Exam Code: DP-300
Exam Name: Administering Relational Databases on Microsoft Azure (DP-300日本語版)
Certification Provider: Microsoft
Corresponding Certification: Microsoft Azure
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Query Performance Optimization

  • Reviewing query plans
    • Determining the ideal execution plan
    • Identification of problem sections in execution plans
    • Extraction of query plans from the Query Store
  • Reviewing index design and database table
    • Identifying issues on data quality and data duplication
    • Database tables
    • Assessing index design
    • Validating data types
    • Recommending table and index storage including file groups
    • Evaluation of table partitioning strategy
    • Compression for indexes and tables
  • Evaluation of Performance improvements
    • Determining the ideal Dynamic Management Views (DMVs) to collect information relating query performance
    • Using DMVs to identify performance issues
    • Implementation and identification of index changes for queries
    • Assessing the importance of hints in query performance
    • Defining query construct modifications

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Microsoft Administering Relational Databases on Azure Exam Certification Details:

Duration120 mins
Exam NameMicrosoft Certified - Azure Database Administrator Associate
Exam Price$165 (USD)
Sample QuestionsMicrosoft Administering Relational Databases on Azure Sample Questions
Schedule ExamPearson VUE
Number of Questions40-60
Passing Score700 / 1000
Exam CodeDP-300
Books / TrainingDP-300T00-A: Administering Relational Databases on Microsoft Azure

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

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Microsoft DP-300日本語 Exam Syllabus Topics:

SectionWeightObjectives
Plan and configure high availability and disaster recovery20–25%- Design HA/DR strategy
  • 1. Choose between built-in and custom solutions
    • 2. Evaluate hybrid and cross-region options
      • 3. Define RPO and RTO requirements
        - Configure high availability solutions
        • 1. Implement failover groups and auto-failover
          • 2. Configure Always On availability groups
            • 3. Test and monitor HA/DR operations
              - 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
                    Monitor and optimize operational resources15–20%- 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. Manage costs and licensing
                            • 2. Implement auto-scaling and elasticity
                              • 3. Adjust compute, storage, and tier settings
                                - 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%- Secure data at rest and in transit
                                      • 1. Implement Transparent Data Encryption
                                        • 2. Configure encryption for connections and data transfer
                                          • 3. Manage keys and certificates
                                            - Configure authentication and authorization
                                            • 1. Apply least privilege principle
                                              • 2. Implement Microsoft Entra ID authentication
                                                • 3. Manage database users, roles, and permissions
                                                  - Implement compliance and security controls
                                                  • 1. Configure auditing and logging
                                                    • 2. Implement data masking and classification
                                                      • 3. Assess and remediate vulnerabilities
                                                        Optimize query performance15–20%- Improve query performance
                                                        • 1. Create and modify indexes
                                                          • 2. Optimize T-SQL code and constructs
                                                            • 3. Use query store and performance tuning tools
                                                              - Manage workload performance
                                                              • 1. Implement partitioning and compression
                                                                • 2. Control resource usage and concurrency
                                                                  • 3. Troubleshoot slow-running queries
                                                                    - Analyze query execution plans
                                                                    • 1. Identify bottlenecks and inefficiencies
                                                                      • 2. Interpret execution plans and statistics
                                                                        • 3. Evaluate index usage and design
                                                                          Plan and implement data platform resources15–20%- Deploy database resources
                                                                          • 1. Automate deployment using templates, PowerShell, or CLI
                                                                            • 2. Configure resources for scale and performance
                                                                              • 3. Deploy Azure SQL Database, Managed Instance, and SQL Server on Azure VMs
                                                                                - Plan deployment of database offerings
                                                                                • 1. Identify use cases for hybrid and multi-cloud solutions
                                                                                  • 2. Evaluate deployment options for Azure SQL services
                                                                                    • 3. Plan for scalability and performance requirements
                                                                                      - Implement migration strategies
                                                                                      • 1. Perform offline and online migrations
                                                                                        • 2. Evaluate migration requirements and strategies
                                                                                          • 3. Migrate between Azure services or from on-premises

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