Microsoft DP-203 (Data Engineering on Microsoft Azure) Certification Exam is designed to test an individual's knowledge and skills in data engineering using Microsoft Azure. Data Engineering on Microsoft Azure certification is ideal for individuals who work with data and have experience with Azure services such as Azure Synapse Analytics, Azure Data Factory, Azure Databricks, and Azure Stream Analytics. DP-203 exam is intended to validate the candidate's ability to design, implement, and maintain data processing solutions using Microsoft's cloud platform.
Microsoft DP-203 (Data Engineering on Microsoft Azure) Exam is a certification that validates a professional's knowledge and skills in designing and implementing data solutions on Microsoft Azure. DP-203 exam measures an individual's ability to perform tasks such as data storage, processing, and security using Azure technologies. To pass DP-203 exam, candidates must have a comprehensive understanding of Azure data services, including Azure Data Factory, Azure SQL Database, and Azure Cosmos DB.
Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/dp-203
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Microsoft DP-203 Exam Syllabus Topics:
| Section | Weight | Objectives |
| Topic 1: Design and implement data storage | 25-30% | - Develop data storage solutions
- 1. Implement Azure Blob Storage solutions
- 2. Implement Azure Data Lake Storage solutions
- 3. Implement relational data stores (Azure SQL, Synapse)
- Design data storage structures
- 1. Design a data serialization format strategy
- 2. Recommend appropriate storage accounts and services
- 3. Design a data partitioning strategy
|
| Topic 2: Develop data processing | 40-45% | - Develop data transformation logic
- 1. Use Spark in Azure Databricks
- 2. Use SQL-based transformations
- Ingest and transform data
- 1. Implement stream processing solutions
- 2. Use Azure Data Factory for pipelines
- 3. Implement batch processing solutions
|
| Topic 3: Secure data solutions | | - Ensure compliance
- 1. Use Microsoft Purview for governance
- Implement data security
- 1. Manage access control with Azure RBAC
- 2. Implement encryption at rest and in transit
|
| Topic 4: Monitor and optimize data solutions | 30-35% | - Monitor data processing
- 1. Monitor pipelines using Azure Monitor
- 2. Troubleshoot data workflows
- Optimize performance
- 1. Optimize query performance in Synapse
- 2. Optimize data storage performance
|