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

Updated: Aug 01, 2026

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DP-203 Deutsch guide torrent
  • Exam Code: DP-203-Deutsch
  • Exam Name: Data Engineering on Microsoft Azure (DP-203 Deutsch Version)

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What is the cost of the Microsoft DP-203 Exam

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

All the details of Microsoft DP-203 Exam format?

  • Passing score: 75%

  • Exam Duration: 130 minutes

  • Exam Format: multiple-choice

  • Language: English

  • Exam Length: 40-60 question

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

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Certification Topics of Microsoft DP-203 Exam

  • Design and implement data security (10-15%)

  • Monitor and optimize data storage and data processing (10-15%)

  • Design and implement data storage (40-45%)

  • Design and develop data processing (25-30%)

Microsoft DP-203 Deutsch Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Design and Develop Data Processing25-30%- Develop batch processing solutions
  • 1. Develop Azure Data Factory pipelines
  • 2. Implement Azure Databricks notebooks
  • 3. Transform data using Apache Spark
- Develop stream processing solutions
  • 1. Implement Azure Stream Analytics
  • 2. Process streaming data with Event Hubs
Topic 2: Monitor and Optimize Data Storage and Processing10-15%- Monitor data solutions
  • 1. Monitor Spark workloads
  • 2. Monitor pipeline execution
- Optimize performance
  • 1. Optimize query performance
  • 2. Optimize data partitioning and indexing
Topic 3: Design and Implement Data Security10-15%- Implement data security
  • 1. Configure authentication and authorization
  • 2. Implement data encryption
  • 3. Manage sensitive data
Topic 4: Design and Implement Data Storage40-45%- Design a data storage structure
  • 1. Design a data warehouse schema
  • 2. Design partitioning strategies
  • 3. Design a lakehouse architecture
- Implement data storage solutions
  • 1. Implement Azure Data Lake Storage
  • 2. Implement Delta Lake
  • 3. Implement Azure Synapse Analytics storage

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