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Updated: Sep 10, 2026
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Candidates for this exam should have subject matter expertise integrating, transforming, and consolidating data from various structured and unstructured data systems into a structure that is suitable for building analytics solutions.
Azure Data Engineers help stakeholders understand the data through exploration, and they build and maintain secure and compliant data processing pipelines by using different tools and techniques. These professionals use various Azure data services and languages to store and produce cleansed and enhanced datasets for analysis.
Azure Data Engineers also help ensure that data pipelines and data stores are high-performing, efficient, organized, and reliable, given a set of business requirements and constraints. They deal with unanticipated issues swiftly, and they minimize data loss. They also design, implement, monitor, and optimize data platforms to meet the data pipelines needs.
A candidate for this exam must have strong knowledge of data processing languages such as SQL, Python, or Scala, and they need to understand parallel processing and data architecture patterns.
Part of the requirements for: Microsoft Certified: Azure Data Engineer Associate
Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/dp-203
| Certification Vendor: | Microsoft |
|---|---|
| Exam Name: | Data Engineering on Microsoft Azure |
| Exam Number: | DP-203 |
| Real Exam Qty: | 40–60 |
| Exam Format: | Case studies, Multiple-choice, Scenario-based questions, Multiple-answer |
| Available Languages: | Chinese (Traditional), Italian, Portuguese (Brazil), English, Chinese (Simplified), French, Arabic (Saudi Arabia), Korean, Japanese, Spanish, German, Russian, Indonesian (Indonesia) |
| Related Certifications: | Microsoft Certified: Azure Database Administrator Associate Microsoft Certified: Azure Data Scientist Associate |
| Exam Price: | $165 USD |
| Certificate Validity Period: | 2 years |
| Passing Score: | 700 (scale 100–1000) |
| Exam Duration: | 150 minutes |
| Recommended Training: | Microsoft Learn: DP-203 Learning Path Azure Data Engineer Associate Training |
| Exam Registration: | Pearson VUE Microsoft Exam Registration |
| Sample Questions: | Microsoft DP-203 Deutsch Sample Questions |
| Exam Way: | Online proctored or onsite at Pearson VUE test centers |
| Pre Condition: | No mandatory prerequisites; recommended experience: 2+ years working with Azure data services, knowledge of SQL, Python/Scala, data modeling, ETL/ELT processes |
| Official Syllabus URL: | https://learn.microsoft.com/en-us/credentials/certifications/exams/dp-203/ |
The Average salary of different countries of Microsoft DP-203 Certified professional
UK - 78707 Pounds
United States - $104,000 USD
India - 7905404 INR
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.
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Design and implement data storage | 40–45% | - Implement data storage
|
| Topic 2: Design and develop data processing | 25–30% | - Develop data processing solutions
|
| Topic 3: Monitor and optimize data storage and data processing | 10–15% | - Optimize performance and cost
|
| Topic 4: Design and implement data security | 10–15% | - Protect data at rest and in transit
|
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