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Microsoft Microsoft Certified: Azure Data Engineer Associate DP-203-Deutsch

DP-203-Deutsch

Exam Code: DP-203-Deutsch

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

Updated: Sep 21, 2026

Q & A: 365 Questions and Answers

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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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Data Engineering on Microsoft Azure Exam Certification Details:

Exam CodeDP-203
Sample QuestionsData Engineering on Microsoft Azure Sample Questions
Duration150 mins
Passing Score700 / 1000
Exam Price$165 (USD)
Schedule ExamPearson VUE
Books / TrainingDP-203T00: Data Engineering on Microsoft Azure
Exam NameMicrosoft Certified - Azure Data Engineer Associate
Number of Questions40-60

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

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Microsoft DP-203 Deutsch Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: 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
          Topic 2: Secure data solutions- Implement data security
          • 1. Manage access control with Azure RBAC
            • 2. Implement encryption at rest and in transit
              - Ensure compliance
              • 1. Use Microsoft Purview for governance
                Topic 3: Develop data processing40-45%- Ingest and transform data
                • 1. Implement stream processing solutions
                  • 2. Implement batch processing solutions
                    • 3. Use Azure Data Factory for pipelines
                      - Develop data transformation logic
                      • 1. Use SQL-based transformations
                        • 2. Use Spark in Azure Databricks
                          Topic 4: Design and implement data storage25-30%- Develop data storage solutions
                          • 1. Implement Azure Data Lake Storage solutions
                            • 2. Implement relational data stores (Azure SQL, Synapse)
                              • 3. Implement Azure Blob Storage solutions
                                - Design data storage structures
                                • 1. Recommend appropriate storage accounts and services
                                  • 2. Design a data serialization format strategy
                                    • 3. Design a data partitioning strategy
                                      DP-203 Deutsch Related Exams
                                      DP-203 - Data Engineering on Microsoft Azure
                                      DP-203J - Data Engineering on Microsoft Azure (DP-203日本語版)
                                      DP-203-KR - Data Engineering on Microsoft Azure (DP-203 Korean Version)
                                      DP-203 Deutsch - Data Engineering on Microsoft Azure (DP-203 Deutsch Version)
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