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

DP-203 Deutsch pass collection

Exam Code: DP-203-Deutsch

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

Updated: Aug 25, 2026

Q & A: 365 Questions and Answers

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

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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

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

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Languages: English, Chinese (Simplified), Japanese, Korean

Retirement date: none

This exam measures your ability to accomplish the following technical tasks: design and implement data storage; design and develop data processing; design and implement data security; and monitor and optimize data storage and data processing.

Microsoft DP-203 Deutsch Exam Syllabus Topics:

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

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