Microsoft DP-203 Deutsch Exam Details & Actual Exam Questions

  • Exam Code/Number: DP-203 Deutsch
  • Exam Name/Title: Data Engineering on Microsoft Azure (DP-203 Deutsch Version)
  • Certification Provider: Microsoft
  • Corresponding Certification: Microsoft Certified: Azure Data Engineer Associate
  • Exam Questions: 365
  • Updated On: Aug,28 2026
  • Certification Level: Associate

Microsoft Data Engineering on Microsoft Azure (DP-203 Deutsch Version) Exam Questions

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Microsoft DP-203 Deutsch Exam Overview:

Certification Vendor:Microsoft
Exam Name:Data Engineering on Microsoft Azure
Exam Number:DP-203
Available Languages:English, Chinese (Simplified), Korean, Spanish, German, Japanese, Portuguese (Brazil), French
Passing Score:700 (out of 1000)
Exam Duration:120 minutes
Related Certifications:Microsoft Certified: Azure Data Fundamentals (DP-900)
Microsoft Certified: Azure Solutions Architect Expert (AZ-305)
Real Exam Qty:40-60 (approx.)
Certificate Validity Period:1 year (renewable through free online assessment)
Exam Price:$165 USD (varies by country/region)
Exam Format:Multiple response, Drag and drop, Multiple choice, Case studies, Build list
Recommended Training:Microsoft Learn DP-203 Learning Path
Microsoft Azure Data Engineer Associate Certification
Exam Registration:Pearson VUE Registration
Microsoft Learn Certification Exam Page
Sample Questions:Microsoft DP-203 Deutsch Sample Questions
Exam Way:Online proctored or in-person at authorized testing centers (Pearson VUE)
Pre Condition:No mandatory prerequisites. Recommended: familiarity with Azure data services, SQL, and basic data engineering concepts.
Official Syllabus URL:https://learn.microsoft.com/en-us/credentials/certifications/exams/dp-203/

Microsoft DP-203 Deutsch Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Monitor and optimize data solutions30-35%- Monitor data processing
  • 1. Troubleshoot data workflows
    • 2. Monitor pipelines using Azure Monitor
      - Optimize performance
      • 1. Optimize data storage performance
        • 2. Optimize query performance in Synapse
          Topic 2: Design and implement data storage25-30%- Develop data storage solutions
          • 1. Implement Azure Blob Storage solutions
            • 2. Implement Azure Data Lake Storage solutions
              • 3. Implement relational data stores (Azure SQL, Synapse)
                - Design data storage structures
                • 1. Design a data serialization format strategy
                  • 2. Design a data partitioning strategy
                    • 3. Recommend appropriate storage accounts and services
                      Topic 3: Secure data solutions- Ensure compliance
                      • 1. Use Microsoft Purview for governance
                        - Implement data security
                        • 1. Manage access control with Azure RBAC
                          • 2. Implement encryption at rest and in transit
                            Topic 4: Develop data processing40-45%- Develop data transformation logic
                            • 1. Use SQL-based transformations
                              • 2. Use Spark in Azure Databricks
                                - Ingest and transform data
                                • 1. Implement stream processing solutions
                                  • 2. Use Azure Data Factory for pipelines
                                    • 3. Implement batch processing solutions


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