Master Data Engineering on Microsoft Azure with DP-203 Certification
The DP-203T00: Data Engineering on Microsoft Azure course is designed to provide learners with the knowledge and skills required to design and implement data engineering solutions on the Azure platform.
The course covers key Azure services such as Azure Data Lake Storage Gen2, Azure Synapse Analytics, Azure Stream Analytics, and Azure Databricks, helping participants gain a thorough understanding of modern data engineering tools and practices.
Participants will engage in hands-on labs that offer practical experience with tasks like querying data using Serverless SQL Pools, building data workflows with Azure Synapse Apache Spark Pools, and implementing real-time analytics with Azure Stream Analytics.
The course also focuses on security and compliance by exploring end-to-end security solutions. Additionally, learners will discover how to integrate Power BI for advanced reporting and utilize Azure Synapse Analytics for machine learning processes.
Why Choose the DP-203T00: Data Engineering on Microsoft Azure Course?
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Comprehensive Learning
Master key Azure services like Azure Synapse Analytics, Data Lake Storage, and Databricks to build modern data solutions. -
Hands-On Training
Gain practical experience with real-world labs, covering data querying, workflows, and real-time analytics. -
In-Demand Skills
Learn essential skills for roles like Data Engineer and Cloud Specialist, boosting your career prospects. -
Expert Guidance
Train with experienced instructors who offer practical insights and industry best practices. -
Certification Prep
Get fully prepared for the DP-203: Data Engineering on Microsoft Azure certification exam. -
Future-Proof Career
Stay ahead in the growing field of cloud-based data engineering with this globally recognized course.

Highlights of the DP-203T00 - Data Engineering on Microsoft Azure Take your data analytics skills to the next level with our expertly designed DA-100 Analyze Data with Power BI course. Whether you're looking to master data visualization, modeling, or reporting, our comprehensive program offers the perfect blend of theoretical knowledge and hands-on experience.
Global Recognition
Establish yourself as a certified Azure Data Engineer, showcasing your expertise in designing secure and scalable cloud data solutions.
Career Advancement
Unlock roles like Data Engineer, Analytics Specialist, and Cloud Architect, with a credential that’s in high demand worldwide.
Practical Skills Mastery
Gain hands-on experience with key tools like Azure Synapse Analytics, Azure Databricks, and Azure Data Lake Storage.
Business Impact
Contribute to organizational growth by enabling data-driven decisions through efficient data processing and analytics.
Competitive Advantage
Enhance your skills in Microsoft Azure, one of the most sought-after cloud platforms, giving you a distinct edge in the tech industry.
Pathway to Growth
Use this certification as a foundation for pursuing advanced Microsoft certifications in data analytics, machine learning, and beyond.
About the DA-100 Power BI Certification
The DP-203T00: Data Engineering on Microsoft Azure course provides a comprehensive learning experience for designing, building, and implementing scalable data engineering solutions using Microsoft Azure. This course delves into Azure’s robust data services, including Azure Data Lake Storage Gen2, Azure Synapse Analytics, Azure Stream Analytics, and Azure Databricks, ensuring participants gain hands-on experience in real-world scenarios.
Participants will learn how to process, transform, and analyze large datasets, implement secure and scalable data workflows, and perform real-time analytics to support business insights. The course also emphasizes data security, compliance best practices, and the integration of tools like Power BI for advanced reporting and Azure Synapse for machine learning workflows.
Introduction to Data Engineering on Azure
- Understanding the role of a data engineer in the cloud.
- Overview of Azure’s data engineering ecosystem.
- Benefits of scalable cloud-based data solutions.
Azure Data Storage Solutions
- Introduction to Azure Data Lake Storage Gen2.
- Designing data storage for batch and streaming data.
- Managing structured, unstructured, and semi-structured data.
Azure Data Integration and Processing
- Querying data using Serverless SQL Pools.
- Building and managing data workflows with Azure Synapse Spark Pools.
- Real-time analytics implementation using Azure Stream Analytics.
Advanced Analytics and Insights
- Integrating Power BI for interactive reporting and dashboards.
- Utilizing Azure Synapse Analytics for predictive analytics and machine learning.
Data Security and Compliance
- Implementing end-to-end data security measures.
- Understanding compliance standards such as GDPR and HIPAA.
- Securing data pipelines with encryption and role-based access.
Exam Preparation and Practical Labs
- Examining the format and structure of the DP-203 certification exam.
- Hands-on labs to reinforce key skills, such as data querying, workflow optimization, and data security implementation.
