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Administration tasks with the use of T-SQL

  • Management of authorization and authentication
    • Handling security principals and certificates
    • The configuration of permissions
  • Using T-SQL for restoration and backups
    • Performing database backups and transaction log backups
    • Restoring user databases
    • Always On Availability Groups and preparing databases for them
  • Monitoring of database configuration
    • The configuration of database autogrowth
    • Reviewing options for database configuration
    • Database free space reports
  • System health assessment
    • Utilizing DBCC for database consistency checks
    • The use of DMVs for examining health of servers and databases

Query Performance Optimization

  • 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
  • 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

Advanced operation system

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Monitoring and Optimizing Operational Resources

  • Identifying performance-related issues
    • Configuration of Query Store
    • Identifying sessions that can lead to blocking
    • Assessing fragmentation of logs and databases
    • Assessing configuration parameters related to database performance
  • Resource configuration for optimal performance
    • Infrastructure and storage resources
    • Server and service account settings
    • Configuration of Resource Governance for performance
  • Monitoring performance and activity
    • Preparation of a working performance baseline
    • Determining performance metrics' sources
    • Interpretation of performance metrics
    • Assessing database performance using Intelligent Insights for Managed Instances and Azure SQL Database
    • Monitoring and configuring performance and activity at the server, infrastructure, service and database levels
  • Implementation of maintenance tasks that are performance-related
    • Implementing index maintenance and statistics maintenance tasks
    • Database auto-tuning configuration
    • Storage capacity management
    • Performing automation for database maintenance tasks
  • Configuring a user database
    • Implementation of database-scoped configuration
    • Configuring compute resources
    • Intelligent Query Processing (IQP) configuration

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 implement data platform resources15–20%- 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
        - 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
              - Implement migration strategies
              • 1. Perform offline and online migrations
                • 2. Migrate between Azure services or from on-premises
                  • 3. Evaluate migration requirements and strategies
                    Plan and configure high availability and disaster recovery20–25%- 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. Choose between built-in and custom solutions
                              • 3. Evaluate hybrid and cross-region options
                                - 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
                                      Monitor and optimize operational resources15–20%- Optimize resource consumption
                                      • 1. Adjust compute, storage, and tier settings
                                        • 2. Manage costs and licensing
                                          • 3. Implement auto-scaling and elasticity
                                            - 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. Manage database lifecycle operations
                                                    • 2. Schedule and perform updates and patches
                                                      • 3. Automate tasks using jobs, scripts, or Logic Apps
                                                        Optimize query performance15–20%- Analyze query execution plans
                                                        • 1. Identify bottlenecks and inefficiencies
                                                          • 2. Evaluate index usage and design
                                                            • 3. Interpret execution plans and statistics
                                                              - Manage workload performance
                                                              • 1. Troubleshoot slow-running queries
                                                                • 2. Control resource usage and concurrency
                                                                  • 3. Implement partitioning and compression
                                                                    - Improve query performance
                                                                    • 1. Use query store and performance tuning tools
                                                                      • 2. Create and modify indexes
                                                                        • 3. Optimize T-SQL code and constructs
                                                                          Implement a secure environment20–25%- Configure authentication and authorization
                                                                          • 1. Manage database users, roles, and permissions
                                                                            • 2. Implement Microsoft Entra ID authentication
                                                                              • 3. Apply least privilege principle
                                                                                - Implement compliance and security controls
                                                                                • 1. Implement data masking and classification
                                                                                  • 2. Configure auditing and logging
                                                                                    • 3. Assess and remediate vulnerabilities
                                                                                      - 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

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