• views: 136
• date: 15 May 2026
• posted by: 0nelove

Preparation for DP-203 Data Engineering on Microsoft Azure exam
What you'll learn
Student will learn how to implement & manage data engineering workloads on Microsoft Azure.
Students will learn the various Azure services such as Azure Synapse Analytics, Azure Data Lake Storage Gen2, Azure Stream Analytics, Azure Databricks
Azure Synapse Analytics, Azure Data Lake Storage Gen2, Azure Stream Analytics, Azure Databricks
Individuals interested in Data Engineering field can pursue DP 203
Requirements
Students are required to have a minimum skills on basic data formats - CSV, JSON
Students are required to be familiar with any one database system along with Structured Query Language
Description
Release v3.0 - May 2024
The entire course has been updated and refreshed. All chapters have been re-recorded. This has been done to ensure that all contents now reflect the most recent changes to the services on the Azure platform.
All course contents have also been aligned as per any changes to the course objectives.
Release v2.0 - May 2023
The entire course has been updated and refreshed. All chapters have been re-recorded. This has been done to ensure that all contents now reflect the most recent changes to the services on the Azure platform.
All course contents have also been aligned as per any changes to the course objectives.
Additional questions have been also added to the Practice Tests.
Release v1.0 Initial Release
This course is designed for students who want to attain the "Microsoft Certified: Azure Data Engineer Associate" certification
This course has contents for the Exam DP-203
The objectives covered in this course are
• 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%)
In this course students will learn about the various Azure services that pertain to Data Engineering. Few of the important aspects that students will learn along the way includes the following
• What is the purpose of an Azure Data Lake Gen 2 storage account
• Basics on Transact-SQL commands
• How to work with Azure Synapse. This will include building a data warehouse into a dedicated SQL Pool.
• How to build an ETL pipeline with the help of Azure Data Factory. There will be various scenarios on how to create mapping data flows.
• How to stream data with the use of Azure Stream Analytics. You can see how SQL commands can be used for your streaming data.
• Basics on the Scala programming language, and SPARK
• How to work with SPARK, Scala in Azure Databricks. We will see how to work with Notebooks. We will also see how to stream data into Azure Databricks.
• The different security measures and monitoring aspects to consider when working with Azure services
Who this course is for
This course caters data professionals, data architects, and business intelligence professionals who would like to gain knowledge about data engineering.
Proficiency in DP 203 helps building analytical solutions using data platform technologies that exist on Microsoft Azure.



   
   
   

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