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  • Exam Code: DP-203-KR
  • Exam Name: Data Engineering on Microsoft Azure (DP-203 Korean Version)
  • Last Updated: Jul 29, 2026
  • Q & A: 365 Questions and Answers
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  • Exam Code: DP-203-KR
  • Exam Name: Data Engineering on Microsoft Azure (DP-203 Korean Version)
  • Last Updated: Jul 29, 2026
  • Q & A: 365 Questions and Answers
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Data Engineering on Microsoft Azure Exam Certification Details:

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

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

What is the cost of the Microsoft DP-203 Exam

The Microsoft DP-203 Exam cost is $165 USD.

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Microsoft DP-203 Korean Exam Syllabus Topics:

SectionWeightObjectives
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
        Monitor and optimize data solutions30-35%- Monitor data processing
        • 1. Monitor pipelines using Azure Monitor
          • 2. Troubleshoot data workflows
            - Optimize performance
            • 1. Optimize data storage performance
              • 2. Optimize query performance in Synapse
                Develop data processing40-45%- Develop data transformation logic
                • 1. Use SQL-based transformations
                  • 2. Use Spark in Azure Databricks
                    - Ingest and transform data
                    • 1. Implement stream processing solutions
                      • 2. Use Azure Data Factory for pipelines
                        • 3. Implement batch processing solutions
                          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 partitioning strategy
                                    • 3. Design a data serialization format strategy

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