This certification validates expertise in designing and implementing data solutions, including data lakes, data pipelines, and real-time analytics on Azure.
Core Areas:
- Data ingestion, transformation, storage, and analytics.
Collaboration:
- Work with data scientists and business analysts to build scalable data solutions.
Required Knowledge:
- ETL processes, SQL, and distributed computing.
Hands-on Experience:
- Azure Data Factory, Synapse Analytics, Databricks, and Azure Stream Analytics.
Key Skills Measured:
- Design and implement data storage solutions
- Develop data pipelines and data transformation processes
- Implement security and data governance
- Monitor and optimize data solutions
- Work with real-time and batch processing
Data Engineering on Microsoft Azure - DP-203
⏳ Duration: 100 minutes
📜 Policy: Proctored, no open book, may include interactive tasks.
🔄 Retakes: 24-hour wait after the first attempt; longer for further retakes (see policy for details).
🌍 Languages: Available in English, French, Spanish, German, Arabic, Chinese (Simplified & Traditional), and more.
♿ Accommodations: Support available if needed.
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