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All the details of Microsoft DP-203 Exam format?

  • Exam Length: 40-60 question

  • Exam Duration: 130 minutes

  • Passing score: 75%

  • Language: English

  • Exam Format: multiple-choice

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

What is the salary of a Microsoft DP-203 certified professional?

The Average salary of different countries of Microsoft DP-203 Certified professional

  • UK - 78707 Pounds

  • India - 7905404 INR

  • United States - $104,000 USD

Familiarize yourself with the format of the Microsoft DP-203 Exam

Microsoft Data Platform (DP) is an exam for IT professionals who are responsible for designing and implementing data processing solutions that integrate with Microsoft platforms, applications, and services. Candidates prepare for this exam by taking the Microsoft Official Curriculum (MOC) course for the Azure Data Engineering on Microsoft Azure certification. The DP-203 exam tests your ability to design and implement data processing solutions on Azure in a cloud environment. You need to understand how to design and create data services with Azure Data Factory; how to create, manage and deploy data models using the Azure Data Catalog; and how to manage the lifecycle of a data solution using Azure Data Lake Analytics. Microsoft DP-203 Dumps Questions and Answers are prepared by experts and reviewed and approved by Microsoft. The test is based on the latest version of Microsoft Data Platform that includes SQL Server 2016, SQL Database, HDInsight, and Power BI. The questions test both technical skills and business knowledge so you need to have a good understanding of both areas in order to pass the test.

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Microsoft DP-203 Korean 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: Monitor and optimize data solutions30-35%- Monitor data processing
            • 1. Troubleshoot data workflows
              • 2. Monitor pipelines using Azure Monitor
                - Optimize performance
                • 1. Optimize query performance in Synapse
                  • 2. Optimize data storage performance
                    Topic 3: Secure data solutions- Ensure compliance
                    • 1. Use Microsoft Purview for governance
                      - Implement data security
                      • 1. Manage access control with Azure RBAC
                        • 2. Implement encryption at rest and in transit
                          Topic 4: 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 Azure Data Lake Storage solutions
                                    • 3. Implement relational data stores (Azure SQL, Synapse)

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