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Last Updated: Jul 19, 2026

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How to Register For Exam DP-203: Data Engineering on Microsoft Azure?

Exam Register Link: https://examregistration.microsoft.com/?locale=en-us&examcode=DP-203&examname=Exam%20DP-203:%20Data%20Engineering%20on%20Microsoft%20Azure&returnToLearningUrl=https%3A%2F%2Fdocs.microsoft.com%2Flearn%2Fcertifications%2Fexams%2Fdp-203

What is the cost of the Microsoft DP-203 Exam

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

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

Schedule exam

Languages: English, Chinese (Simplified), Japanese, Korean

Retirement date: none

This exam measures your ability to accomplish the following technical tasks: design and implement data storage; design and develop data processing; design and implement data security; and monitor and optimize data storage and data processing.

Why is it that important to be certified in the Microsoft DP-203 Exam?

The Microsoft Data Platform is evolving rapidly and expanding with Azure. The certification exams help you acquire the latest technologies and share your knowledge with others in the field. Getting these certifications has become a must-have badge as it creates your credibility in front of potential employers and clients. The exam covers topics like SQL Server 2014, Azure SQL Database, Azure SQL Data Warehouse, Analysis Services, and Reporting Services. The DP-203 exam is an entry-level exam that tests the candidates on their ability to choose the right tools and techniques to meet business requirements. Microsoft DP-203 Dumps is designed to help students gain hands-on experience and develop skills to pass the DP-203 exam and earn the Microsoft Data Platform Certification. The DP-203 exam will be available in English only, at Prometric test centers globally. Before appearing for the exam make sure you prepare well by checking out our study guide and practice questions based on real-time scenarios to gain good marks for this exam.

Microsoft DP-203 Exam Syllabus Topics:

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

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