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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.
For more information about the Microsoft DP-203 Exam visit the following reference link:
Microsoft DP-203 Exam Reference link
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Simulation test system
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Skills measured
- Design and develop data processing (25-30%)
- Monitor and optimize data storage and data processing (10-15%)
- Design and implement data storage (40-45%)
- Design and implement data security (10-15%)
Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/dp-203
Familiarize yourself with the format of the Microsoft DP-203 Exam
Microsoft Data Platform (DP) is an exam for IT professionals who are responsible for designing and implementing data processing solutions that integrate with Microsoft platforms, applications, and services. Candidates prepare for this exam by taking the Microsoft Official Curriculum (MOC) course for the Azure Data Engineering on Microsoft Azure certification. The DP-203 exam tests your ability to design and implement data processing solutions on Azure in a cloud environment. You need to understand how to design and create data services with Azure Data Factory; how to create, manage and deploy data models using the Azure Data Catalog; and how to manage the lifecycle of a data solution using Azure Data Lake Analytics. Microsoft DP-203 Dumps Questions and Answers are prepared by experts and reviewed and approved by Microsoft. The test is based on the latest version of Microsoft Data Platform that includes SQL Server 2016, SQL Database, HDInsight, and Power BI. The questions test both technical skills and business knowledge so you need to have a good understanding of both areas in order to pass the test.
Microsoft DP-203日本語 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Design and implement data storage | 40–45% | - Design data storage structures
|
| Topic 2: Monitor and optimize data storage and data processing | 10–15% | - Optimize performance and cost
|
| Topic 3: Design and implement data security | 10–15% | - Implement authentication and authorization
|
| Topic 4: Design and develop data processing | 25–30% | - Develop data processing solutions
|
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