Data Engineering on Microsoft Azure
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You need to trigger an Azure Data Factory pipeline when a file arrives in an Azure Data Lake Storage Gen2 container. Which resource provider should you enable?
Azure Data Engineers integrate, transform, and consolidate data from various structured and unstructured data systems into structures that are suitable for building analytics solutions.
Candidates for Exam DP-203: Data Engineering on Microsoft Azure must have solid knowledge of data processing languages, such as SQL, Python, or Scala, and they need to understand parallel processing and data architecture patterns.
Design and implement data storage (40-45%)
Design and develop data processing (25-30%)
Design and implement data security (10-15%)
Monitor and optimize data storage and data processing (10-15%)