Exam Code: DP-300
Exam Name: Administering Relational Databases on Microsoft Azure (DP-300 Korean Version)
Certification Provider: Microsoft
Corresponding Certification: Microsoft Azure
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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.

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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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Microsoft DP-300 Korean Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Plan and configure high availability and disaster recovery20–25%- Implement backup and restore
  • 1. Manage backup storage and costs
    • 2. Configure automated backups and retention
      • 3. Perform point-in-time and long-term retention restores
        - 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. Configure Always On availability groups
                • 2. Implement failover groups and auto-failover
                  • 3. Test and monitor HA/DR operations
                    Topic 2: 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. Implement auto-scaling and elasticity
                            • 2. Adjust compute, storage, and tier settings
                              • 3. Manage costs and licensing
                                - Automate maintenance and operations
                                • 1. Manage database lifecycle operations
                                  • 2. Automate tasks using jobs, scripts, or Logic Apps
                                    • 3. Schedule and perform updates and patches
                                      Topic 3: Plan and implement data platform resources15–20%- Plan deployment of database offerings
                                      • 1. Evaluate deployment options for Azure SQL services
                                        • 2. Identify use cases for hybrid and multi-cloud solutions
                                          • 3. Plan for scalability and performance requirements
                                            - Implement migration strategies
                                            • 1. Migrate between Azure services or from on-premises
                                              • 2. Evaluate migration requirements and strategies
                                                • 3. Perform offline and online migrations
                                                  - Deploy database resources
                                                  • 1. Configure resources for scale and performance
                                                    • 2. Deploy Azure SQL Database, Managed Instance, and SQL Server on Azure VMs
                                                      • 3. Automate deployment using templates, PowerShell, or CLI
                                                        Topic 4: Implement a secure environment20–25%- 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. Apply least privilege principle
                                                                • 2. Manage database users, roles, and permissions
                                                                  • 3. Implement Microsoft Entra ID authentication
                                                                    - 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
                                                                          Topic 5: Optimize query performance15–20%- Manage workload performance
                                                                          • 1. Implement partitioning and compression
                                                                            • 2. Troubleshoot slow-running queries
                                                                              • 3. Control resource usage and concurrency
                                                                                - Improve query performance
                                                                                • 1. Optimize T-SQL code and constructs
                                                                                  • 2. Use query store and performance tuning tools
                                                                                    • 3. Create and modify indexes
                                                                                      - Analyze query execution plans
                                                                                      • 1. Identify bottlenecks and inefficiencies
                                                                                        • 2. Evaluate index usage and design
                                                                                          • 3. Interpret execution plans and statistics

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