Microsoft Certified: Azure Data Engineer Associate DP-203

The Microsoft Certified: Azure Data Engineer Associate certification, associated with Exam DP-203, is designed for professionals who want to validate their skills in implementing and managing data solutions on Microsoft Azure. This certification is ideal for data engineers who are responsible for designing and implementing data solutions that provide reliable and scalable data processing and storage.

Exam topics:

1. Azure Data Engineering Fundamentals:

   • Overview of Azure Data Services: Understand the different Azure data services and their roles, including Azure SQL Database, Azure Cosmos DB, Azure Data Lake Storage, and Azure Synapse Analytics.

   • Data Engineering Concepts: Learn about core data engineering concepts, including data integration, data processing, and data warehousing.

2. Designing and Implementing Data Storage Solutions:

   • Data Storage Options: Explore various data storage solutions, including relational databases, NoSQL databases, and data lakes.

   • Implementing Azure SQL Database: Learn how to deploy and manage Azure SQL Database, including configuring performance, security, and backup settings.

   • Implementing Azure Cosmos DB: Understand how to configure and manage Azure Cosmos DB for different data models and use cases.

   • Implementing Azure Data Lake Storage: Learn how to set up and manage Azure Data Lake Storage for big data analytics and storage.

3. Designing and Implementing Data Processing Solutions:

   • Data Processing Techniques: Understand data processing techniques, including batch processing and stream processing.

   • Implementing Azure Data Factory: Learn how to create and manage data pipelines using Azure Data Factory for data movement and transformation.

   • Implementing Azure Databricks: Explore how to use Azure Databricks for big data processing and analytics, including creating and managing clusters and notebooks.

4. Designing and Implementing Data Security and Compliance:

   • Data Security: Learn about security best practices for protecting data, including encryption, access control, and network security.

   • Compliance: Understand compliance requirements and how Azure data services meet regulatory and organizational standards.

5. Optimizing Data Solutions:

   • Performance Tuning: Explore techniques for optimizing performance in data storage and processing solutions, including indexing, caching, and scaling.

   • Cost Management: Learn how to manage costs associated with data solutions and optimize resource usage.

6. Monitoring and Troubleshooting:

   • Monitoring Tools: Understand how to use Azure monitoring tools to track performance, diagnose issues, and ensure the health of data solutions.

   • Troubleshooting Techniques: Learn how to identify and resolve common issues in data solutions, including performance bottlenecks and data inconsistencies.

7. Data Integration and Transformation:

   • Data Integration: Explore methods for integrating data from various sources and platforms, including data lakes, databases, and third-party services.

   • Data Transformation: Learn how to transform data to meet business needs, including data cleansing, enrichment, and aggregation.

8. Data Management:

   • Data Governance: Understand data governance practices, including data cataloging, lineage, and quality management.

   • Data Backup and Recovery: Learn how to implement backup and recovery strategies for data solutions.

9. Advanced Features and Capabilities:

   • Advanced Analytics: Explore advanced analytics features, including machine learning integration and real-time analytics.

   • Integration with Other Azure Services: Understand how to integrate data solutions with other Azure services, such as Azure Machine Learning, Power BI, and Azure Synapse Analytics.

10. Practical Applications:

    • Hands-On Labs: Engage in hands-on labs and exercises to practice designing, implementing, and managing data solutions on Azure.

    • Real-World Scenarios: Explore real-world scenarios and use cases for implementing data engineering solutions using Azure technologies.

Rating Distribution

• 1 stars: 0 votes
• 2 stars: 0 votes
• 3 stars: 0 votes
• 4 stars: 0 votes
• 5 stars: 0 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!