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

DP-203 Deutsch

Exam Code: DP-203-Deutsch

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

Updated: Jul 20, 2026

Q & A: 365 Questions and Answers

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About Microsoft DP-203 Deutsch Exam

Data Engineering on Microsoft Azure Exam Certification Details:

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

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: 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 2: Develop data processing40-45%- Develop data transformation logic
        • 1. Use SQL-based transformations
          • 2. Use Spark in Azure Databricks
            - Ingest and transform data
            • 1. Use Azure Data Factory for pipelines
              • 2. Implement stream processing solutions
                • 3. Implement batch processing solutions
                  Topic 3: Design and implement data storage25-30%- Design data storage structures
                  • 1. Design a data partitioning strategy
                    • 2. Recommend appropriate storage accounts and services
                      • 3. Design a data serialization format strategy
                        - 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)
                              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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