Certification Overview

To earn the Azure Data Engineer Associate certification, you must pass:

  • DP-203  Data Engineering on Microsoft Azure

This exam measures your ability to design and implement data storage, data processing, data security, and monitoring solutions.

What DP-203 Validates

With Azure Data Engineer Associate, you demonstrate your ability to:

  • Design and implement data storage solutions
  • Develop data processing solutions
  • Secure and monitor data solutions
  • Optimize and maintain data pipelines
  • Implement batch and real-time data processing

Track Details & Exam Requirements

  • DP-203  Data Engineering on Microsoft Azure

This exam measures your ability to design and implement data storage, data processing, data security, and monitoring solutions.

What DP-203 Validates

With Azure Data Engineer Associate, you demonstrate your ability to:

  • Design and implement data storage solutions
  • Develop data processing solutions
  • Secure and monitor data solutions
  • Optimize and maintain data pipelines
  • Implement batch and real-time data processing

Validity & Recertification

Certification Validity

Azure Data Engineer Associate certification is valid for 1 year. To maintain certification, you must complete a free online renewal assessment on Microsoft Learn before expiration.

Recommended Experience

Microsoft recommends:

  • Experience with data processing languages (SQL, Python, Scala)
  • Understanding of parallel processing and data architecture patterns
  • Experience with Azure data services
  • Familiarity with big data concepts

There are no formal prerequisites, but Azure Data Fundamentals (DP-900) is helpful.

Who Should Pursue Azure Data Engineer?

  • Data Engineers
  • Database Developers
  • Cloud Data Architects
  • BI Developers
  • Analytics Engineers

Career Benefits

  • Validates expertise in Azure data solutions
  • Enhances credibility in cloud data engineering roles
  • Prepares you for advanced certifications like Azure Solutions Architect (AZ-305)
  • Opens opportunities in big data and analytics careers