Exam Code: DP-203
Exam Name: Data Engineering on Microsoft Azure (DP-203 Deutsch Version)
Certification Provider: Microsoft
Corresponding Certification: Microsoft Certified: Azure Data Engineer Associate
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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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Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/dp-203

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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.

Microsoft DP-203 Deutsch Exam Syllabus Topics:

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

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