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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

Target Audience

The primary goal of DP-300 exam is for you to deal with administering relational databases. Therefore, it would be mandatory to check whether DP-300 is the best-in-class option for your career ambition. Commonly, candidates could become database administrators and database management authorities after successfully accomplishing this evaluation. So, in short, the targeted audience will be those aspirants who want to be an Azure SQL Database Administrator and the ones preparing for this test.

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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
• 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
• Configuring a user database
  • Implementation of database-scoped configuration
  • Configuring compute resources
  • Intelligent Query Processing (IQP) configuration
• 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
• Resource configuration for optimal performance
  • Infrastructure and storage resources
  • Server and service account settings
  • Configuration of Resource Governance for performance