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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:

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

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Performing Tasks Automation

  • Managing and automating tasks in Azure
    • Performing automated methods of deployment for resources
    • Automatic backups
    • Implementing policies using modes that are automated
    • Automating performance patching and tuning
  • Creating scheduled tasks
    • Management of schedules for frequent maintenance roles
    • Configuration of multi-server automation
    • Configuring task notifications
  • Evaluation and implementation of notification and alert strategy
    • Creating event notification on the basis of metrics as well as those for Azure resources
    • Designing tasks for response to the event notifications
    • Making alerts for configuration changes

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
Plan and implement data platform resources15–20%- Implement migration strategies
  • 1. Evaluate migration requirements and strategies
    • 2. Migrate between Azure services or from on-premises
      • 3. Perform offline and online migrations
        - 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. Plan for scalability and performance requirements
                • 2. Identify use cases for hybrid and multi-cloud solutions
                  • 3. Evaluate deployment options for Azure SQL services
                    Optimize query performance15–20%- Improve query performance
                    • 1. Optimize T-SQL code and constructs
                      • 2. Create and modify indexes
                        • 3. Use query store and performance tuning tools
                          - Manage workload performance
                          • 1. Troubleshoot slow-running queries
                            • 2. Control resource usage and concurrency
                              • 3. Implement partitioning and compression
                                - Analyze query execution plans
                                • 1. Interpret execution plans and statistics
                                  • 2. Evaluate index usage and design
                                    • 3. Identify bottlenecks and inefficiencies
                                      Plan and configure high availability and disaster recovery20–25%- Configure high availability solutions
                                      • 1. Implement failover groups and auto-failover
                                        • 2. Test and monitor HA/DR operations
                                          • 3. Configure Always On availability groups
                                            - 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
                                                        Monitor and optimize operational resources15–20%- 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
                                                              - Optimize resource consumption
                                                              • 1. Implement auto-scaling and elasticity
                                                                • 2. Adjust compute, storage, and tier settings
                                                                  • 3. Manage costs and licensing
                                                                    - 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
                                                                          Implement a secure environment20–25%- Configure authentication and authorization
                                                                          • 1. Manage database users, roles, and permissions
                                                                            • 2. Apply least privilege principle
                                                                              • 3. Implement Microsoft Entra ID authentication
                                                                                - Secure data at rest and in transit
                                                                                • 1. Manage keys and certificates
                                                                                  • 2. Implement Transparent Data Encryption
                                                                                    • 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

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