Microsoft Azure Data Engineer Associate

The Microsoft Azure Data Engineer Associate (DP-203) certification validates expertise in integrating, transforming, and consolidating data from various structured and unstructured data systems into structures that are suitable for building analytics solutions. Data engineers certified in DP-203 design and implement data storage, processing, and security solutions using Azure Synapse Analytics, Azure Data Factory, Azure Databricks, Azure Stream Analytics, and Azure Data Lake Storage.

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What is the Azure Data Engineer Associate (DP-203) Certification?

Who Should Take This Course?

Data engineers building Azure-based data pipelines and lakes
ETL/ELT developers migrating on-premises data workloads to Azure
BI engineers transitioning to cloud data engineering roles
Data architects designing enterprise analytics on Azure
SQL developers moving into big data and cloud data platforms
Data scientists who need to engineer data pipelines for ML workloads

What You Will Learn in the DP-203 Course

A comprehensive curriculum covering all exam objectives with hands-on labs and real-world practice.

Design and Implement Data Storage

Architect scalable data storage solutions using Azure Data Lake, Synapse, and Cosmos DB.

Azure Data Lake Storage Gen2 — hierarchical namespace, ACLs
Azure Synapse Analytics — dedicated SQL pools and serverless SQL
Partitioning strategies for performance and cost optimization
Delta Lake and lakehouse architecture patterns

Design and Develop Data Processing

Build batch and streaming data processing pipelines using Azure-native services.

Azure Data Factory — pipelines, linked services, and triggers
Azure Databricks — PySpark, Delta Live Tables, and Unity Catalog
Azure Stream Analytics — event time, windowing, and outputs
Azure Synapse Spark pools for large-scale data transformation

Design and Implement Data Security

Apply data governance, privacy, and security controls to Azure data solutions.

Azure Purview for data cataloging and lineage tracking
Dynamic data masking and row-level security in Synapse
Column-level encryption and Always Encrypted in Azure SQL
Managed private endpoints and network isolation for data services

Monitor and Optimize Data Storage and Processing

Tune performance and reliability of data pipelines and storage solutions.

Azure Monitor and Diagnostic Logs for pipeline monitoring
Query performance tuning in Synapse SQL pools
Cost optimization with auto-pause and auto-scale in Synapse
Data pipeline troubleshooting and retry strategies in ADF

Course Prerequisites

Pre-requisites training is free when you purchase the course from ProSupport

Azure Fundamentals (AZ-900) or equivalent Azure knowledge
1–2 years of data engineering or data warehouse experience
Proficiency in SQL, Python, or Scala for data transformation
Understanding of cloud storage, relational and non-relational databases
Familiarity with data modeling concepts — star schema, normalized models

Exam Information

Everything you need to know about the DP-203 certification exam.

Exam Component	Details
Exam Name	Microsoft Azure Data Engineer Associate
Exam Code	DP-203
Exam Type	Multiple Choice, Case Studies, Drag-and-Drop
Total Questions	40–60
Passing Score	700 (out of 1000)
Exam Duration	100 minutes
Language	English, Japanese, Chinese (Simplified), Korean, Spanish, German, French, Portuguese (Brazil)
Exam Provider	Microsoft / Pearson VUE
Exam Focus	Designing and implementing data storage, processing, security, and optimization on Azure
Exam Registration	Register at microsoft.com/en-us/learning or via Pearson VUE
Retake Policy	24 hours before first retake; 14 days before subsequent retakes; 5 attempts per year
Certification Validity	1 year — renewable via free online renewal assessment on Microsoft Learn