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Skills Measured in DP-300 Exam

Planning and Implementation of Data Platform Resources

• Implementing an upgrading a migration strategy for shifting to Azure
  • Migration strategy for online and offline
  • Upgrade strategy for online and offline
• Using manual methods to deploy resources
  • Deploying database offerings on the certain platforms
  • Configuration of customized deployment templates
  • Applying updates and patches for IaaS and hybrid deployment
• Recommending appropriate database solution based on specific needs
  • Evaluating needs for the deployments
  • Predicting the benefits of possible database solutions
  • Assessing scalability for possible database solution as well as its HADR
  • Identifying security features of appropriate database solution
• Resource configuration for performance and scale
  • Configuration of Azure SQL database pools for performance and scale
  • Configuring managed instances for Azure SQL for performance and scale
  • SQL Server configuration in Azure VMs
  • Calculation of resource requirements
  • Evaluation of partitioning techniques for databases such as database sharding
• Strategy evaluation for shifting to Azure
  • Requirements evaluation for migration
  • Planning online and offline migration strategies
  • Upgrade requirements
  • Online and offline upgrade strategies

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

Microsoft DP-300 Exam Syllabus Topics:

The Microsoft DP-300 is also known as Administering Relational Databases on Microsoft Azure. It is a broad step towards emerging as a top-notch Microsoft accredited Azure Database Administrator Associate. As a rule, this test has mainly been conducted to check out an aspirant’s capability to perform countless tasks, such as implementing a safe environment, analyzing and improving various operational supplies, improving query performance, performing administration by utilizing T-SQL, planning, incorporating resources of data platform, and finally accomplishing automation of tasks.