DP-203T00: Data Engineering on Microsoft Azure Course Overview

DP-203T00: Data Engineering on Microsoft Azure Course Overview

The DP-203T00: Data engineering on Microsoft Azure course is designed to impart the knowledge and skills necessary to design and implement Data engineering solutions on Azure. It covers a comprehensive range of Azure services including Azure Data Lake Storage Gen2, Azure Synapse Analytics, Azure Stream Analytics, and Azure Databricks among others.

Learners will gain practical experience through labs that reinforce the lessons, such as querying data with Serverless SQL pools, performing Data engineering with Azure Synapse Apache Spark Pools, and implementing Real-time analytics with Azure Stream Analytics. The course also dives into security and compliance with modules on End-to-end security, and it explores Integration with Power BI for reporting and Azure Synapse Analytics for machine learning processes.

By the end of this course, participants will have a strong foundation in Data engineering practices, enabling them to build scalable and secure data solutions in the cloud. This course is beneficial for professionals looking to leverage Azure for data processing, analytics, and to gain insights that can drive business value.

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Course Advisor

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Prem Nidhi Sharma

15 + Years Experience

Data Warehouse | Fabric Analytics | SQL Database | Database Administration | Python | ETL Testing

Experienced Database Administrator and Microsoft Certified Trainer with over 15 years of expertise in providing training on Microsoft Database Administration to global clients such as HCL, Wipro, Cognizant, and Infosys. Skilled in Microsoft Database courses such as Querying Data with Transact-SQL 2016, Microsoft: Administering a SQL Database Infrastructure, and Implementation of a SQL 2016 Data Warehouse. Specializes in making training a fun and interactive learning experience. Notable clientele includes organizations like NATO, Allianz, Ernst & Young LLP, and Microsoft Corporation.

Exam-Format Table
Exam ComponentDetails
Exam NameDP-203T00: Data Engineering on Microsoft Azure
Exam TypeMultiple Choice Questions (MCQs), Case Studies, and Hands-on Labs
Total Questions40-60
Passing Score700 (out of 1000)
Exam Duration180 minutes
LanguageEnglish
Exam ProviderMicrosoft
Exam RegistrationThrough Microsoft's official certification website or authorized testing centers
Certification Validity1 year (can be renewed)
Recommended TrainingData Engineering on Microsoft Azure Training Course

Target Audience for DP-203T00: Data Engineering on Microsoft Azure

  1. The DP-203T00 course equips professionals with advanced skills in Azure data engineering, focusing on data storage, processing, and analytics.

  2. Job roles and audience for the course include:

  • Data Engineers
  • Data Architects
  • Data Scientists
  • Database Administrators
  • IT Professionals with a focus on data solutions
  • Business Intelligence Professionals
  • Cloud Solution Architects
  • Professionals seeking certification in Microsoft Azure Data Engineering
  • Technical Team Leads managing data-centric projects
  • Data Analysts aiming to upgrade their skills to include big data and real-time analytics
  • Software Engineers looking to specialize in data engineering on Azure platforms
  • DevOps Engineers working with data-intensive applications and analytics pipelines

Learning Objectives - What you will Learn in this DP-203T00: Data Engineering on Microsoft Azure?

Introduction to DP-203T00: Data Engineering on Microsoft Azure Course Learning Outcomes

This course equips learners with the skills to design and implement data solutions on Microsoft Azure, using various data services and real-time analytics.

Learning Objectives and Outcomes

  • Understand the fundamentals of data engineering on Azure, including data storage, streams, and analytics.
  • Gain proficiency in Azure Data Lake Storage Gen2 for large-scale data storage and analytics.
  • Master querying and data transformation with Azure Synapse Analytics serverless SQL pools.
  • Perform data engineering tasks using Azure Synapse Apache Spark Pools and Databricks.
  • Learn to build, secure, and optimize data pipelines in Azure Synapse Analytics.
  • Develop skills in hybrid transactional and analytical processing (HTAP) with Azure Synapse Link.
  • Implement real-time analytics and stream processing solutions using Azure Stream Analytics and Event Hubs.
  • Integrate Azure Databricks for complex data exploration and transformation tasks.
  • Apply end-to-end security measures to protect data within Azure Synapse Analytics.
  • Explore machine learning capabilities and Power BI integration for advanced analytics in Azure Synapse Analytics.
DP-203T00: Data Engineering on Microsoft Azure

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