DP-203: Data Engineering on Microsoft Azure Practice Exam

About this course

As a data engineer working on Azure, you will be responsible for managing various data-related tasks such as identifying data sources, ingesting data from various sources, processing data, and storing data in different formats. You will also be responsible for building and maintaining secure and compliant data processing pipelines using various tools and techniques.Azure data engineers use a variety of Azure data services and frameworks to store and produce cleansed and enhanced datasets for analysis. Depending on the business requirements, data stores can be designed with different architecture patterns, including modern data warehouse (MDW), big data, or Lakehouse architecture.In addition, as an Azure data engineer, you will be responsible for ensuring that the operationalization of data pipelines and data stores are high-performing, efficient, organized, and reliable, given a set of business requirements and constraints. You will help to identify and troubleshoot operational and data quality issues, design and implement monitoring and optimization strategies to meet the data pipelines' needs.Skills at a glanceDesign and implement data storage (15–20%)Develop data processing (40–45%)Secure, monitor, and optimize data storage and data processing (30–35%)Design and implement data storage (15–20%)Implement a partition strategyImplement a partition strategy for filesImplement a partition strategy for analytical workloadsImplement a partition strategy for streaming workloadsImplement a partition strategy for Azure Synapse AnalyticsIdentify when partitioning is needed in Azure Data Lake Storage Gen2Design and implement the data exploration layerCreate and execute queries by using a compute solution that leverages SQ

Course objectives

• identify data sources and ingestion methods
• build and maintain data processing pipelines
• troubleshoot operational and data quality issues