Microsoft DP-300日本語 : Administering Relational Databases on Microsoft Azure (DP-300日本語版)

DP-300日本語 real exams

Exam Code: DP-300J

Exam Name: Administering Relational Databases on Microsoft Azure (DP-300日本語版)

Updated: Aug 31, 2026

Q & A: 503 Questions and Answers

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Implementation of a Secure Environment

  • Implementation of compliance controls for confidential data
    • Applying a classification strategy for data
    • Database audits and server configuration
    • Implementation of data change tracking
    • Vulnerability assessment performance
  • Security implementation for data in transit
    • Configuration of database-level firewall and server rules
    • Always Encrypted implementation
  • Using database and platform tools for the configuration of database authorization
    • Utilizing graphical tools for configuring object-level and database permissions
    • Applying principle of least privilege
  • Implementing security for data at rest
    • Implementation of Transparent Data Encryption (TDE)
    • Object-level encryption
    • Dynamic Data Masking
    • Disk encryption and Azure Key Vault implementation for Azure VMs
  • Using database and platform tools for database authentication configuration
    • Configuration of Azure AD authentication
    • Creation of users from Azure AD identities
    • Configuring security principals

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Planning and Implementing a High Availability and Disaster Recovery (HADR) Setup

  • Recommending an HADR strategy
    • Recommending the appropriate HADR strategy on the basis of RTO/RPO needs
    • Evaluating HADR for hybrid deployments
    • Evaluating Azure specifics for HADR solutions
    • Defining resources for HADR
  • Performing backup and restoration of data using database tools
    • Performing database backup with options
    • Performing database restoration with options and to specific points in time
    • Configuring long-term solutions for backup retention
  • Testing and configuring HADR
    • The use of failover to test DR and HA
    • Utilizing database, OS, and platform tools to perform the configuration of replication
    • Designing an Availability Group and integrating databases into it
    • The configuration of AG listener as well as quorum options

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Query Performance Optimization

  • 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
  • Reviewing query plans
    • Determining the ideal execution plan
    • Identification of problem sections in execution plans
    • Extraction of query plans from the Query Store

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

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Monitoring and Optimizing Operational Resources

  • Resource configuration for optimal performance
    • Infrastructure and storage resources
    • Server and service account settings
    • Configuration of Resource Governance for performance
  • 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
  • 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

Microsoft DP-300日本語 Exam Syllabus Topics:

SectionWeightObjectives
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. Troubleshoot slow-running queries
          • 2. Implement partitioning and compression
            • 3. Control resource usage and concurrency
              - Analyze query execution plans
              • 1. Evaluate index usage and design
                • 2. Interpret execution plans and statistics
                  • 3. Identify bottlenecks and inefficiencies
                    Plan and configure high availability and disaster recovery20–25%- Implement backup and restore
                    • 1. Perform point-in-time and long-term retention restores
                      • 2. Manage backup storage and costs
                        • 3. Configure automated backups and retention
                          - Design HA/DR strategy
                          • 1. Evaluate hybrid and cross-region options
                            • 2. Choose between built-in and custom solutions
                              • 3. Define RPO and RTO requirements
                                - Configure high availability solutions
                                • 1. Test and monitor HA/DR operations
                                  • 2. Configure Always On availability groups
                                    • 3. Implement failover groups and auto-failover
                                      Implement a secure environment20–25%- Implement compliance and security controls
                                      • 1. Configure auditing and logging
                                        • 2. Implement data masking and classification
                                          • 3. Assess and remediate vulnerabilities
                                            - 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
                                                  - Configure authentication and authorization
                                                  • 1. Manage database users, roles, and permissions
                                                    • 2. Implement Microsoft Entra ID authentication
                                                      • 3. Apply least privilege principle
                                                        Plan and implement data platform resources15–20%- 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. Identify use cases for hybrid and multi-cloud solutions
                                                                  • 3. Evaluate deployment options for Azure SQL services
                                                                    - 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
                                                                          Monitor and optimize operational resources15–20%- Automate maintenance and operations
                                                                          • 1. Schedule and perform updates and patches
                                                                            • 2. Automate tasks using jobs, scripts, or Logic Apps
                                                                              • 3. Manage database lifecycle operations
                                                                                - 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
                                                                                      - Optimize resource consumption
                                                                                      • 1. Manage costs and licensing
                                                                                        • 2. Adjust compute, storage, and tier settings
                                                                                          • 3. Implement auto-scaling and elasticity

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