Discuss objective domains
All topics covered in the DP-203: Microsoft Azure Data Engineering course are related to data engineering on Azure and map directly to Exam DP-203: Microsoft Azure Data Engineering. Percentages indicate the relative weight of each area on the exam. The higher the percentage, the more questions you are likely to see in that area. For the most up to date breakdown, download the DP-203 study guide from the Exam DP-203: Microsoft Azure Data Engineering page.
Become familiar with the objective domains which are a comprehensive set of specific and measurable knowledge, skills, and abilities that are the basis for the development of both this course and the certification exam:
- Module 1: Explore compute and storage options for data engineering workloads
- Module 2: Run interactive queries using Azure Synapse Analytics serverless SQL pools
- Module 3: Data exploration and transformation in Azure Databricks
- Module 4: Explore, transform, and load data into the data warehouse using Apache Spark
- Module 5: Ingest and load data into the data warehouse
- Module 6: Transform data with Azure Data Factory or Azure Synapse Pipelines
- Module 7: Integrate data from notebooks with Azure Data Factory or Azure Synapse Pipelines
- Module 8: End to end security with Azure Synapse Analytics
- Module 9: Support hybrid transactional analytical processing with Azure Synapse Link
- Module 10: Real-time stream processing with Azure Stream Analytics
- Module 11: Create a stream processing solution with Event Hubs and Azure Databricks
Remember that each module points back to the core theme of data engineering on Azure. Details for each module are included in the corresponding module best practice sections below.