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Microsoft DP-300 Practice Test Questions, Microsoft DP-300 Exam Practice Test Questions

The Microsoft DP-300: Administering Relational Databases on Microsoft Azure exam is intended for the data management specialists and database administrators who want to validate their professional expertise. This test is a prerequisite option for the Microsoft Certified: Azure Database Administrator Associate certification.

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

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Skills measured

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

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The DP-300 exam is the latest addition to the Azure certification course. Exam DP-300 are Building Relational Databases on Microsoft Azure (Beta). Database administration has become one of the essential requirements for companies around the world. Businesses create large volumes of information every second and need organized structures to manage the data. Therefore, candidates for the role of database administrators or data source management specialists are looking for credible certifications.Of the many noteworthy scores for database administration, the DP-300 exam is the most effective alternative. If you are looking for reliable assistance to continue your work as a database administrator in Microsoft Azure Cloud, the DP-300 certification exam is the right choice for you.

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Microsoft DP-300 Deutsch Exam Syllabus Topics:

SectionWeightObjectives
Plan and implement data platform resources15–20%- 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. Migrate between Azure services or from on-premises
          • 2. Evaluate migration requirements and strategies
            • 3. Perform offline and online migrations
              - Plan deployment of database offerings
              • 1. Plan for scalability and performance requirements
                • 2. Evaluate deployment options for Azure SQL services
                  • 3. Identify use cases for hybrid and multi-cloud solutions
                    Implement a secure environment20–25%- Configure authentication and authorization
                    • 1. Implement Microsoft Entra ID authentication
                      • 2. Manage database users, roles, and permissions
                        • 3. Apply least privilege principle
                          - Secure data at rest and in transit
                          • 1. Configure encryption for connections and data transfer
                            • 2. Implement Transparent Data Encryption
                              • 3. Manage keys and certificates
                                - Implement compliance and security controls
                                • 1. Configure auditing and logging
                                  • 2. Implement data masking and classification
                                    • 3. Assess and remediate vulnerabilities
                                      Monitor and optimize operational resources15–20%- 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
                                            - Optimize resource consumption
                                            • 1. Implement auto-scaling and elasticity
                                              • 2. Adjust compute, storage, and tier settings
                                                • 3. Manage costs and licensing
                                                  - 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
                                                        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. Implement failover groups and auto-failover
                                                                • 2. Configure Always On availability groups
                                                                  • 3. Test and monitor HA/DR operations
                                                                    - Design HA/DR strategy
                                                                    • 1. Define RPO and RTO requirements
                                                                      • 2. Evaluate hybrid and cross-region options
                                                                        • 3. Choose between built-in and custom solutions
                                                                          Optimize query performance15–20%- Analyze query execution plans
                                                                          • 1. Interpret execution plans and statistics
                                                                            • 2. Identify bottlenecks and inefficiencies
                                                                              • 3. Evaluate index usage and design
                                                                                - Manage workload performance
                                                                                • 1. Implement partitioning and compression
                                                                                  • 2. Control resource usage and concurrency
                                                                                    • 3. Troubleshoot slow-running queries
                                                                                      - Improve query performance
                                                                                      • 1. Create and modify indexes
                                                                                        • 2. Optimize T-SQL code and constructs
                                                                                          • 3. Use query store and performance tuning tools

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