Microsoft - DP-203 Certification Exam Details, Questions and Answers
Certification Provider
MicrosoftExam
DP-203: Data Engineering on Microsoft AzureNumber of questions (in our database)
137Updated on
25 January 2024
Topics
Microsoft's DP-203: Data Engineering on Microsoft Azure Certification Exam
Exam Details
Microsoft's DP-203 certification exam is a testament to the candidate's knowledge and skills in data engineering on Microsoft Azure. It is a globally recognized credential that demonstrates the candidate's ability to design and implement data solutions that use Azure data services.
Importance of the Certification
Obtaining this certification validates your skills in working with data on the Azure platform, enhancing your professional credibility and increasing your career opportunities in the data engineering field. It also positions you effectively for roles that require proficiency in cloud-based data solutions.
Technical Details
The DP-203 certification exam focuses on various technical aspects of data engineering on Azure. The exam is designed to assess your understanding of how to work with relational and non-relational data on Azure, and your skills in implementing data workloads, data security, and privacy controls.
Measured Skills
- Designing and implementing data storage
- Designing and developing data processing
- Designing and implementing data security
- Monitoring and optimizing data storage and data processing
- Designing and implementing for disaster recovery
Preparation Advice
To prepare for the DP-203 exam, candidates should have substantial hands-on experience with Azure and should familiarize themselves with the objectives of the exam. Microsoft provides various learning paths and resources that can help you prepare effectively. Practice tests and exam dumps can also be beneficial in assessing your readiness for the exam.
Exam Topics
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Design and Implement Data Storage (20% - 30%)
- Design and implement Azure data storage solutions
- Design and implement relational database solutions
- Design and implement non-relational data storage solutions
- Design and implement hybrid data storage solutions
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Batch Data Processing (15% - 25%)
- Develop batch processing solutions using Azure Data Factory
- Design and implement data pipelines using Azure Data Factory
- Design and implement data transformation activities using Azure Data Factory
- Design and implement data integration using Azure Data Factory
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Real-time Data Processing (15% - 25%)
- Design and implement stream processing solutions using Azure Stream Analytics
- Design and implement event processing solutions using Azure Event Hubs
- Design and implement messaging solutions using Azure Service Bus
- Design and implement data ingestion solutions using Azure Event Grid
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Data Orchestration and Transformation (15% - 25%)
- Design and implement data orchestration solutions using Azure Logic Apps
- Design and implement data transformation solutions using Azure Databricks
- Design and implement data integration solutions using Azure Synapse Pipelines
- Design and implement data import and export solutions using Azure Data Factory
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Data Security and Compliance (10% - 15%)
- Implement data security
- Implement data privacy and compliance
- Implement data retention and archiving
- Implement data encryption and masking
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Monitoring and Troubleshooting (10% - 15%)
- Monitor and troubleshoot data storage
- Monitor and troubleshoot data processing
- Monitor and troubleshoot data orchestration
- Monitor and troubleshoot data security and compliance