Data Engineering on Microsoft Azure Exam Certification Details:
| Duration | 150 mins |
| Passing Score | 700 / 1000 |
| Sample Questions | Data Engineering on Microsoft Azure Sample Questions |
| Exam Name | Microsoft Certified - Azure Data Engineer Associate |
| Schedule Exam | Pearson VUE |
| Books / Training | DP-203T00: Data Engineering on Microsoft Azure |
| Exam Code | DP-203 |
| Number of Questions | 40-60 |
| Exam Price | $165 (USD) |
Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/dp-203
How to schedule for Microsoft DP-203 Exam
The DP-203 exam is offered through Pearson VUE test centers at various locations across the country. To register for the DP-203 exam, follow these steps: Go to Microsoft DP-203 Exam.
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Simple language
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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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Microsoft DP-203 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Develop data processing | 40-45% | - Ingest and transform data
|
| Secure data solutions | - Ensure compliance
| |
| Design and implement data storage | 25-30% | - Develop data storage solutions
|
| Monitor and optimize data solutions | 30-35% | - Monitor data processing
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