Skills measured
- Design and implement data storage (40-45%)
- Monitor and optimize data storage and data processing (10-15%)
- Design and develop data processing (25-30%)
- Design and implement data security (10-15%)
Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/dp-203
What is Microsoft DP-203 Certification
Microsoft DP-203 (Designing Data Platform Solutions on Microsoft Azure) certification is a great way to validate your hands-on experience with cloud platforms, data architecture, and database technologies. This exam is designed to determine the competency of candidates to design distributed data solutions for enterprise applications based on Azure technologies. Before you begin studying for this exam, there are a few terms that you should familiarize yourself with. First and foremost, you should understand the difference between Microsoft SQL Server, Microsoft SQL Database, and Microsoft Azure SQL Database. Exam objectives are associated with these products; therefore, it is important to know when you will be tested on each one. Microsoft DP-203 Dumps tests a candidate's knowledge of Microsoft technologies used for building a data platform and cloud environment. Microsoft DP-203 is a certification of data engineers. The certification exam is designed to test the skills of designing, deploying, and managing Microsoft HDInsight and Microsoft Azure SQL Data Warehouse clusters for business intelligence and analytics solutions.
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Certification Topics of Microsoft DP-203 Exam
Design and implement data storage (40-45%)
Design and develop data processing (25-30%)
Monitor and optimize data storage and data processing (10-15%)
Design and implement data security (10-15%)
Microsoft DP-203 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Design and Implement Data Security | 10-15% | - Implement data security
|
| Design and Implement Data Storage | 40-45% | - Implement data storage solutions
|
| Design and Develop Data Processing | 25-30% | - Develop batch processing solutions
|
| Monitor and Optimize Data Storage and Processing | 10-15% | - Optimize performance
|




