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The Microsoft Data Platform is evolving rapidly and expanding with Azure. The certification exams help you acquire the latest technologies and share your knowledge with others in the field. Getting these certifications has become a must-have badge as it creates your credibility in front of potential employers and clients. The exam covers topics like SQL Server 2014, Azure SQL Database, Azure SQL Data Warehouse, Analysis Services, and Reporting Services. The DP-203 exam is an entry-level exam that tests the candidates on their ability to choose the right tools and techniques to meet business requirements. Microsoft DP-203 Dumps is designed to help students gain hands-on experience and develop skills to pass the DP-203 exam and earn the Microsoft Data Platform Certification. The DP-203 exam will be available in English only, at Prometric test centers globally. Before appearing for the exam make sure you prepare well by checking out our study guide and practice questions based on real-time scenarios to gain good marks for this exam.
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Languages: English, Chinese (Simplified), Japanese, Korean
Retirement date: none
This exam measures your ability to accomplish the following technical tasks: design and implement data storage; design and develop data processing; design and implement data security; and monitor and optimize data storage and data processing.
Data Engineering on Microsoft Azure Exam Certification Details:
| Passing Score | 700 / 1000 |
| Duration | 150 mins |
| Exam Code | DP-203 |
| Number of Questions | 40-60 |
| Books / Training | DP-203T00: Data Engineering on Microsoft Azure |
| Exam Price | $165 (USD) |
| Exam Name | Microsoft Certified - Azure Data Engineer Associate |
| Schedule Exam | Pearson VUE |
| Sample Questions | Data Engineering on Microsoft Azure Sample Questions |
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Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/dp-203
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Microsoft DP-203 Deutsch Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Monitor and optimize data storage and data processing | 10–15% | - Optimize performance and cost
|
| Design and develop data processing | 25–30% | - Develop data processing solutions
|
| Design and implement data storage | 40–45% | - Implement data storage
|
| Design and implement data security | 10–15% | - Implement authentication and authorization
|
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