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Updated: Sep 10, 2026

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Exam DP-203: Data Engineering on Microsoft Azure

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

Download exam skills outline

Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/dp-203

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%)

Microsoft DP-203 Deutsch Exam Overview:

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/

What is the salary of a Microsoft DP-203 certified professional?

The Average salary of different countries of Microsoft DP-203 Certified professional

  • UK - 78707 Pounds

  • United States - $104,000 USD

  • India - 7905404 INR

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 Deutsch Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Design and implement data storage40–45%- Implement data storage
  • 1. Implement relational and non-relational data stores
    • 2. Manage data lifecycle and retention policies
      • 3. Create and configure data storage accounts
        • 4. Implement data lake storage
          - Design data storage structures
          • 1. Design for data durability and availability
            • 2. Design for scalability and performance
              • 3. Design partitioning strategies
                • 4. Recommend storage solutions for analytical workloads
                  Topic 2: Design and develop data processing25–30%- Develop data processing solutions
                  • 1. Implement incremental processing
                    • 2. Implement data ingestion
                      • 3. Manage data flows and dependencies
                        • 4. Transform data using Spark, SQL, or other tools
                          - Design data processing pipelines
                          • 1. Design for data integration and transformation
                            • 2. Design orchestration and scheduling
                              • 3. Design real-time processing solutions
                                • 4. Design batch processing solutions
                                  Topic 3: Monitor and optimize data storage and data processing10–15%- Optimize performance and cost
                                  • 1. Tune pipelines and workloads
                                    • 2. Improve query and processing efficiency
                                      • 3. Optimize storage and compute resources
                                        - Monitor data solutions
                                        • 1. Log and analyze activity and usage
                                          • 2. Monitor pipeline execution and errors
                                            • 3. Monitor storage performance and health
                                              Topic 4: Design and implement data security10–15%- Protect data at rest and in transit
                                              • 1. Manage data privacy and compliance
                                                • 2. Configure data masking and redaction
                                                  • 3. Implement encryption
                                                    - Implement authentication and authorization
                                                    • 1. Manage access to data resources
                                                      • 2. Configure identity and access management

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