (HADR) Setup

  • Recommending an HADR strategy
    • Recommending the appropriate HADR strategy on the basis of RTO/RPO needs
    • Evaluating HADR for hybrid deployments
    • Evaluating Azure specifics for HADR solutions
    • Defining resources for HADR
  • Performing backup and restoration of data using database tools
    • Performing database backup with options
    • Performing database restoration with options and to specific points in time
    • Configuring long-term solutions for backup retention
  • Testing and configuring HADR
    • The use of failover to test DR and HA
    • Utilizing database, OS, and platform tools to perform the configuration of replication
    • Designing an Availability Group and integrating databases into it
    • The configuration of AG listener as well as quorum options

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Microsoft DP-300 Deutsch Exam Syllabus Topics:

SectionWeightObjectives
Optimize query performance15–20%- Improve query performance
  • 1. Create and modify indexes
    • 2. Use query store and performance tuning tools
      • 3. Optimize T-SQL code and constructs
        - Manage workload performance
        • 1. Implement partitioning and compression
          • 2. Troubleshoot slow-running queries
            • 3. Control resource usage and concurrency
              - Analyze query execution plans
              • 1. Interpret execution plans and statistics
                • 2. Evaluate index usage and design
                  • 3. Identify bottlenecks and inefficiencies
                    Implement a secure environment20–25%- Configure authentication and authorization
                    • 1. Apply least privilege principle
                      • 2. Implement Microsoft Entra ID authentication
                        • 3. Manage database users, roles, and permissions
                          - 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. Implement data masking and classification
                                  • 2. Configure auditing and logging
                                    • 3. Assess and remediate vulnerabilities
                                      Plan and configure high availability and disaster recovery20–25%- Configure high availability solutions
                                      • 1. Test and monitor HA/DR operations
                                        • 2. Implement failover groups and auto-failover
                                          • 3. Configure Always On availability groups
                                            - 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
                                                  - 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
                                                        Plan and implement data platform resources15–20%- 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. Automate deployment using templates, PowerShell, or CLI
                                                                • 2. Deploy Azure SQL Database, Managed Instance, and SQL Server on Azure VMs
                                                                  • 3. Configure resources for scale and performance
                                                                    - Implement migration strategies
                                                                    • 1. Evaluate migration requirements and strategies
                                                                      • 2. Migrate between Azure services or from on-premises
                                                                        • 3. Perform offline and online migrations
                                                                          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. Manage database lifecycle operations
                                                                                    • 3. Schedule and perform updates and patches
                                                                                      - Optimize resource consumption
                                                                                      • 1. Adjust compute, storage, and tier settings
                                                                                        • 2. Implement auto-scaling and elasticity
                                                                                          • 3. Manage costs and licensing

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