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

Microsoft DP-203 Deutsch test insides dumps
  • Exam Code: DP-203-Deutsch
  • Exam Name: Data Engineering on Microsoft Azure (DP-203 Deutsch Version)
  • Updated: Sep 05, 2026
  • Q & A: 365 Questions and Answers
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Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/dp-203

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All the details of Microsoft DP-203 Exam format?
  • Language: English

  • Exam Length: 40-60 question

  • Exam Format: multiple-choice

  • Passing score: 75%

  • Exam Duration: 130 minutes

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Microsoft DP-203 Deutsch Exam Syllabus Topics:
SectionWeightObjectives
Develop data processing40-45%- Ingest and transform data
  • 1. Implement batch processing solutions
    • 2. Implement stream processing solutions
      • 3. Use Azure Data Factory for pipelines
        - Develop data transformation logic
        • 1. Use SQL-based transformations
          • 2. Use Spark in Azure Databricks
            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
                    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
                          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 relational data stores (Azure SQL, Synapse)
                                  • 2. Implement Azure Data Lake Storage solutions
                                    • 3. Implement Azure Blob Storage solutions

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