- Tips and best practices for passing the certification exam.
This course is tailored for professionals who:
- Work as data engineers, data analysts, or cloud architects seeking to specialize in Azure data solutions.
- Manage data processing, analytics, and storage in cloud environments.
- Aim to earn the DP-203: Data Engineering on Microsoft Azure certification to boost their career.
- Developers or IT professionals transitioning to cloud-based data engineering roles.
- Organizations looking to empower their teams with advanced Azure data engineering expertise.
To maximize the value of this course, participants should have:
- A basic understanding of data structures, storage systems, and processing workflows.
- Experience with SQL and scripting languages like Python or Scala.
- Familiarity with cloud computing concepts (preferably Azure).
- Foundational knowledge of ETL (Extract, Transform, Load) processes.
- Certification Exam: DP-203: Data Engineering on Microsoft Azure
- Exam Format: Multiple-choice, multiple-response, and performance-based tasks.
- Exam Duration: Approximately 120 minutes.
- Passing Score: 700 out of 1000.
- Languages Available: English, Japanese, Chinese (Simplified), Korean.
- Skills Assessed:
- Designing and implementing data storage solutions.
- Developing, managing, and optimizing data processing workflows.
- Ensuring end-to-end security and compliance for data solutions.
- Integrating data analytics and reporting tools.
By completing the DP-203T00: Data Engineering on Microsoft Azure course, participants will be able to:
- Design Data Solutions: Create efficient and scalable data storage solutions using Azure Data Lake Storage Gen2 and Synapse Analytics.
- Implement Data Processing: Develop and manage workflows for batch and real-time data using Synapse Apache Spark Pools and Azure Stream Analytics.
- Leverage Azure Integration: Utilize tools like Power BI for reporting and integrate machine learning workflows with Azure Synapse Analytics.
- Enhance Security: Apply best practices for end-to-end data security and meet compliance requirements.
- Build Scalable Pipelines: Optimize data pipelines for processing and analyzing large datasets.
- Prepare for Certification: Gain the knowledge and confidence to pass the DP-203 certification exam on your first attempt.
Testimonials
Frequently Asked Questions (FAQs)
What is the DP-203T00: Data Engineering on Microsoft Azure course?
This course is designed to teach participants how to design and implement scalable data engineering solutions using Azure services such as Azure Synapse Analytics, Azure Data Lake Storage Gen2, Azure Stream Analytics, and Azure Databricks. It includes hands-on labs and prepares you for the DP-203 certification exam.
Who should take this course?
The course is ideal for:
- Data Engineers and Data Analysts.
- IT professionals working with cloud-based data solutions.
- Developers transitioning to cloud-based data engineering roles.
- Individuals preparing for the DP-203: Data Engineering on Microsoft Azure certification.
Are there any prerequisites for this course?
Yes, participants should have:
- Basic knowledge of SQL and scripting languages like Python or Scala.
- Familiarity with cloud computing concepts.
- Understanding of data storage and processing fundamentals.
How long is the course, and how is it structured?
The course typically spans 3-5 days (depending on the training provider) and includes:
- Instructor-led sessions or self-paced learning.
- Hands-on labs and real-world scenarios.
- Exam preparation and practical exercises.
What topics are covered in this course?
Key topics include:
- Designing and implementing data storage solutions.
- Developing and managing data workflows.
- Real-time analytics with Azure Stream Analytics.
- Securing data and ensuring compliance.
- Integrating tools like Power BI and Azure Synapse for analytics and machine learning.
Is the DP-203 certification exam included in the course?
The course fee typically does not include the certification exam fee. You will need to register for the DP-203: Data Engineering on Microsoft Azure exam separately via the Microsoft Certification portal.
What is the format of the DP-203 certification exam?
The exam includes:
- Multiple-choice and multiple-response questions.
- Performance-based tasks.
- It lasts approximately 120 minutes and requires a minimum score of 700 to pass.
What benefits will I gain from earning the DP-203 certification?
- Recognition as a certified Azure Data Engineer.
- Enhanced career prospects in data engineering and cloud-based roles.
- Proficiency in leveraging Azure tools for data processing, storage, and analytics.
Can I take this course online?
Yes, the course is available in both instructor-led virtual training and self-paced online formats, allowing flexibility based on your schedule.
How can I prepare for the DP-203 exam after completing the course?
- Review the course materials and hands-on labs.
- Practice using sample exam questions.
- Utilize Microsoft’s official exam prep resources and practice tests.