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

Microsoft DP-203 Deutsch Actual PDF
  • Exam Code: DP-203-Deutsch
  • Exam Name: Data Engineering on Microsoft Azure (DP-203 Deutsch Version)
  • Updated: Aug 03, 2026
  • Q & A: 365 Questions and Answers
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How to Register For Exam DP-203: Data Engineering on Microsoft Azure?

Exam Register Link: https://examregistration.microsoft.com/?locale=en-us&examcode=DP-203&examname=Exam%20DP-203:%20Data%20Engineering%20on%20Microsoft%20Azure&returnToLearningUrl=https%3A%2F%2Fdocs.microsoft.com%2Flearn%2Fcertifications%2Fexams%2Fdp-203

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

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Skills measured

  • Design and develop data processing (25-30%)
  • Monitor and optimize data storage and data processing (10-15%)
  • Design and implement data security (10-15%)
  • Design and implement data storage (40-45%)

Microsoft DP-203 Deutsch Exam Syllabus Topics:

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

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