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70-473 - Designing and Implementing Cloud Data Platform Solutions

The 70-473 examination is part of the Cloud center structure services Certification. This examination measures your capacity to deal with Cloud Azure Solutions.

This certification assessment is targeted for professional that perform installation, setup, general monitoring and also servicing, storing for Microsoft SQL Server and Microsoft Azure SQL Database. Prospects execute basic setup tasks, consisting of mounting as well as configuring Microsoft Azure SQL Database Server. This is actually a checklist of covered subject matters:

  • Design and also implement high availability answers
  • Design and also carry out Azure SQL Database data healing
  • Monitor as well as repair SQL Server
  • Implement and design SQL Server Database safety
  • Azure SQL Database implementation and layout
  • Design a combination SQL Server service

Our 70-473 dumping grounds will certainly include those topics:

  • Design as well as carry out database services for Microsoft SQL Server and Microsoft Azure SQL Database (20-25%).
  • Design as well as Implement Security (25-30%).
  • Design for high schedule, disaster healing, and also scalability (25-30%).
  • Monitor as well as deal with database implementations in Azure (25-30%).

For additional details go to: Microsoft Official 70-473 Exam Reference.

High degree topics covered by our practice examination.

This Web Simulator is actually for Candidates along with expertise in Microsoft data platform services along with appropriate work knowledge in on-premises and cloud-based system answers using nearby as well as web server storage space services. The prospects must likewise recognize along with the components as well as capabilities of the Microsoft data system to be able to pinpoint tradeoffs and also to decide for designing social and hybrid cloud remedies.

The Web Simulator will additionally help candidates that take this exam to discover the proper facilities as well as system solutions to satisfy the needed practical, functional, and release criteria through the data lifecycle.