Preparing for Azure Data Engineer Certification: DP-203 Data Engineering on Microsoft Azure Exam
What you will learn
This course is ideal for students aspiring to achieve the “Microsoft Certified: Azure Data Engineer Associate” Dp-203 certification.
It includes comprehensive content aligned to pass DP-203 exam.
Students will gain hands-on experience in implementing and managing data engineering workloads using Microsoft Azure.
The course covers key Azure services, including Azure Synapse Analytics, ADF, Azure Data Lake Storage Gen2, Azure Stream Analytics, and Azure Databricks.
Past Papers and Practice: Access to 500 exam questions to solidify knowledge and prepare for certification.
Why take this course?
This course is ideal for students aspiring to achieve the “Microsoft Certified: Azure Data Engineer Associate” certification.
It includes comprehensive content aligned with the DP-203 exam.
The course objectives focus on the following areas:
- Design and implement data storage (15–20%)
- Develop data processing (40–45%)
- Secure, monitor, and optimize data storage and data processing (30–35%)
This Course structure organizes the course into a logical progression while providing a clear breakdown of the covered topics. Here’s is the structured outline of the course sections:
1. Introduction and Setup
‘;
}});
- Overview of the course and initial setup.
2. Design and Implement Data Storage
- Azure Data Lake: Understanding and implementing data storage with Azure Data Lake.
- Azure SQL Server: Designing storage solutions using Azure SQL Server.
- Cosmos DB: Exploring storage capabilities with Cosmos DB.
- Azure Synapse Analytics: Building and managing storage in Azure Synapse Analytics.
3. Develop Data Processing
- Azure Synapse Spark Pool: Leveraging Spark pools in Azure Synapse for data processing.
- Azure Data Factory: Developing ETL pipelines and data flows in Azure Data Factory.
- Azure Databricks: Implementing data processing workflows with Azure Databricks.
- Azure Event Hubs: Streaming and processing real-time data using Azure Event Hubs.
- Azure Stream Analytics: Real-time data stream processing with SQL-based queries.
4. Secure Your Data
- Azure Data Lake Security: Implementing security best practices for Azure Data Lake.
- Azure Synapse Analytics Security: Securing data in Azure Synapse Analytics.
- Azure Data Factory and Databricks Security: Ensuring secure data workflows in Azure Data Factory and Databricks.
4. Monitor and Optimize
- Azure Data Lake Storage: Monitoring and optimizing storage performance.
- Azure Data Factory: Ensuring efficient operations with monitoring tools.
- Azure Synapse Analytics: Performance tuning and monitoring analytics workloads.
- Azure Stream Analytics and Cosmos DB: Streamlining data streams and database operations.
- Data Governance with Microsoft Purview: Managing and governing data using Microsoft Purview.
5. Exam Preparation
- Past Papers and Practice: Access to 500 exam questions to solidify knowledge and prepare for certification.
