DP-900 vs DP-203: Which Data Certification First?
Compare Azure Data Fundamentals (DP-900) and Data Engineer Associate (DP-203). Choose the right path for your data career.
Table of Contents
Quick Comparison
Both certifications focus on Azure data services but target different experience levels. Here's how they compare:
| Aspect | DP-900 | DP-203 |
|---|---|---|
| Level | Fundamentals | Associate |
| Target Audience | Beginners | Data Engineers |
| Exam Duration | 60 minutes | 120 minutes |
| Cost | $99 USD | $165 USD |
| Prerequisites | None | DP-900 recommended |
| Difficulty | Easy | Medium-High |
DP-900: Data Fundamentals
The DP-900 certification validates foundational knowledge of core data concepts and Azure data services.
Best For:
- Anyone new to data and cloud
- Business analysts exploring Azure
- IT professionals transitioning to data
- Students starting data careers
Key Topics:
- Core data concepts (relational, NoSQL)
- Azure SQL Database basics
- Azure Cosmos DB overview
- Data analytics fundamentals
DP-203: Data Engineer Associate
The DP-203 certification validates expertise in designing and implementing data solutions using Azure data services.
Best For:
- Data engineers building pipelines
- ETL developers on Azure
- Data architects designing solutions
- Analytics engineers
Key Topics:
- Azure Synapse Analytics
- Azure Data Factory pipelines
- Data Lake Storage Gen2
- Azure Databricks integration
Which Should You Take First?
Start with DP-900 if:
- You're new to data concepts
- You have no Azure experience
- You want a quick win certification
- You're exploring career options
Skip to DP-203 if:
- You have data engineering experience
- You already know Azure basics
- You work with ETL/data pipelines
- You have SQL and Python skills
Recommended Path: For most people, DP-900 → DP-203 is the ideal progression. DP-900 provides essential data vocabulary and Azure service awareness that makes DP-203 content easier to absorb. If you're already an experienced data professional, you can skip directly to DP-203.
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