Microsoft DP-300 dumps - in .pdf

DP-300 pdf
  • Exam Code: DP-300
  • Exam Name: Administering Relational Databases on Microsoft Azure
  • Updated: Aug 22, 2026
  • Q & A: 503 Questions and Answers
  • PDF Price: $59.99
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  • Exam Code: DP-300
  • Exam Name: Administering Relational Databases on Microsoft Azure
  • Updated: Aug 22, 2026
  • Q & A: 503 Questions and Answers
  • PDF Version + PC Test Engine + Online Test Engine
  • Value Pack Total: $119.98  $79.99
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Microsoft DP-300 dumps - Testing Engine

DP-300 Testing Engine
  • Exam Code: DP-300
  • Exam Name: Administering Relational Databases on Microsoft Azure
  • Updated: Aug 22, 2026
  • Q & A: 503 Questions and Answers
  • Software Price: $59.99
  • Testing Engine

About Microsoft Administering Relational Databases on Microsoft Azure Dumps Question

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Retirement date: none

This exam measures your ability to accomplish the following technical tasks: plan and implement data platform resources; implement a secure environment; monitor and optimize operational resources; optimize query performance; perform automation of tasks; plan and implement a High Availability and Disaster Recovery (HADR) environment; and perform administration by using T-SQL.

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Exam Topics

The Microsoft DP-300 exam measures the capability of the candidates to complete certain technical tasks, such as querying performance, planning and implementing the High Availability & Disaster Recovery environment, and optimizing & monitoring operational resources. The highlights of these topics are as follows:

  • Use of T-SQL in Administration Performance: 10-15%

    Within this module, the individuals should be able to evaluate system health and use T-SQL to monitor the configuration of database. It will evaluate their skills in performing backup and database restoration with the use of T-SQL, as well as managing authentication and authorization utilizing T-SQL.

  • Operational Resources Optimization and Monitoring: 15-20%

    The test takers need the relevant skills in managing performance and activity, identifying issues related to performance, and implementing maintenance tasks that are related to performance. This section of the exam also requires that they demonstrate their expertise in configuring resources and user databases for optimum performance.

  • Secure Environment Implementation: 15-20%

    This topic will evaluate the capability of the candidates to use database tools and platforms to configure the authentication and authorization of database. It will also measure the skills required to implement the security for data on rest. Additionally, the individuals should develop their expertise in implementing security for data on transit and compliance controls for delicate data.

  • Data Platform Resources Planning and Implementation: 15-20%

    The applicants should have the ability to deploy resources with the use of manual methods. They should also be able to recommend the relevant database contributions based on certain prerequisites. The examinees will be measured based on their competence in configuring resources for performance and scale; evaluating strategies for movement to Azure. They also need the knowledge of upgrade or migration strategy implementation to move to Azure.

  • Query Performance Optimization: 5-10%

    This knowledge area of the exam will test the ability of the students to evaluate performance optimization, evaluate query plans, and review index design and database table. This covers their competence in identifying issues with data quality based on duplication of data; evaluating a strategy for table partitioning; evaluating index design for optimal performance.

  • Tasks Automation Performance: 10-15%

    The examinees should have the capacity to develop scheduled tasks, measure and execute notification and alert strategies, and automate and manage tasks within Azure. This part will test their skills in managing schedules for different maintenance jobs, automating backups, and creating alerts for the server configuration changes.

  • HADR Planning and Implementation: 15-20%

    This domain requires that the candidates have the ability to recommend High Availability & Disaster Recovery (HADR) strategies for data platform solutions. It also covers the skills in testing HADR strategies with the use of database tools, platforms, and operating systems. The subject area will also evaluate one’s expertise in performing the backup and restoration of a database with the use of database tools. It will also measure the ability to configure High Availability & Disaster Recovery with the use of platform, database tools, and OS.

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

Microsoft DP-300: Great Career Prospects

The positions that the professionals holding the Microsoft Certified: Azure Database Administrator Associate certification can explore include a SQL Database Administrator, a Data Engineer, a Systems Administrator, a Database Administrator, a Data Analyst, an Azure Data Engineer, and a Data Scientist. The salary outlook for these job titles is an average of $84,000 per annum.

Microsoft DP-300 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Implement a secure environment20–25%- Implement compliance and security controls
  • 1. Assess and remediate vulnerabilities
    • 2. Implement data masking and classification
      • 3. Configure auditing and logging
        - 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. Manage database users, roles, and permissions
                • 2. Apply least privilege principle
                  • 3. Implement Microsoft Entra ID authentication
                    Topic 2: Monitor and optimize operational resources15–20%- Monitor database performance and health
                    • 1. Use Azure Monitor, SQL Insights, and metrics
                      • 2. Identify and diagnose performance issues
                        • 3. Set up alerts and notifications
                          - 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
                                      Topic 3: Plan and implement data platform resources15–20%- Implement migration strategies
                                      • 1. Migrate between Azure services or from on-premises
                                        • 2. Perform offline and online migrations
                                          • 3. Evaluate migration requirements and strategies
                                            - 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. Plan for scalability and performance requirements
                                                    • 2. Evaluate deployment options for Azure SQL services
                                                      • 3. Identify use cases for hybrid and multi-cloud solutions
                                                        Topic 4: Plan and configure high availability and disaster recovery20–25%- 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
                                                              - Configure high availability solutions
                                                              • 1. Test and monitor HA/DR operations
                                                                • 2. Implement failover groups and auto-failover
                                                                  • 3. Configure Always On availability groups
                                                                    - Design HA/DR strategy
                                                                    • 1. Define RPO and RTO requirements
                                                                      • 2. Evaluate hybrid and cross-region options
                                                                        • 3. Choose between built-in and custom solutions
                                                                          Topic 5: Optimize query performance15–20%- Manage workload performance
                                                                          • 1. Implement partitioning and compression
                                                                            • 2. Control resource usage and concurrency
                                                                              • 3. Troubleshoot slow-running queries
                                                                                - Improve query performance
                                                                                • 1. Optimize T-SQL code and constructs
                                                                                  • 2. Create and modify indexes
                                                                                    • 3. Use query store and performance tuning tools
                                                                                      - Analyze query execution plans
                                                                                      • 1. Evaluate index usage and design
                                                                                        • 2. Identify bottlenecks and inefficiencies
                                                                                          • 3. Interpret execution plans and statistics

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